Data Engineering Manager
Menlo Park, CA | Remote, US
Meta
Giving people the power to build community and bring the world closer together- Drive the vision for Business Intelligence (BI) and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
- Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
- Build a high quality BI and Data Warehousing team and design the team to scale.
- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
- Coordinate data warehouse plans across a product vertical.
- Drive the design, building, and launching of new data models and data pipelines in production.
- Oversee development of data resources and support new product launches.
- Drive data quality across the product vertical and related business areas.
- Oversee the delivery of high impact dashboards and data visualizations.
- Define and manage SLA's for all data sets and processes running in production.
- Telecommute from anywhere in the U.S permitted.
- Requires a Master's degree (foreign degree equivalent accepted) in Computer Science, Engineering, Applied Sciences, Mathematics, Statistics, Physics or related field, and 4 years of work experience in job offered or in a data analytics or data warehousing-related occupation.
- Requires 24 months of experience in the following:
- 1. ETL (Extract, Transform, Load)
- 2. Data modeling
- 3. Relational databases (SQL or PL*SQL)
- 4. Python, Perl, XQuery, JavaScript or Java
- 5. Hadoop, Hive, MapReduce, or MPI
- 6. Linux or Unix
- 7. Shell scripting and performance tuning.
$304,043/year to $325,270/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.
Equal Employment Opportunity and Affirmative Action 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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@meta.com.
Tags: Business Intelligence Computer Science Data Analytics Data pipelines Data quality Data warehouse Data Warehousing Engineering ETL Hadoop Java JavaScript Linux Mathematics Perl Physics Pipelines Python RDBMS Shell scripting SQL Statistics VR
Perks/benefits: Career development Equity / stock options Health care Salary bonus
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