Summary:As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.Required Skills:Data Engineer, Product Analytics Responsibilities:Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systemsCreate and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolveCollaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful wayDefine and manage Service Level Agreements for all data sets in allocated areas of ownershipDetermine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownershipDesign, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domainsSolve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sourcesAssist in owning existing processes running in production, optimizing complex code through advanced algorithmic conceptsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifactsInfluence product and cross-functional teams to identify data opportunities to drive impactMentor team members by giving/receiving actionable feedbackMinimum Qualifications:Minimum Qualifications:Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)Preferred Qualifications:Preferred Qualifications:Master's or Ph.D degree in a STEM fieldPublic Compensation:$173,000/year to $242,000/year + bonus + equity + benefitsIndustry: InternetEqual Opportunity:Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Technology

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems,Computer and Information Science,Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Certification(s) Required

GCP Professional Cloud Architect, GCP Data Engineer

QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification

Preferred Qualifications

Certification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates extensive abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;

Lead the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;

Develop and deploy scalable data storage solutions using GCP services;

Architect, design, and implement scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;

Design, implement, and manage workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;

Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;

Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architect and oversee implementation of IAM roles and policies to manage access and permissions within GCP;

Develop automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;

Architect and implement services using GCP DevOps services to build and deploy DevOps pipelines;

Develop data security best practices using GCP;

Optimize Cloud resources for cost, performance, and scalability;

Possess strong proficiency in SQL and experience with relational databases;

Demonstrate familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Possess proven analytical, problem-solving, and communication skill; and,

Work independently and as part of a team in a fast-paced environment.

Demonstrates extensive level abilities with, and/or a proven record of success directing efforts in the following areas:

Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Understand personal and team roles, contribute to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritize and handle multiple tasks, research and analyze pertinent client, industry and technical matters, utilize problem-solving skills, and communicate in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,

Coach and collaborate with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Technology

Time Type: Full time

Travel Requirements: Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Craft and convey clear, impactful and engaging messages that tell a holistic story.

Apply systems thinking to identify underlying problems and/or opportunities.

Validate outcomes with clients, share alternative perspectives, and act on client feedback.

Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.

Deepen and evolve your expertise with a focus on staying relevant.

Initiate open and honest coaching conversations at all levels.

Make difficult decisions and take action to resolve issues hindering team effectiveness.

Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Minimum Year(s) of Experience

8 year(s)

Certification(s) Required

GCP Professional Cloud Architect, GCP Data Engineer

QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification

Preferred Qualifications

Certification(s) Preferred

Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate

Preferred Knowledge/Skills

Demonstrates in-depth abilities and/or success in one or many of the following areas:

Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;

Developing and documenting data models, data flow diagrams, and data architecture guidelines;

Assessing that data architecture is compliant with data governance and data security policies;

Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;

Evaluating and recommending new data technologies and tools to enhance data architecture;

Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;

Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;

Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;

Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage;

Developing and deploying scalable data storage solutions using GCP services;

Architecting, designing,and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;

Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;

Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible;

Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP;

Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;

Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines;

Developing data security industry standard practices using GCP;

Optimizing Cloud resources for cost, performance, and scalability;

Demonstrating strong proficiency in SQL and experience with relational databases;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security industry practices;

Possessing strong analytical, problem-solving, and communication skill; and,

Working independently and as part of a team in a fast-paced environment.

Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;

Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,

Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $130,000 - $256,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

#LI-Hybrid

Are you ready to step up to the New and take your technology expertise to the next level?

Join Accenture and help transform leading organizations and communities around the world.  The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.  Choose Accenture and make delivering innovative work part of your extraordinary career.

As part of our Google Cloud Platform practice, you will lead technology innovation for our clients through robust delivery of world-class solutions.   There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a growing network of technology experts who are highly collaborative taking on today’s biggest, most complex business challenges.  We will nurture your talent in an inclusive culture that values diversity.  Come grow your career in technology at Accenture!

Google Cloud Platform (GCP) Data Engineer will be responsible for architecting transformation and modernization of enterprise data solutions on GCP integrating native GCP services and 3rd party data technologies. A solid experience and understanding of considerations for large scale architecting, solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must . We are looking for candidates who have a broad set of technology skills across these areas and who can demonstrate an ability to design right solutions with appropriate combination of GCP and 3rd party technologies for deploying on GCP cloud.

Key responsibilities may include:

Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP.

As a Data Engineer, work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large scale data solutions in the enterprise, using modern data/analytics technologies on premise and cloud

Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP

Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments

Analyze and understand Big Data and analytical technologies on GCP and provide thought leadership to clients to assist with defining their architecture, data, analytics strategies

Communicate complex technical topics to non-technical business and sr. executives

Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software

Supporting Data migration and transformation projects.

Knowledge on Google AutoML framework to build intelligence into the data pipelines.

Travel may be required for this role.  The amount of travel will vary from 25% to 100% depending on business need and client requirements.

GCP Services : Minimum of 5 year's experience in any cloud platform including 2 years of Deep experience with GCP data and analytics services including Spark, Cloud DataProc , Cloud Dataflow, Apache Beam, BigTable , Cloud BigQuery , Cloud PubSub , Cloud Functions

Data Warehousing & Pipelines: Minimum of 3 years of p roven ability to re-architect and re-platform on-premise data warehouses to GCP, and design/build production data pipelines within hybrid architectures using Java, Python, or Scala.

Data Platform Architecture: Minimum of 3 years of e xpertise in architecting and implementing next-generation data and analytics platforms on GCP, including data engineering, ingestion, and curation functions using GCP native or custom programming.

Data Lake & Ingestion: Minimum of 3 years of h ands-on experience architecting & designing data lakes on GCP, and implementing data ingestion solutions using GCP native services or 3rd-party tools like Talend/Informatica

Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable

Vertex AI : Minimum of 2 years of p roficiency in using Google Cloud's Vertex AI platform for building, deploying, and managing machine learning models, including GenAI models.

MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models .

Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate’s Degree , must have a minimum 6 years work experience)

Preferred Qualifications

Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP.

Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production

Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud

Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP

SQL : 3 + years experience writing complex SQL queries and stored procedures

Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models.

Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models.

Certifications: Google Certified Professional Data Engineer

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York or Washington as set forth below.We accept applications on an on-going basis and there is no fixed deadline to apply.

Information on benefits is here. (https://www.accenture.com/us-en/careers/local/total-rewards)

Role Location Annual Salary Range

California $73,800 to $220,400

Colorado $73,800 to $190,400

District of Columbia $78,500 to $202,700

Illinois $68,300 to $190,400

Minnesota $73,800 to $190,400

Maryland $68,300 to $176,300

New York $68,300 to $220,400

Washington $78,500 to $202,700

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here (https://www.accenture.com/us-en/about/inclusion-diversity/us-workforce)

Equal Employment Opportunity Statement

Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Accenture is committed to providing veteran employment opportunities to our service men and women.

For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement (https://www.accenture.com/content/dam/accenture/final/accenture-com/document/Annual-Policy-Statement-Regarding-EEO-2023-Applicant.pdf#zoom=50) .

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email (https://www.accenture.com/us-en/about/contact-us) or speak with your recruiter.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

The incumbent must reside in California at the time of appointment (start date) pursuant to Government Code section 14200. Relocation is not provided.
Employees must provide acceptable documentation as shown on the Form I-9 to show their identity and authorization to work. Please review the acceptable documentation to determine if you are eligible to apply and accept employment. Please note, the department is not able to be a sponsor.
The Cradle-to-Career (C2C) program is a longitudinal data system that will provide policymakers, researchers, educators, students, families, and other stakeholders answers to key questions about student progression and outcomes. Ultimately, C2C will be a useful tool that will help provide critical information about the pipelines from early care to K-12 to higher education skills training and employment along with health and human services data.
Under administrative direction from the Director of Data Infrastructure, the Senior Data Engineer will serve as the lead on data pipeline engineering. You will be a proponent for modern data stack approaches at the state. You will ensure that data is available as a service for warehouses, digital services, dashboards, etc. The Senior Data Engineer will plan, develop, and document policies and best practices for the Office of Cradle-to-Career Data. You'll collaborate with other team members to help adopt modern cloud-based data practices.
About You
You are a systems and platform thinker that loves enabling data teams with tools to do their work efficiently and effectively. The following captures the intersection of your interests and expertise:
<ul>
<li>You love engaging with people as much as engaging with data and technology.</li>
<li>You are constantly learning and engaged in the modern data stack ecosystem and enjoy staying up to date on emerging and best practices.</li>
<li>You have a knack for and enjoy communicating technical and architectural tradeoffs clearly to different audiences.</li>
<li>You value simplicity and elegance in architecting solutions over needless complexity.</li>
<li>You like keeping knowledge fresh on platforms and are willing to support the team on testing and implementing platforms.</li>
<li>You value good documentation and guidance to help others successfully use data platforms.</li>
<li>You take pleasure in sharing your knowledge and experience with others to help them succeed in adopting modern data practices.</li>
<li>You relish demonstrating the value of a cloud-first approach to data tools and the benefits of applying software engineering approaches to data work.</li>
<li>You are excited about applying your talents to improve the lives of Californians.</li>
</ul>
This recruitment is being readvertised. If you applied to JC-415174 and want to be considered for this recruitment, you must apply again.
We are advertising this position as until filled. We will review applications every two weeks beginning 8/30/2024.
You will find additional information about the job in the Duty Statement: <a href="#">Duty Statement</a>
You will find the Minimum Requirements in the Class Specification.
<ul>
<li><a href="#">INFORMATION TECHNOLOGY SPECIALIST III</a></li>
</ul>
To formally apply, follow the steps below - the hiring manager will only be able to review applications and resumes on the California state career site: CalCareers in the link below.
Applicants requiring reasonable accommodations for the hiring interview process must request the necessary accommodations if scheduled for a hiring interview. The request should be made at the time of contact to schedule the interview. Questions regarding reasonable accommodations may be directed to the EEO contact listed on this job posting.
Steps for how to apply =
- For more details of the job responsibilities (Duty Statement), the minimum requirements, comp/benefits, how to apply and more click on the job posting link: <a href="#">Job Posting</a>
- You will need to take the Information Technology Specialist III exam if you have not already.
<ul>
<li>PLEASE view the details of the “Examination Information” AND the “Training and Experience Examination Preview” in the exam link.</li>
<li>Click 'Apply' --> Login or create a CalCareers account if you do not have one already. Then click 'Continue' for the exam.</li>
</ul>
- Once you have taken the exam, go back to the job posting and click Apply --> "I have eligibility".
- Attach your resume and responses to the Statement of Qualifications. See the "Special Requirements" section for details on the Statement of Qualifications.
--> Not attaching your SOQ response to your application on CalCareers may prevent you from moving forward in the hiring process.
A couple tips to share for the exam and Statement of Qualifications:
- The Statement of Qualifications are like interview questions that you answer in writing. We do recommend using word.doc for your responses and keeping to the requirements if it says two pages for example.
- For the ‘exam,’ the exams are questions around your experience. Include all your experience from every job to volunteer work, internships, leading groups and/or projects, and more.
Equal Opportunity Employer
The State of California is an equal opportunity employer to all, regardless of age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding and related medical conditions), and sexual orientation.
It is an objective of the State of California to achieve a drug-free workplace. Any applicant for state employment will be expected to behave in accordance with this objective.
Job Type: Full-time
Pay: $9,230.00 - $12,369.00 per month
Benefits:
<ul>
<li>Dental insurance</li>
<li>Flexible spending account</li>
<li>Health insurance</li>
<li>Health savings account</li>
<li>Life insurance</li>
<li>Paid time off</li>
<li>Retirement plan</li>
<li>Vision insurance</li>
</ul>
Schedule:
<ul>
<li>Monday to Friday</li>
</ul>
Work Location: Hybrid remote in Sacramento, CA 95811
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Summary: Facebook is seeking a data center Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers serve as the foundation upon which our software operates to meet the demands of our customers. The Critical Facility Engineer will be a part of the Facility Operations team responsible for operating and maintaining critical systems in our data centers. The candidate will need to be experienced in diverse industries such as electrical generation, electrical distribution, cooling technologies and fire protection systems. Required Skills: Critical Facility Engineer Responsibilities: Perform hands-on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure the highest levels of uptime, efficiency, and safety without disruption to the business Complete work order requests accurately and on time Maintain a positive and professional working relationship with cross functional teams Respond quickly, using Facebook procedures or emergency operating procedures to data center facility emergencies Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults Troubleshoot, evaluate and recommend system upgrades Order parts and supplies for maintenance and repairs Work with vendors and contractors to ensure work is in accordance with the agreed Facebook processes, procedures, and standards Escalate issues to facility management appropriately and timely Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service Provides technical expertise and assistance as required Provides recommendation of improvements to the operations and maintenance program on an on-going basis Ability to work night shift work and set shift which may include nights and holidays Minimum Qualifications: Minimum Qualifications: High school diploma or equivalent (i.e. GED) 5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field Associate's degree in engineering plus 3+ years experience or Bachelor's degree in related field plus 2+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience Knowledge of Microsoft Office Suite - Word, Excel and Outlook Experience interpreting blueprints/CAD drawings Regularly walk job site areas of flat and uneven terrain Work at varying heights and from ladders Use hands and fingers Reach/push/pull with hands/arms/shoulders Stoop, kneel, crouch and crawl May lift and/or otherwise move 45 pounds or more Preferred Qualifications: Preferred Qualifications: 3+ years experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.) Trade Certification or state license in Electrical or Mechanical (HVAC) Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.) Knowledge of CMMS systems Knowledge of critical facilities operations Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments Industry: Internet Equal Opportunity: Facebook is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at .

Job Description

The Oracle Cloud Infrastructure Compute team is seeking a passionate, experienced Senior Data and Business Intelligence Engineer ready to tackle complex business and technical challenges through the visualization and analysis of data, in a fast-paced environment. As OCI continues to scale to demands of an ever-growing customer base and regions, we need engineers who can lead data-driven initiatives to ensure OCI continues to provide an outstanding customer experience while continuously improving the efficiency of development processes. The ideal candidate is someone who thrives in the face of ambiguity and can quickly distill abstract ideas into concrete solutions, and has a proven track record of delivering complex business intelligence and reporting solutions across a highly complex environment involving multiple organizations, departments and teams.

Location: ideally Seattle, WA, also open to Austin, TX or Santa Clara, CA - hybrid role 3 days in office

Career Level - IC3

Responsibilities

The Senior Data and Business Intelligence Engineer will be responsible for managing complex data pipelines, dashboards and business intelligence initiatives that impact both product and business for OCI. In addition, this specific role requires a passion for solving high-impact problems and the ability to jump into any in-flight project and get it on the rails.

Specific responsibilities for this role include:

Define and implement business data reporting and analysis requirements.

Perform data modelling and integration activities in data warehouse systems.

Implement business intelligence solutions to achieve data reporting and analysis goals.

Support the development of business intelligence standards to meet business goals.

Coordinate with the business units to identify new data requirements, analysis strategies and reporting mechanisms.

Assist in design and generation of reports in timely and accurate manner.

Train and guide the junior engineers in data reporting and analytical skills.

Recommend enhancements and modifications to optimize business intelligence processes.

Design, build, and maintain automated reporting, dashboards, and deep dives to enable our team to self-service 80% of data needs, allowing you to focus on answering hard and ambiguous problems.

Write high-quality SQL queries to retrieve and analyze data from database tables (ex. Oracle, MySQL).

Build scalable data solutions; data sets, views, queries, reports, dashboards, and scheduled processes.

Troubleshoot code, research root causes, document solutions, and communicate to all stakeholders.

Track reporting and production anomalies.

Ensure data is within required quality standards.

Keeps stakeholders informed about problems and resolutions. Deliver products on schedule and communicate updates regularly.

Identify, track, and resolve data issues, working in partnership with other Business Intelligence Engineers to ensure data is accurate, complete, delivered on-time and supports the needs of the business.

Basic Qualifications

5-8+ years relevant work experience in program and project management

3-5 years of hands-on SQL experience

Bachelor’s or higher degree in Computer Science, Information Technology or Engineering

The candidate must be proficient in Excel and SQL

Ability to effectively represent engineering perspectives to partner organizations, product teams, and executive leadership.

Excellent oral and written communications skills and experience interacting with both business and Development/Engineering staff at all levels including the executive level.

Solid analytical, planning, and interpersonal skills with an ability to handle competing demands.

Strong knowledge and understanding of business need with the ability to establish/maintain high level of customer trust and confidence.

Preferred Qualifications

Data visualization and polished communication skills.

Experience with cloud services, virtualization, or SaaS products

Maturity, judgment, negotiation/influence skills, analytical skills, and leadership skills

Self-driven problem solver; able to adapt and thrive in a dynamic, ambiguous, and customer-focused environment

Highly analytical, technically proficient, and able to learn new tools and software quickly

Demonstrated ability to effectively communicate (oral and written) at different levels in the org

Experience using agile software development practices and associated tooling

Job duties are varied and complex utilizing independent judgment. May have project lead role. 5 years relevant work experience. BS/BA preferred.

About Us

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling +1 888 404 2494, option one.

Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer

Specialty/Competency:  Data, Analytics & AI

Industry/Sector:  EUR X-Sector

Time Type:  Full time

Travel Requirements:  Up to 80%

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

Analyse and identify the linkages and interactions between the component parts of an entire system.

Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.

Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.

Develop skills outside your comfort zone, and encourage others to do the same.

Effectively mentor others.

Use the review of work as an opportunity to deepen the expertise of team members.

Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.

Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

Minimum Degree Required

Bachelor's Degree

Required Field(s) of Study

Management Information Systems, Computer and Information Science, Systems Engineering,Electrical Engineering,Chemical Engineering,Industrial Engineering,Mathematics,Statistics,Mathematical Statistics

Minimum Year(s) of Experience

5 year(s)

Preferred Qualifications

Demonstrates abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet the current and future business needs;

Develop and document data models, data flow diagrams, and data architecture guidelines;

Ensure data architecture is compliant with data governance and data security policies;

Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;

Evaluate and recommend new data technologies and tools to enhance data architecture;

Build, maintain, and optimize ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing;

Build, maintain, and optimize Data Quality rules leveraging DQ tools and/or other ETL/ELT tools;

Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;

Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;

Design and manage data warehouses and data lakes, ensuring data is organized and accessible;

Monitor and troubleshoot data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;

Implement IAM roles and policies to manage access and permissions within AWS, Azure, GCP;

Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;

Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;

Implement data security best practices using AWS, Azure, GCP, Snowflake or Databricks;

Optimize Cloud resources for cost, performance, and scalability;

Strong proficiency in SQL and experience with relational databases;

Proficient in programming languages such as Python, Java, or Scala;

Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;

Experience with machine learning and data science workflows is a plus;

Knowledge of data governance and data security best practices;

Strong analytical, problem-solving, and communication skill; and,

Ability to work independently and as part of a team in a fast-paced environment.

Demonstrates thought leader-level abilities with, and/or a proven record of success directing efforts in the following areas:

Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;

Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;

Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment; and,

Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance.

Learn more about how we work: https://pwc.to/how-we-work

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.

Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

The salary range for this position is: $100,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

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