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 Enginee r'-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. #J-18808-Ljbffr Confidential Company