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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Blackrock, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Application Layers, Microsoft Azure, Cloud Computing, Software Quality, Databases, Data Validation, Python (Programming Language), PostgreSQL, Software Engineering, SQL Databases, Strategies of Testing, Management of Software Versions, Feature Store, Cloud Platform System, Snowflake, AI Coding Agents, Containerization, Kubernetes, Infrastructure Automation Frameworks, Data Management, Machine Learning Operations, Terraform, Software Version Control, Data Pipelines, Docker - **Published:** October 2, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2995481966-2 ## About the Role * Proven experience building and operating scalable software systems for data processing workflows and platforms, with deep expertise in Python and SQL across databases such as Snowflake and Postgres. * Hands-on experience with modern software engineering practices, including version control (Git), CI/CD pipelines, automated testing frameworks, and containerisation and orchestration (Docker, Kubernetes). * Experience working in cloud environments (AWS or Azure), including infrastructure provisioning and automation using Infrastructure as Code (e.g., Terraform). * Demonstrated ability to design production-grade systems that balance performance, scalability, reliability, security, and maintainability. * Experience enabling or supporting advanced analytics and AI/ML use cases in production environments. * A rigorous, data-driven mindset - comfortable using analysis, benchmarking, and experimentation to guide technical decisions and architectural trade-offs. * Strong understanding of data validation, testing strategies, and code quality practices, with confidence applying diverse code and data testing techniques across data and application layers. * Ability to operate autonomously and drive technical solution design end-to-end, taking ownership of outcomes. * Experience collaborating effectively across engineering, data science, product, and design teams to deliver high-impact solutions. * Excellent written and verbal communication skills, with the ability to influence stakeholders at all levels and translate complex technical concepts into clear, business-relevant language. * A proactive, curious, and resilient mindset - motivated to explore new technologies, tackle ambiguous problems, and continuously improve systems and ways of working. Desirable skills include: * Experience with AI-related technologies and products; familiarity with using AI coding assistants. * Experience working with financial market data, investment analytics, or private markets datasets. * Experience designing and building data platformssoftware and/or data platforms in regulated or financial services environments. * Experience supporting ML lifecycle management (model versioning, experiment tracking, model deployment pipelines); familiarity with tools such as MLflow, feature stores, or model serving frameworks. * Experience productionising statistical or quantitative models. ## Description * Architect and build scalable, reliable data pipelines and platformssoftware solutions for data products, ensuring performance, quality, and long-term sustainability. * Own data solutions end-to-end - from translating business objectives into technical designs through implementation, deployment, and production support. * Design and implement data workflows that are reproducible, testable, and scientifically rigorous, embedding validation frameworks, monitoring, lineage, and observability into every stage. * Enable advanced analytics and AI/ML use cases by building software solutions infrastructure that supports experimentation, versioning, and production-grade pipeline and model deployment. * Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams to align engineering effort with business impact. * Act as a technical authority within the team, elevating engineering standards and driving best practices in data management, governance, and cloud-native development. * Engage senior stakeholders, clearly communicating complex technical trade-offs and recommendations in business-relevant terms. * Collaborate cross-functionally with engineers, data scientists, analysts, and product leaders to deliver high-impact solutions for institutional investors and private markets clients. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)