Summary:

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click “Apply to Job” online on this web page.

Required Skills:

Data Engineer Responsibilities:

Mentor team members by offering guidance and actionable feedback to foster their professional development.

Develop and own data architecture for multiple large-scale projects, prioritizing Financial Integrity (FI) considerations.

Enhance logging data frameworks and troubleshoot data infrastructure issues to ensure accurate financial data.

Collaborate with cross-functional teams to understand data needs related to FI and visually represent key insights.

Manage Service Level Agreements (SLAs) for data sets in allocated areas, emphasizing data integrity and security.

Implement security models and privacy safeguards to meet requirements, address data quality issues, and evolve governance processes.

Design and deploy sophisticated data models and visualizations specifically tailored to support FI initiatives and drive impact.

Solve complex data integration problems within the context of maintaining FI, utilizing optimal ETL patterns, frameworks, and query techniques.

Optimize existing production processes and algorithms with a focus on enhancing FI controls.

Influence product teams and collaborate with stakeholders to identify data opportunities that drive FI impact.

Streamline pipelines, dashboards, frameworks, and systems to support efficient development and monitoring of FI-related data artifacts.

Minimum Qualifications:

Minimum Qualifications:

Requires a Bachelor's degree (or foreign equivalent) in Information Systems, Computer Science, or a related field and 36 months of progressive, post-baccalaureate experience in the job offered or in a related occupation. Requires 36 months of experience involving the following:

Data Modeling

ETL (Extract, Transform, Load)

SQL and Database Management

Big Data

Data Warehousing

Data Integration

Data Pipeline Orchestration

Streaming Data

Programming

Cloud Platforms

Data Versioning

Data Transformation and Cleansing

Project Management

Public Compensation:

$224,028/year to $279,400/year + bonus + equity + benefits

Industry: Internet

Equal 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.

Data EngineerJob ID 2024-5134Category Information TechnologyType Full-TimeWorkplace policy HybridOverviewThe Data Engineer will be responsible for designing, developing, and maintaining our data infrastructure, including data warehouse solutions, ETL processes, data quality initiatives, and adhere to CNB's data governance practices. You'll work closely with our data analysts, data governance, and other stakeholders to ensure that our data pipelines are efficient, scalable, and reliable while maintaining high standards of data quality and governance. You will also play a key role in modernizing our data warehouse operations to align with industry best practices and emerging technologies, in this case, hybrid on-prem and Azure platform ecosystem. This position is responsible for gathering and processing raw data (unstructured/structured), and translating analysis being able to support data processing workflows. Principal Duties & Responsibilities: Possess problem-solving, analytical, ability to program in multiple languages (C/C++, S (e.g. as implemented in R), Python, MATLAB and/oJava, ETL Processes, and database management fundamentals. Lead & support the design, develop, and maintain data warehouse solutions to support reporting and analytics. Develop and maintain ETL processes to extract, transform, and load data from various sources into the data warehouse, both on-prem and Azure ecosystem. Optimize and tune data pipelines for performance, scalability, and data quality. Develop and implement data quality initiatives to ensure data integrity and accuracy. Modernize data warehouse operations by adopting industry best practices and emerging technologies. Perform data analysis required to troubleshoot and assist in resolving data issues. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. Understand and monitor the regulatory and security requirements for data related to the industry in which the organization operates; ensuring compliance and proper protection occurs Lead management reviews and opportunity assessment processes that identify improvement opportunities related to: process efficiency, cost savings, business model expansion, and competitive advantages. Oversee the end-to-end management of the organization's data assets (data lifecycle, information lifecycle) related to dependencies with the enterprise data repositories. Ensure data assets in the organization are managed in a secure manner, adhering to security and privacy requirements. Qualifications 2-3 years experience with data management, ETL concepts and processes, Data Warehouse and Data Marts concepts. 2-3 years experience problem solving pertaining to data and data movement. Strategic planning and initiative designs. Knowledge of data requirements in the Finance sector. Experience supporting strategic initiatives and projects, implementing successful strategies. The ability to recognize structural issues within the organization, functional interdependencies, and cross-silo redundancies. Experience working with senior management in strategy development and value creation in a Corporate environment. The ability to assimilate and correlate disconnected documentation and drawings, and articulate their collective relevance to the organization and to high-priority business issues. A broad, enterprise-wide view of the business and varying degrees of appreciation for strategy, processes and capabilities, enabling technologies, and governance. The ability to act as liaison conveying information needs of the business to IT/Ops and data constraints to the business; applies equal conveyance regarding business strategy and IT strategy, business processes and work flow automation, business initiatives and IT initiatives, and benefit realization and service delivery. Proven experience in Data Management planning, organization and development. Knowledge and experience of DAMA DMBOK and the different disciplines of Data Management. Education Bachelor's Degree in technical or relevant field, or equivalent education and related training. Special Instructions to Candidates Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities. Please view Equal Employment Opportunity Posters provided by OFCCP here. The contractor 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. However, 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 contractor's legal duty to furnish information. 41 CFR 60-1.35(c) Reasonable accommodation may be made to assist individuals with disabilities to complete the online application process. Please contact our Human Resources Department at 305-577-7680 or by e-mail at employment@citynational.com.

We are Lennar Lennar is one of the nation's leading homebuilders, dedicated to making an impact and creating an extraordinary experience for their Homeowners, Communities, and Associates by building quality homes and providing exceptional customer service, giving back to the communities in which we work and live in, and fostering a culture of opportunity and growth for our Associates throughout their career. Lennar has been recognized as a Fortune 500 company and consistently ranked among the top homebuilders in the United States. Join a Company that Empowers you to Build your Future Lennar is seeking a Data Engineer to support our marketing and digital analytics initiatives. The ideal candidate is an experienced, strategic data engineer with deep experience in data ingestion, data modeling, and monitoring/alerting. Theyre excited about the opportunity to build a world-class data infrastructure and enabling analysts. Joining Lennar means becoming part of a dynamic team dedicated to pushing the boundaries of technology. We are bringing modern data and technology to in the real estate and home building space to change how we build and sell homes. If you are passionate about data engineering, data-driven solutions, and creating innovative solutions to business problems, we would love to hear from you! Apply now to join us on this exciting journey. Your Responsibilities on the Team <ul> <li>Ingest, analyze, and organize raw data into easy-to-use data sets for analysts, data scientists, and machine learners </li> <li>Build data systems and pipelines leveraging dbt, Snowflake, and Prefect </li> <li>Conduct complex data analysis and report on results </li><li> Prepare data for prescriptive and predictive modeling </li> <li>Build algorithms and prototypes </li> <li>Combine raw information from different sources </li> <li>Explore ways to enhance data quality and reliability </li> <li>Identify opportunities for data acquisition </li> <li>Collaborate with data scientists and architects on several projects </li> </ul>Requirements <ul> <li>Bachelors degree or higher in Statistics, Economics, Math, Computer Science, or a related analytical field with equivalent experience. </li> <li>5+ years in Data Engineering </li> <li>Live in Python and SQL </li> <li>Excellent problem-solving and analytical skills </li> <li>Proactive, not reactive, with the ability to work independently in a fast-paced environment </li> <li>Ability to take in loose requirements and produce scalable and reliable data infrastructure </li><li> Confident in learning new tools, technologies, and methodologies </li> <li>Expertise with DBT, Snowflake, Funnel, and Prefect </li> <li>Designs, builds, and monitors key data pipelines from end to end </li></ul>This description outlines the basic responsibilities and requirements for the position noted. This is not a comprehensive listing of all job duties of the Associates. Duties, responsibilities and activities may change at any time with or without notice. The *median base compensation for this position is subject to adjustment based on business-related factors including employee qualifications, geographic location, and operational considerations. Note: *The median amount may be greater or less than the average salary. This position may be eligible for performance-based bonuses as determined in the Companys sole discretion. This position will be eligible for the described benefits listed in the above section. This information is intended to be a general overview and may be modified by the Company due to factors affecting the business. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Life at Lennar At Lennar, we are committed to fostering a supportive and enriching environment for our Associates, offering a comprehensive array of benefits designed to enhance their well-being and professional growth. Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision coverage, ensuring their health needs are well taken care of. Our 401(k) Retirement Plan, complete with a $1 for $1 Company Match up to 5%, helps secure their financial future, while Paid Parental Leave and an Associate Assistance Plan provide essential support during life's critical moments. To further support our Associates, we provide an Education Assistance Program and up to $30,000 in Adoption Assistance, underscoring our commitment to their diverse needs and aspirations. From the moment of hire, they can enjoy up to three weeks of vacation annually, alongside generous Holiday, Sick Leave, and Personal Day policies. Additionally, we offer a New Hire Referral Bonus Program, significant Home Purchase Discounts, and unique opportunities such as the Everyones Included Day. At Lennar, we believe in investing in our Associates, empowering them to thrive both personally and professionally. Lennar Associates will have access to these benefits as outlined by Lennars policies and applicable plan terms. Visit Lennartotalrewards.com to view our suite of benefits. Join the fun and follow us on social media to see what's happening at our company, and don't forget to connect with us on Lennar: Overview | LinkedIn https://www.linkedin.com/company/lennar/> for the latest job opportunities. Lennar is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws.

Job Title: Data Engineer (Remote - New York) Location: Remote (Based in New York) Salary: $130,000 - $180,000 About Us We are a leading analytics firm dedicated to transforming data into meaningful insights. Our remote-first team, based out of New York, is looking for a talented Data Engineer to help us scale our data infrastructure. Role Overview As a Data Engineer, you will play a crucial role in building and maintaining data pipelines and ensuring data is accessible and reliable for analysis. Key Responsibilities <ul> <li>Develop and maintain robust data pipelines and architectures. </li><li>Implement data ingestion and processing frameworks. </li><li>Work with stakeholders to understand data requirements and deliver solutions. </li><li>Monitor and troubleshoot data pipeline performance. </li></ul> Requirements <ul> <li>4+ years of experience in data engineering or related field. </li><li>Proficiency in SQL and experience with data processing frameworks (Apache Airflow, Apache NiFi). </li><li>Strong understanding of data modeling and warehousing concepts. </li><li>Experience with cloud-based data services. </li></ul> What We Offer <ul> <li>Competitive salary of $130,000 - $180,000. </li><li>Fully remote work environment with flexible hours. </li><li>Health benefits, 401(k) matching, and generous PTO. </li></ul> How to Apply Join our mission to harness the power of data! Submit your application today!

Job Title: Senior Data Engineer (Remote - California) Location: Remote (Based in California) Salary: $150,000 - $200,000 About Us We are an innovative technology company revolutionizing data solutions. Our mission is to empower organizations with actionable insights. We are seeking a Senior Data Engineer to join our remote team in California. Role Overview As a Senior Data Engineer, you will design and implement data pipelines, manage ETL processes, and ensure the integrity of our data architecture. Your expertise will drive data initiatives that enhance business intelligence. Key Responsibilities <ul> <li>Design and develop scalable data pipelines using tools like Apache Spark and Kafka. </li><li>Optimize ETL processes for performance and reliability. </li><li>Collaborate with data scientists and analysts to support data-driven decision-making. </li><li>Maintain and improve data quality and governance standards. </li></ul> Requirements <ul> <li>5+ years of experience in data engineering. </li><li>Strong proficiency in SQL and programming languages (Python, Java). </li><li>Experience with cloud platforms (AWS, GCP, or Azure). </li><li>Familiarity with data warehousing solutions (Snowflake, Redshift). </li></ul> What We Offer <ul> <li>Fully remote position with a salary of $150,000 - $200,000. </li><li>Comprehensive benefits package, including health, dental, vision, and 401(k). </li><li>Opportunities for professional growth and development. </li> </ul> How to Apply If you're ready to make a significant impact with your data skills, submit your resume and cover letter today!

100% REMOTE Lead Data Product Engineer / Senior Data Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $165,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a Principal Data Product Engineer / Staff Data Engineer! Why join us? As a Senior Data Product Engineer / Principal Data Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $165k and $235k, depending on experience! </li><li> $12-13K in stock! </li><li> Bonus of 15-20%! </li><li> Work from home / work remote 100%! </li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution! </li><li> Comprehensive medical, dental, vision and life insurance! </li><li> 17 paid holidays per year, including 3 floating holidays! </li><li> Annual Paid Time Off (PTO), with separate sick days! </li><li> 12 weeks paid Parental Leave! </li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.! </li><li> Tuition reimbursement! </li><li> Ability to attend conferences! </li><li> A MacBook Pro and accompanying hardware to do great work! </li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! </li><li> Generous company discounts! </li><li> Eligible for donation matching to over 1.5 million nonprofit organization! </li></ul>Job Details As a Staff Data Product Engineer / Sr. Data Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Engineering, Operations Research, or other quantitative field </li><li> 7+ years of experience as a Data Engineer writing code to extract, process and store data within different types of data stores (Snowflake, Postgres, DynamoDB, Kafka, Graph databases) </li><li> 2+ years of leading a cross-functional team to deliver data projects, including 1+ year of experience as a reporting manager of a small team </li><li> Strong programming skills in Python and understanding of core computer science principles </li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks </li><li> Knowledge of relational and dimensional data modeling concepts to build data products </li><li> Experience with data quality checks, data monitoring solutions </li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools </li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes </li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms. </li><li> Experience with developing data APIs, Microservices and event driven systems to integrate data products </li></ul>Preferred: <ul><li> Experience in assessing and implementing new data tools to enhance the data engineering stack </li><li> Knowledge of data mesh concepts </li><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science </li><li> Knowledge of vector databases, knowledge graphs, and other approaches for organizing & storing information </li><li> Familiarity with Snowflake, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Data Cataloging tools, Data Observability tools and Data Governance tools </li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Data Engineer Jobs in Doral, FL

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Lead Data Engineer
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Data Engineer Jobs in Doral, FL

Senior Data EngineerOctober 17, 2024

Data EngineerOctober 16, 2024

Data EngineerOctober 13, 2024

Data EngineerOctober 11, 2024

Senior Data EngineerOctober 7, 2024

Data Engineer Remote New YorkOctober 6, 2024

Senior Data Engineer Remote CaliforniaOctober 6, 2024

Lead Data EngineerOctober 5, 2024