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Senior Data Engineer

Pay
USD 90,000–180,000/year · BaseAnnual period assumed — pay source
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is: USD 90,000 - 180,000 This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is: USD 90,000 - 180,000This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process. Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and 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)
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Tracing our roots to 1928, we are one of the world’s largest independent investment management firms.

Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies.

  • Design, build, and scale data-driven solutions for Science Analysts

  • Build and maintain ETL/ELT pipelines and data workflows

  • Debug, optimize, and performance-tune high-volume data pipelines

From the employer’s posting
Tracing our roots to 1928, we are one of the world’s largest independent investment management firms. With over US$1.3 trillion in assets under management, we serve as trusted advisers to institutional clients and mutual fund sponsors in more than 50 countries.
Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies.
help design, build, and scale data-driven solutions for the Science Analysts
Experience building and maintaining ETL/ELT pipelines and data workflows
Strong experience debugging, optimizing, and performance‑tuning high‑volume data pipelines.

What you’ll bring

All qualifications

Core experience

  • Strong Python programming and SQL experience
  • Experience with Airflow, Glue, or similar orchestration tools
  • Proficiency with AWS cloud platforms (S3, Lambda, Batch)
  • Understanding of data modeling, warehousing, and governance

Preferred experience

  • Financial-services data domain expertise
Qualification wording
Strong programming skills in Python and experience with SQL.
using tools such as Airflow, Glue or similar orchestration frameworks
Proficiency with cloud platforms, especially AWS (S3, Lambda, Batch).
Strong understanding of data modeling, data warehousing, data governance, and metadata management best practices.
Financial‑services data domain expertise is preferred.

About Wellington

Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets.

In the employer’s words · Read in context

Apply at Wellington

Posting record

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Open 6 monthsWe first saw this posting 181 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 8, 2026181 days ago
Recorded sightings
203
Last seen by us
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$90K–$180K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 181

Up longer than most. Similar jobs usually come down between day 6 and day 54.

Well past Wellington’s usual: its jobs come down by about day 58.

From 10,957 similar postings that came down, and 35 of Wellington’s. Coming down is not always a hire.

Wellington is hiring

7 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 14% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Databricks
  • Docker
  • S3
  • Snowflake
  • Airflow
Where the posting names them
- 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.
- 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).
- 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.
- 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.
- 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 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).

Your next step

Complete your application on wellington.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Us

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.

About the Role

Senior Data Engineer

POSITION

Tracing our roots to 1928, we are one of the world’s largest independent investment management firms. With over US$1.3 trillion in assets under management, we serve as trusted advisers to institutional clients and mutual fund sponsors in more than 50 countries.

Our innovative investment solutions are built on the strength of proprietary, independent research and span nearly all segments of the global capital markets, including equity, fixed income, multi-asset, and alternative strategies.

As a private partnership whose sole business is investment management, 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 because we believe multiple perspectives lead to more informed investment and business decisions.

At Wellington Management, our appetite for technology is insatiable. We recognize that the world is full of fascinating questions that will impact the future of companies, economies, financial markets, and entire industries. We want you to help us find answers to these questions by building and evolving our innovative, industry-leading technology platform. As technology needs advance, this complexity requires a highly sophisticated, well-managed platform built by people like you. This is your chance to build something incredible. This position is within our Information Technology team.

The Role

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

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 90,000 - 180,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.   

Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally.  Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and 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).

Not sure you meet 100% of our qualifications?  That’s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.

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 (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic protected by applicable law. If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at GMWTalentOperations@wellington.com.

At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:

USD 90,000 - 180,000

This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.   

 

Base salary is only one component of Wellington’s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally.  Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and 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 that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.

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Pay
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is: USD 90,000 - 180,000 This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.

More relevant text appears in the full description.

Location & working pattern

Boston, MA, United States

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