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 thats 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 todays 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: <ul> <li> Lead a team of data engineers in designing, developing, testing, and deploying high performance data analytics solutions in GCP. </li> <li> 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 </li> <li> Experience in building solution architecture, provision infrastructure, secure and reliable data-centric services and application in GCP </li> <li> Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments </li> <li> 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 </li> <li> Communicate complex technical topics to non-technical business and sr. executives </li> <li> Experience working with recommendation engines, data pipelines, or distributed machine learning and experience with data analytics and data visualization techniques and software </li> <li> Supporting Data migration and transformation projects. </li> <li> Knowledge on Google AutoML framework to build intelligence into the data pipelines. </li> </ul> Travel may be required for this role. ?The amount of travel will vary from 25% to 100% depending on business need and client requirements. <ul> <li> 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 </li> <li> 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. </li> <li> 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. </li> <li> 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 </li> <li> Data Modeling & Optimization: Minimum of 3 years of p roficiency in designing and optimizing data models on GCP using BigQuery and BigTable </li> <li> 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. </li> <li> MLOps for GenAI : Minimum of 2 years of e xperience in implementing MLOps practices for the development, deployment, and monitoring of GenAI models . </li> <li> Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associates Degree , must have a minimum 6 years work experience)? </li> </ul> Preferred Qualifications <ul> <li> Metadata Management, Governance & Security: Experience architecting and implementing metadata management, data governance, and security for data platforms on GCP. </li> <li> Performance Engineering: Ability to design operations architecture and conduct performance engineering for large-scale data lakes in production </li> <li> Hadoop/NoSQL: Experience architecting and operating large production years Hadoop /NoSQL clusters on-premise or in the cloud </li> <li> Self-Service Data Prep: Familiarity with introducing and operationalizing self-service data preparation tools (e.g., Trifacta, Paxata ) on GCP </li> <li> SQL : 3 + years experience writing complex SQL queries and stored procedures </li> <li> Generative AI Studio: Experience with Generative AI Studio for prototyping and experimenting with generative AI models. </li> <li> Model Garden: Familiarity with Google's Model Garden and its offerings for accessing and deploying pre-trained GenAI models. </li> <li> Certifications: Google Certified Professional Data Engineer </li> </ul> 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.

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.

Gridware exists to enhance and protect the mother of all networks: the electrical grid. The grid touches everything, and when it grinds to a halt, the consequences can be dire: wildfires burn, land is destroyed, property is damaged, progress stops, and lives are lost.Our team engineers an advanced sensing system to continuously analyze both the electrical and mechanical behavior of grid assets. Utilizing high-precision sensor arrays, the system identifies and allows preemptive mitigation of faults. The technology has been proven with utilities to bolster safety, reliability, and reduce customer outage durations. The demand for power will only increase. We protect the grid of today while we build the grid of tomorrow.Gridware is privately held and backed by the best climate-tech and Silicon Valley investors. We are headquartered in the Bay Area in northern California.<h3>Role Description:</h3>The Senior Data Engineer is responsible for designing, building, and optimizing data pipelines and infrastructure to support real-time grid monitoring systems. This role involves handling large-scale sensor data, ensuring data integrity, and enabling seamless data flow for analysis and decision-making.<h3>Responsibilities:</h3>The Senior Data Engineer will, as a starting point, be responsible for the following:<ol> <li> Design, develop, and maintain scalable data pipelines and architectures.</li> <li> Implement data ingestion, transformation, and storage solutions.</li> <li>Ensure data quality and integrity across various data sources and destinations.</li> <li>Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.</li> <li>Optimize and tune data workflows for performance and efficiency.</li> <li>Monitor, troubleshoot, and resolve issues in data pipelines and related systems.</li> <li>Document data processes, architecture, and workflow procedures.﻿﻿</li> </ol><h3>Required Skills:</h3><ul> <li>5+ years’ proven experience in data engineering or a similar role.</li> <li>Strong proficiency in SQL and experience with relational and time series databases</li> <li>Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).</li> <li>Proficiency in Python</li> <li>Experience with Databricks, Grafana</li> <li>Knowledge of data modeling, ETL processes, and data warehousing concepts.</li> <li>Knowledge of version control, automated deployments, and testing pipelines</li> <li>Familiarity with data governance and data security best practices.</li> <li>Excellent problem-solving skills and attention to detail.</li> <li>Strong communication and collaboration skills.</li> </ul><h3>Bonus Skills:</h3>The ideal candidate will also have:<ul> <li>Knowledge of machine learning and data science concepts.</li> <li>Experience with real-time data processing frameworks</li> <li>Familiarity with IOT / embedded systems</li> <li>Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).</li> <li>Experience in high-growth startup environments where you must wear many hats</li> <li>Experience with Protobuf</li> <li>Familiarity with monitoring and alerting systems for real-time IoT time series analysis.</li> </ul>We encourage you to apply even if you don’t have all of the bonus skills listed above. We believe diverse perspectives drive innovation and growth.<h3>Benefits:</h3><ul> <li>Flexible hours / hybrid schedule for those in the Bay Area</li> <li>Health, Dental & Vision (Gold and Platinum plans fully covered)</li> <li>Paid parental leave</li> <li>Commuter allowance</li> <li>Company-paid training</li> </ul>Gridware is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.
#J-18808-Ljbffr

Gridware's mission is to create a future where power outages and electric grid hazards (think wildfire ignition) are a thing of the past. We provide a truly full-stack (hardware + firmware + software) solution for the real-time monitoring of America’s critical infrastructure. The system centers around low-cost hardware platforms that are easily and permanently deployed to power poles. The platform detects and predicts physical fault phenomena, expedites repairs during power outages, and helps utilities demonstrate risk reduction to regulators through comprehensive asset health profiles.Gridware's technology is designed to unlock essential values for other adjacent verticals. Our unique positioning allows us to solve some of the world's most burning challenges -- from helping policy makers make data-driven infrastructure decisions to helping farmers overcome micro-climate challenges. While others turn a blind eye to these aged and highly-regulated industries, we at Gridware believe it's our duty to find win-for-all scenarios that lead to a prosperous future for coming generations.Gridware is a privately-held, YC-backed company with funding from some of the best climate & hard tech investors in the world.<h3>Responsibilities</h3><ol><li>Design, develop, and maintain scalable data pipelines and architectures.</li><li>Implement data ingestion, transformation, and storage solutions.</li><li>Ensure data quality and integrity across various data sources and destinations.</li><li>Collaborate with software engineers, data scientists, analysts, and other stakeholders to meet data requirements.</li><li>Optimize and tune data workflows for performance and efficiency.</li><li>Monitor, troubleshoot, and resolve issues in data pipelines and related systems.</li><li>Document data processes, architecture, and workflow procedures.</li></ol><h3>Required Skills</h3><ol><li>5+ years’ proven experience in data engineering or a similar role.</li><li>Strong proficiency in SQL and experience with relational and time series databases.</li><li>Hands-on experience with big data technologies (e.g., Hadoop, Spark, Kafka).</li><li>Proficiency in Python.</li><li>Experience with Databricks, Grafana.</li><li>Knowledge of data modeling, ETL processes, and data warehousing concepts.</li><li>Knowledge of version control, automated deployments, and testing pipelines.</li><li>Familiarity with data governance and data security best practices.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Strong communication and collaboration skills.</li></ol><h3>Bonus Skills</h3>Your application will have a higher chance of standing out, if you have one (or more) of the following skills or experiences. If you, however, have all of the required skills but none of the bonus skills we still encourage you to apply.<ol><li>Familiarity with cloud architectures to support IoT / embedded systems and distributed, low-power devices.</li><li>Experience with IaC tools like Terraform and Terragrunt.</li><li>Has built real-time, human-in-the-loop systems.</li><li>Experience in high-growth startup environments where you must wear many hats.</li><li>Experience with low level TCP/IP development.</li><li>Experience with Protobuf.</li></ol><h3>Application</h3>Although we do not require candidates to submit a cover letter, candidates who wish to have their application stand out are invited to write a cover letter outlining one or all of the following things:<ol><li>Where you have acquired the required skills.</li><li>Which (if any) of the bonus skills do you have and where you acquire them.</li><li>Why you are interested in this role.</li></ol><h3>Benefits</h3>We offer competitive benefits that help employees thrive and grow. These benefits include:<ol><li>Flexible starting hours to reduce commute.</li><li>Health, Dental & Vision (Gold and Platinum plans fully covered).</li><li>Paid Parental Leave.</li><li>Company-paid training to upgrade your skills.</li><li>Free parking and a commuter allowance.</li></ol>Gridware is an equal opportunity employer. We want applicants of diverse backgrounds and hire without regard to color, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.Gridware is currently located in Walnut Creek but will be headquartered in San Francisco starting January 2025.
#J-18808-Ljbffr

Data Engineer Jobs in Walnut Creek, CA

Gcp Data Engineer
December 19, 2024

Gcp Data Engineer
December 13, 2024

Senior Data Engineer
December 11, 2024

Senior Data Engineer
December 9, 2024

Data Engineer Azure
November 24, 2024

Quick filters

Top companies

Data Engineer Jobs in Walnut Creek, CA

Gcp Data EngineerDecember 19, 2024

Gcp Data EngineerDecember 13, 2024

Senior Data EngineerDecember 11, 2024

Senior Data EngineerDecember 9, 2024

Data Engineer AzureNovember 24, 2024