Job Description

About this role

Data Engineer – AWS Native Data Platforms

About the Role

We are looking for a Data Engineerto join BlackRock’s Technology & Operations organization, supporting the design, build, and operation ofour Cloud‑nativedata platformthat power critical technology, security, and operational use cases across the firm.

This role sits within a team responsible for building reliable, secure, and observable data pipelinesin a highly regulated environment. You will work closely with technology, operations, and information security partners to deliver data products that enable transparency, automation, andrisk‑informeddecision making at scale.

The ideal candidate is an engineer at heart—comfortable workingend‑to‑endacross ingestion, transformation, orchestration, and governance—who values clean design, strong documentation, and operational excellence.

WhatYou’llDo

• Design, build, andmaintainAWS‑nativedata pipelinesfor batch andevent‑drivenworkloads, with a focus on reliability, scalability, and security.

• Develop andoperatedata workflows using Apache Airflowfor orchestration and Pythonand SQLfor transformation and data quality logic.

• Implement data transformations and models using modern analytics engineering practices(e.g.,dbt‑stylepatterns, tested transformations, incremental processing).

• Integrate data from a variety of enterprise sources, including cloud services, internal platforms, APIs, and security/operational telemetry.

• Partner with Information Security, Risk, and Operations teams to translate business and control requirements into durable data solutions.

• Embed data quality, lineage, and observabilityinto pipelines using testing frameworks and monitoring standards.

• Operate within BlackRock’s cloud security and governance standards, including IAM, encryption, logging, andsecretsmanagement.

• Contribute to CI/CD pipelines,infrastructure‑as‑codepatterns, and standardized platform tooling.

• Document data products, pipelines, and operating procedures to support transparency andlong‑termmaintainability.

• Participate in design reviews, code reviews, and incident/post‑incidentanalysis to continuously improve platform resilience.

Core TechnologiesYou’llWork With

• AWS S3, IAM, Glue, Lambda, Step Functions, CloudWatch, Secrets Manager, OpenSearch, and related native services

• Orchestration Apache Airflow

• Languages Python, SQL

• Data Modeling & TransformationAnalytics‑engineeringpatterns (e.g.,dbt‑likeworkflows)

• Data Quality & Testing Schema and data validation frameworks (e.g., GreatExpectations‑styleapproaches)

• Infrastructure & Delivery CI/CD,Git‑basedworkflows,infrastructure‑as‑code(Terraform or equivalent)

• Security & Governance Encryption, access controls, audit logging, platform security baselines

WhatWe’reLooking For

• 7 years+ relevant experience as a Data Engineer, Analytics Engineer, or similar role building production data pipelines.

• Stronghands‑onexperience with AWS‑nativedata servicesin a regulated or enterprise environment.

• Proficiencyin Python and SQL, with an emphasis on readable, testable, and maintainable code.

• Experience with workflow orchestration(Airflow or equivalent).

• Solid understanding of data modeling, incremental processing, and performance optimization.

• Familiarity with data quality, monitoring, and operational supportforproductiondata systems.

• Experience collaborating withcross‑functionalpartners (e.g., security, operations, product, or risk teams).

• A disciplined approach to documentation, change management, and incident response.

Nice to Have

• Experience supporting security, risk, orcompliancedata domains

• Exposure to OpenSearch / Elasticsearch, metrics pipelines, orlog‑analyticsplatforms.

• Familiarity with cloud security controls, IAM design, andsecretsmanagement.

• Experience building data platforms that supportexecutive‑levelreporting or regulatory oversight.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

About BlackRock

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock

BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.