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# Senior Data Engineer

- **Company:** The Wellington
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $90,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Computer Programming, Continuous Integration, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Warehousing, Software Debugging, Python (Programming Language), Meta-Data Management, Performance Tuning, Software Engineering, SQL Databases, Cloud Platform System, Snowflake, Containerization, Git Flow, Kubernetes, Data Pipelines, Docker, Databricks
- **Published:** November 2, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-boston-ma--f8c80fd4-d66b-4db9-995a-32bb6de78429

## About the Role

Risk, Investment Management, Capital Markets, Team Player, Mutual Funds, Asset Management, Fixed Income Investments, Equity Securities, Stock Market, Technical Leadership, * Strong experience in Data Science

 * Strong programming skills in Python and experience with SQL.
 * 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 preferred).
 * Strong experience debugging, optimizing, and performance-tuning high-volume data pipelines.
 * Financial-services data domain expertise is preferred.
 * Excellent communication and collaboration skills; ability to work with cross-functional teams including data scientists, researchers, and business partners.
 * Ability to work in Agile environments and deliver in fast-paced, mission-critical settings.
 * Proactive problem solver who can independently drive solutions end-to-end.
 * 5+ years of experience

## Description

As part of continued growth, a new opportunity has arisen for a Senior Data Engineer. 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 space.