Data Engineer - AWS Native Data Platforms

About the role

BlackRock is looking for a Data Engineer to join its Information Security organization, supporting the design, build and operation of a cloud-native data platform that powers critical technology, security and operational use cases across the firm. The team builds reliable, secure and observable data pipelines in a highly regulated environment, working with technology, operations and information security partners.

Key responsibilities

• Design, build and maintain AWS-native data pipelines for batch and event-driven workloads, focusing on reliability, scalability and security.
• Develop and operate data workflows with Apache Airflow, using Python and SQL for transformation and data quality logic.
• Implement data transformations and models with modern analytics engineering practices (e.g. dbt-style patterns, tested transformations, incremental processing).
• Integrate data from cloud services, internal platforms, APIs and security/operational telemetry.
• Partner with Information Security, Risk and Operations to turn business and control requirements into durable data solutions.
• Embed data quality, lineage and observability using testing frameworks and monitoring standards.
• Operate within BlackRock's cloud security and governance standards, including IAM, encryption, logging and secrets management.
• Contribute to CI/CD pipelines, infrastructure-as-code patterns and standardized platform tooling.
• Document data products, pipelines and operating procedures, and take part in design reviews, code reviews and incident analysis.

Required profile

• Experience as a Data Engineer, Analytics Engineer or similar role building production data pipelines.
• Strong hands-on experience with AWS-native data services in a regulated or enterprise environment.
• Proficiency in Python and SQL, with readable, testable and maintainable code.
• Experience with workflow orchestration (Airflow or equivalent) and solid understanding of data modeling, incremental processing and performance optimization.
• Familiarity with data quality, monitoring and operational support for production systems.
• Experience collaborating with cross-functional partners such as security, operations, product or risk teams.
• Nice to have: exposure to security, risk or compliance data domains, OpenSearch/Elasticsearch, metrics or log-analytics platforms, and experience building platforms for executive reporting or regulatory oversight.

Required skills

• AWS: S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch
• Apache Airflow, Python, SQL
• Analytics-engineering patterns (dbt-like), data quality tools (Great Expectations-style)
• CI/CD, Git, infrastructure-as-code (Terraform or equivalent)

What we offer

• Retirement plan, tuition reimbursement and comprehensive healthcare.
• Support for working parents and Flexible Time Off.
• Hybrid model: at least 4 days in the office per week, with 1 day flexible from home.