Senior Data Engineer

About Wellington Management

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.

The Role

Senior Data Engineer

Tracing our roots to 1928, Wellington Management is one of the world\'s largest independent investment management firms with over US$1.3 trillion in assets under management, serving institutional clients and mutual fund sponsors in more than 50 countries. Our innovative investment solutions are built on proprietary, independent research and span equity, fixed income, multi-asset, and alternative strategies. As a private partnership, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce and fostering an open, collaborative culture of inclusivity.

At Wellington Management, our appetite for technology is insatiable. We aim to build and evolve an innovative, industry-leading technology platform to answer fascinating questions about the future of companies, economies, financial markets, and industries. This position is within our Information Technology team.

Responsibilities

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.

Qualifications

• 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

Compensation and Benefits

Base salary range: USD 90,000 - 180,000. This range takes into account factors such as skill sets, role, experience, certifications, and education. This range is an estimate and further details will be shared during recruitment. Base salary is one component of total compensation; other rewards may include a discretionary corporate bonus and/or incentives, if eligible. We offer a comprehensive benefits package including retirement plan, health and wellbeing benefits, dental, vision, pharmacy coverage, health savings account, flexible spending accounts, commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement, and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time).

We believe in-person interactions energize our community. Our employees work from our offices 4 days a week with the flexibility to work remotely 1 day a week.

Equal Opportunity

As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability, medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you require an accommodation to apply, please email View email address on click.appcast.io.