[Remote] Data Engineering Manager
Note: The job is a remote job and is open to candidates in USA. MediaRadar, Inc. is a company that equips marketing, sales, and analytics leaders with essential intelligence through their AI-enabled platform. They are seeking a Data Engineering Manager to oversee the data delivery lifecycle, manage a distributed team, and ensure high-quality data integration across various systems.
Responsibilities
- End-to-End Delivery Management: Take full accountability for the project lifecycle, ensuring ETL solutions are delivered on time, within scope, and meet the high-quality standards required for our millions of daily data points
- Team Leadership & Coordination: Manage and mentor a distributed team of developers, providing clear technical direction, resolving blockers, and conducting constructive code reviews
- Deep System Integration: Proactively explore and master all systems upstream and downstream of your area. You will be expected to understand how our data interacts with client platforms to ensure smooth end-to-end integration
- Operational Excellence: Lead the development of testing frameworks and QA plans to guarantee data integrity across our modern cloud stack (Azure, AWS, Databricks)
- Continuous Innovation: Constantly seek out better solutions and improved ways of working. Actively participate in Agile environments, optimizing sprint cycles and introducing best practices for CI/CD and system reliability
- Domain Mastery: Rapidly learn the nuances of the Advertising and Market Research domain to better translate business needs into robust technical requirements
Skills
- 8+ years in data engineering or ETL development, with at least 4-5 years in a lead or management capacity
- Expert-level understanding of ETL technologies, ideally a deep understanding of SQL Server, Postgres, and the Databricks ecosystem (Delta Lake, Unity Catalog, Spark SQL) and Python/PySpark
- A strong background in SQL and RDBMS, with the ability to troubleshoot complex production issues and perform root-cause analysis
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Previous experience in Advertising, Media, or Market Research
- Familiarity with containerization (Docker, Kubernetes) and Azure DevOps pipelines
Benefits
- Medical, Dental & Vision Insurance
- 401k with Company Match
- Flexible PTO
- Commuter Benefits
- Gym Discounts
- Summer Fridays
Company Overview
Company H1B Sponsorship