Data Engineer

24 hours ago

Carson City, Nevada, United States META Full time
About the Role

We are seeking a highly skilled Data Engineer to join our Product Analytics team at Meta. As a Data Engineer, you will play a critical role in designing and implementing large-scale data architectures, working closely with cross-functional teams to drive business growth and user satisfaction.

Key Responsibilities
  • Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems.
  • Create and contribute to frameworks that improve the efficacy of logging data, working with data infrastructure to triage issues and resolve.
  • 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.
  • 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.
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
  • Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured and unstructured data sources.
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts.
  • 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.
  • Mentor team members by giving/receiving actionable feedback.
Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field, or equivalent practical experience.
  • 5+ years experience in the data warehouse space.
  • 5+ years experience in custom ETL design, implementation, and maintenance.
  • 5+ years experience with object-oriented programming languages.
  • 7+ years experience with schema design and dimensional data modeling.
  • 7+ years experience in writing SQL statements.
  • Experience analyzing data to identify gaps and inconsistencies.
  • Experience managing and communicating data warehouse plans to internal clients.
Preferred Qualifications
  • Master's or Ph.D. degree in a STEM field.
  • Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy.
  • Experience working with terabyte to petabyte scale data.
  • Experience influencing product decisions with data.
Compensation and Benefits

Competitive salary range: $173,000/year to $242,000/year + bonus + equity + benefits.

About Meta

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-

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