Data Engineering Manager
Menlo Park, CA | Remote, US
- 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 US permitted.
- Employer will accept a Master's degree 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. Experience must include 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.
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. Apply
Job Profile
Telecommute from anywhere in the U.S. permitted
Benefits/PerksBenefits Bonus Equity Long term conditions Mental health conditions Pregnancy-related support Religious beliefs
Tasks- Build and scale BI team
- Collaborate with cross functional teams
- Coordinate data warehouse plans
- Define operational processes
- Deliver dashboards and visualizations
- Develop data models and pipelines
- Drive BI and Data Warehousing vision
- Ensure data quality
- Manage SLAs
- Project management
Business Intelligence Computer Science Databases Data Modeling Data Pipelines Data Warehousing Design Engineering ETL Hadoop Hive Java Javascript Linux MapReduce Modeling MPI Perl Project Management Python Recruiting Relational databases Shell scripting SQL Statistics UNIX Web XQuery
Experience4 years
EducationAnalytics Applied Sciences Business Business Intelligence Computer Science Data Analytics Design Engineering Management Master Master's degree Master's in Computer Science Mathematics Physics Related Field Statistics Technology
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9