About this role
About This Role
We are seeking a high-reaching individual and passionate Associate with technical proficiency to join the Data Strategy & Solutions team. We are a team of seasoned Data Engineers and Platform Engineers building production-grade, cloud-native data products that power BlackRock’s investment decisions
With over USD $11 trillion of assets, we have an outstanding responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial wellbeing. Being a Data Product and Operation specialist at BlackRock means you get the best of both worlds: working for one of the most successful financial companies and working in a team that is towards faster and better decisions for investments
The successful candidate will be instrumental in developing and managing data products derived from web-harvested and unstructured sources. This is an outstanding and unique opportunity offering to contribute to the design and execution of data operations, with a clear trajectory toward leadership.
Hands-On Engineering + Ops
- Someone who is passionate about solving sophisticated business problems through data!
- A hands-on engineer who writes idiomatic Python, SQL and/or Java/Go to build, optimize and harden data pipelines
- Own the end-to-end data operations lifecycle: ingestion, validation, monitoring, alerting, and incident response for large-scale unstructured and web-harvested data and is capable of operating data products end-to-end, from raw acquisition through to quality control, delivery, and issue resolution.
- Enthusiastic about establishing and maintaining standard methodologies for data engineering, focusing on data quality, security, and scalability.
- Excited about collaboration with researchers, technologists, and portfolio managers to ensure data products are well-aligned with investment needs.
- Looking forward to contributing to technical roadmap and team development, with an eye toward growing into a leadership role within 2–3 years.
What We’re Looking For
- 3+ years of experience in data engineering, data product operations, or a similar domain
- 3+ years building ETL/ELT pipelines and advanced SQL in Snowflake and BigQuery.
- Experience ingesting both structured and unstructured (API, web-harvested, document) data at scale, using frameworks like Scrapy.
- Deep expertise architecting data workflows on GCP—BigQuery, Pub/Sub/Dataflow, Cloud Functions—or Snowflake, including performance tuning, cost-optimization
- Expertise with orchestration (Airflow/Composer, Cloud Composer, Prefect), including DAG design, sensor/trigger patterns, and SLA monitoring.
- Ability to resolve issues in data pipelines and debug erroneous outputs efficiently.
- Skills in anomaly detection to identify and resolve data drift or schema changes with an understanding of data life cycle from data acquisition to delivery to data deprecation.
- Demonstrated data-product leadership: defined SLAs, maintained versioned schemas, set usage SLIs/SLAs, and managed stakeholder roadmaps (Agile/Kanban).
- Strong documentation skills, including technical specifications, runbooks, and SOPs.
- Effective communication skills to bridge data engineering and business collaborators.
- Leadership readiness, demonstrated through mentoring, roadmap planning, and team coordination.
- Ambitious candidate, eager to take on responsibility and progress into a leadership position within 2–3 years.
- Proven track record building self-service data platforms or internal APIs consumed by analytics/ML teams.”
- Experience in CI/CD for data pipelines (GitOps, containerization, automated testing).
- Strong debugging skills—comfortable triaging pipeline failures, writing unit/integration tests, and restoring data consistency.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents 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, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.
