BlackRock is seeking a Data Engineer, Vice President, to build resilient systems that power its global post-trade operations. The role involves developing and delivering enterprise-scale software with a focus on reliability, performance, and clean engineering practices. The ideal candidate will have 8+ years of experience building production data systems, with a strong background in data modeling and data pipeline engineering, and experience with Snowflake, Redis, and Kafka.
Requirements
- B.S./M.S. in Computer Science, Engineering, or related field (or equivalent practical experience)
- 8+ years of experience building production data systems, with demonstrated ownership of data modeling and data pipeline engineering
- Strong SQL skills (advanced querying, query plans, performance tuning) with hands-on experience in Snowflake and/or Microsoft SQL Server
- Proven experience with data modeling for analytics (dimensional modeling / star schemas, conformed dimensions, slowly changing dimensions) and translating business concepts into robust schemas
- Hands-on experience crafting and deploying ELT/ETL pipelines, including batch and near-real-time patterns
- Proficiency in at least one general-purpose language used for data engineering (e.g., Python, Java, or Scala) for automation, orchestration, and integrations
- Working knowledge of modern data engineering practices: testing for transformations, CI/CD, environment promotion, and operational monitoring
Benefits
- Strong retirement plan
- Tuition reimbursement
- Comprehensive healthcare
- Support for working parents
- Flexible Time Off (FTO)
- Generous Parental Leave
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