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Meta Return to Work - Infrastructure Data Engineer in Topeka, Kansas


How would Meta scale to the next billion users? The Infrastructure Strategy group is responsible for the strategic analysis to support and enable the continued growth critical to Meta’s infrastructure organization.We are looking for a Data Engineer to not only build data pipelines but also extend the next generation of our data tools. As a Data Engineer, you will develop a clear sense of connection with our organization and leadership - as Data Engineering is the eyes through which they see the product.As a member of Infrastructure Strategy Data Engineering, you will belong to a centralized Data Science/Data Engineering team who partners closely with teams in Meta’s Infrastructure organization. Through the consulting-nature of our team, you will contribute to a variety of projects and technologies. The broad range of partners equates to a broad range of projects and deliverables: foundational datasets, performance optimization, measurement, insights, tools and process. This position has a 6-month duration. All candidates are expected to commit to a consecutive 6-month timeframe for successful completion of the program. At the end of the term, those participants who have demonstrated their ability to succeed and make an impact at Meta will be considered for a full-time position. Roles are filled as candidates are identified.This program is open to all candidates who have relevant professional experience and have been out of the workforce for 2 years or longer immediately prior to the start of the program. New graduates with less than 1 year since matriculation, please apply for open positions through the students and grads career page.

Required Skills:

Return to Work - Infrastructure Data Engineer Responsibilities:

  1. Partner with leadership, engineers, program managers and data scientists to understand data needs.

  2. Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems.

  3. Communicate, at scale, through multiple mediums: Presentations, dashboards, company-wide datasets, bots and more.

  4. Educate: Use your data and analytics experience to ‘see what’s missing’, identifying and addressing gaps in existing logging and processes.

  5. Broad range of partners equates to a broad range of projects and deliverables: ML Models, datasets, measurement, processes, services, and tools.

  6. Leverage data and business principles to solve large scale web, mobile and data infrastructure problems.

  7. Build data expertise and own data quality for your areas.

Minimum Qualifications:

Minimum Qualifications:

  1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

  2. 4+ years of professional experience, all occurring after graduation.

  3. 4+ years of coding/development experience.

  4. 4+ years of SQL experience.

  5. 3+ years experience with Data Modeling.

  6. 2+ 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).

  7. Experience analyzing data to discover opportunities and address gaps.

  8. 4+ years experience in custom ETL design, implementation and maintenance.

  9. 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).

Preferred Qualifications:

Preferred Qualifications:

  1. Experience with more than one coding language.

  2. Experience designing and implementing real-time pipelines.

  3. Experience with data quality and validation.

  4. Experience with Airflow.

  5. Experience with SQL performance tuning and e2e process optimization.

  6. Experience with database and query performance tuning.

  7. Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.

  8. Experience with notebook-based Data Science workflow.

  9. MS in CE/EE/CSE or computational sciences.

Industry: Internet

Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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.