Senior Data Engineer - Financial Services Equity Research (Boston)

Lead/Senior Data Engineer - Financial Services Equity Research

Fulltime role with Vacation & Holidays & Company Benefits – Onsite in Boston, MA

Confidential, super progressive INVESTMENT BANKING / FINANCIAL SERVICES firm with offices in 15+ countries.

This super progressive FINANCIAL SERVICES INVESTMENT MANAGEMENT firm is growing their engineering team and is looking for "Senior Data Engineer" that will function almost at a 'Data Architect' or 'Lead Data Engineer'-level and will be responsible for leading end-to-end implementation of projects. Must have 10 or more years of experience and designed and led the end-to-end implementation of projects.

As a member of the Science Research Technology team, this individual will help design, build, and scale data-driven solutions for the Science Analysts, especially in the Equity Investment space.

• Strong in Data Science with programming skills in Python, SQL, and using Snowflake.
• Experience building and maintaining ETL/ELT pipelines and data workflows using tools such as Airflow, Glue or similar orchestration frameworks.
• Proficiency with cloud platforms, especially AWS (S3, Lambda, Batch).
• Experience with one or more modern data architectures (Snowflake, DataBricks, Fabric).
• Strong understanding of data modeling, data warehousing, data governance, and metadata management best practices.
• Familiarity with CI/CD, Git‑based workflows, containerization (Docker), and modern software engineering practices.
• Hands‑on experience developing, deploying, and testing solutions in cloud environments (AWS).
• Strong experience debugging, optimizing, and performance‑tuning high‑volume data pipelines.

REQUIREMENTS

• MUST work for a Financial Services company in the "Equity Investment Research Space" that has helped Data Scientists determine company and stock values and trends. Must have dealt with real-time mission-critical investment trading platforms. This job will be serving Financial Services/Investment Banking/Stock Trading and Equity Valuations.
• Technical degree is required along with 10+ years of experience as a Senior Data Engineer with strong Snowflake, Python data structure, Large Data Set Parallel Processing, and large number/multiple API request handling.
• MUST be an expert dealing with LARGE Data Set Parallel Processing and Multiple API Query Handling.
• Must have acted almost at a "Data Architect or Data Lead-level" and led end-to-end-design and implementation of projects.
• MUST BE a great English communicator with ability to work in a fast-paced, team-oriented environment supporting a business-critical production environment. Excellent collaboration skills with the ability to work with cross‑functional teams including data scientists, researchers, and business partners.
• Must work onsite 4 days a week in either Boston, MA.
• For US-based candidates with the right skillset, we are able to transfer sponsorship of existing H-1B VISAs.

Tech Stack: Snowflake, Python, AWS, Airflow, Glue, RESTful APIs, CI/CD, Java, J2EE, Node.JS, Python, TypeScript, Spring Boot, Azure, WebSockets, Jenkins, Docker, Kubernetes, Microservices, JMeter, MySQL, IDEs (VS Code, IntelliJ, Eclipse), JUnit Tests, JIRA, Claude Code, GitHub Copilot.