The Associate Data Engineer (Python) will join a dynamic team responsible for maintaining and enhancing BlackRock’s extensive data platform supporting SMA operations. You’ll design, build, and manage high-performance data pipelines, APIs, and distributed systems that fuel advanced analytics and financial decision-making. This is a hands-on engineering role ideal for problem solvers passionate about data architecture, scalability, and modern software development practices.
- Company: BlackRock
- Location: Princeton, NJ; New York, NY; Sausalito, CA (Hybrid)
- Type: Full-time
- Salary: Competitive (based on experience)
About BlackRock SMA Solutions
BlackRock SMA Solutions is a rapidly growing quantitative, multi-asset investment management business specializing in customized, tax-efficient portfolios. Our mission is to place clients’ interests at the core of every decision, optimizing performance while aligning investments with their unique values. As part of BlackRock — the world’s largest asset management firm — we leverage data, analytics, and advanced technology to create innovative financial solutions that empower investors globally.
- Develop, enhance, and maintain large-scale data pipelines and orchestration systems.
- Design and support data-centric applications for financial analytics and reporting.
- Integrate data feeds from multiple internal and external systems with high accuracy.
- Ensure data quality, completeness, and timeliness through validation and monitoring tools.
- Troubleshoot and resolve production issues in live environments efficiently.
- Collaborate with cross-functional teams to design scalable, maintainable systems.
- Stay current with emerging data technologies and contribute to open-source communities.
- Bachelor’s degree in Computer Science or related field (or equivalent practical experience).
- 5+ years of experience as a full-stack or data engineer in financial or tech environments.
- Strong programming skills in Python, with experience in Java or Go preferred.
- Proficiency in SQL and relational databases (PostgreSQL, SQL Server, Sybase, etc.).
- Experience designing and implementing ETL pipelines and data warehouse solutions.
- Knowledge of cloud platforms (AWS, Azure, or GCP) and containerization (Docker/Kubernetes).
- Familiarity with Airflow, Spark, Pandas, Polars, or similar data frameworks.
- Excellent communication, teamwork, and problem-solving skills.
- Experience with RESTful APIs, GraphQL, or gRPC for data services.
- Hands-on familiarity with data storage technologies (Snowflake, BigQuery, Redshift, Cassandra, DynamoDB).
- Background in statistical or financial data analysis.
- Experience with job scheduling tools like Cron or Airflow.
Why Join BlackRock?
At BlackRock, technology and innovation are at the heart of everything we do. As part of our global engineering community, you’ll work alongside world-class technologists in an environment that promotes collaboration, creativity, and continuous learning. From cutting-edge data engineering to financial modeling, your work will directly impact millions of investors worldwide.
- Access to curated learning opportunities and tech-specific career paths.
- Global exposure and collaboration with experts and leaders across disciplines.
- Diverse, inclusive, and innovation-driven culture recognized worldwide.
- Comprehensive benefits and professional growth opportunities.
