Data Engineer
Menlo Park, CA | Remote, US
- Design, model, and implement data warehousing activities to deliver the data foundation that drives impact through informed decision making.
- Design, build and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights visually in a meaningful way.
- Define and manage SLA for all data sets in allocated areas of ownership.
- Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve.
- Determine 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 ownership.
- Solve challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources.
- Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
- Influence product and cross-functional teams to identify data opportunities to drive impact.
- Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
- Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
- Telecommute from anywhere in the U.S. permitted.
- Requires a Master’s degree in Computer Science, Engineering, Software Engineering, Mathematics, Physics, or related field and three years of work experience in job offered or in a computer-related occupation. Requires three years of experience in the following:
- Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
- Writing SQL statements
- Analyzing large volumes of data to identify deliverables or to provide data driven insights, gaps, and inconsistencies
- Data warehousing architecture and plans
- Informatica, Talend, Pentaho, dimensional data modeling, or schema design.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Tags: Architecture Computer Science Data quality Data Warehousing Engineering ETL Informatica Mathematics Pentaho Physics Pipelines Privacy Security SQL Talend Unstructured data VR
Perks/benefits: Career development Equity Health care Salary bonus
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