Data Engineer
Meta provided pay range
This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Data Engineer Responsibilities:
- Partner with leadership, engineers, program managers and data scientists to understand data needs
- Act as a subject matter expert in a specific domain or class of data engineering challenges, leading by example and mentoring others.
- Influence short- and long-term strategy with cross-functional teams to drive impact.
- Apply proven expertise and build high-performance scalable data warehouses
- Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
- Securely source external data from numerous partners
- Intelligently design data models for optimal storage and retrieval
- Deploy inclusive data quality checks to ensure high quality of data
- Optimize existing pipelines and maintain of all domain-related data pipelines
- Ownership of the end-to-end data engineering component of the solution
- Support on-call shift as needed to support the team
- Design and develop new systems in partnership with software engineers to enable quick and easy consumption of data
- Actively mentor and identify rising talent, and serve as a positive leader across the scope of the organization.
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 7+ years of Python or other modern programming language development experience.
- 7+ years of SQL and relational databases experience
- 7+ years experience in custom ETL design, implementation and maintenance.
- 5+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, digdag.io, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
- 5+ years experience with Data Modeling.
- Experience working with cloud or on-prem Big Data/MPP analytics platform(i.e. Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar).
- 5+ years experience working with enterprise DE tools and experience learning in-house DE tools
- BS/MS in Computer Science or a related technical field
- Experience with more than one coding language.
- Designing and implementing real-time pipelines.
- Experience with data quality and validation.
- Experience with SQL performance tuning and e2e process optimization.
- Experience with anomaly/outlier detection.
- Experience with notebook-based Data Science workflow.
- Experience with Airflow.
- Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps 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. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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.
$173,000/year to $242,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
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Seniority level
Not Applicable -
Employment type
Full-time -
Job function
Information Technology -
Industries
Technology, Information and Internet
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