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Financial Data Engineer Jobs in Boston, MA (NOW HIRING)

Syntricate Technologies

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... or Finance related field. • 10+ years of data engineering experience, at peer firms utilizing ... agile methods and modern SDLC processes to deliver quality technological solutions in a transparent ...

Mwe

Pricing Data Engineer

Boston, MA · On-site

$110K - $169K/yr

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Unchain Data

Forward-Deployed AI Data Engineer

Boston, MA · On-site

$120 - $190/hr

We have active deployments with a financial institution and Interlochen, a proven architecture, and ... Who We're Looking For Experience * 4-8 years combining hands-on data engineering with direct ...

Motion Recruitment

Principal Data Engineer

Boston, MA · On-site

A rapidly growing financial technology company is hiring a Principal Data Analytics Engineer to lead the evolution of its cloud-native data platform supporting one of the world's largest structured ...

SS&C

Principal Data Engineer

Waltham, MA · Hybrid

As a leading financial services and healthcare technology company based on revenue, SS&C is ... Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We areseekinga highly ...

MFS

Lead Data Engineer

Boston, MA

$124K - $149K/yr

Are you a hands-on and detailed-oriented individual working on the cutting edge of financial ... The MFS Enterprise Data Management Office is actively searching for a Lead Data Engineer to ...

Audax Group

Data Engineer Co-Op

Boston, MA · On-site

$30 - $34/hr

Audax is looking for a dynamic, motivated Data Engineer CO-OP to join the business solutions team ... s) without any financial obligation to the third-party recruiting agency. Any third-party ...

Audax Group

Data Engineer CO-OP

Boston, MA · On-site

$30 - $34/hr

Audax is looking for a dynamic, motivated Data Engineer CO-OP to join the business solutions team ... s) without any financial obligation to the third-party recruiting agency. Any third-party ...

ABCorp NA Inc.

Senior Data Engineer

Boston, MA · On-site

$120K - $140K/yr

What began with protecting America's financial foundation now drives cutting-edge solutions that ... The Platform Engineering Team at ABCorp builds the data infrastructure layer that powers our entire ...

Quantiphi

Architect - Data Engineer

Boston, MA · On-site

$140 - $190/hr

We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods ... Architect Data Engineer - AI Platforms**Experience Level:**10+ yrs**Work Location:**US East/Canada ...

American Tower

Principal, Data Engineer

Woburn, MA · On-site

$170K - $213K/yr

As a Principal Data Engineer, you will set engineering standards, mentor engineers, and collaborate extensively with decentralized analytics teams across the Global Operations, Finance, and Sales ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in Boston, MA

Financial Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

How much do financial data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for financial data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

What is a financial data engineer?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What does a financial data engineer do?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive as a financial data engineer?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What are the most commonly searched types of Financial Data Engineer jobs in Boston, MA?

The most popular types of Financial Data Engineer jobs in Boston, MA are:

What are popular job titles related to Financial Data Engineer jobs in Boston, MA?

For Financial Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Financial Data Engineer jobs in Boston, MA look for?

The top searched job categories for Financial Data Engineer jobs in Boston, MA are:

Financial Data Engineer jobs near you
Infographic showing various Financial Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Senior Data Engineer

Syntricate Technologies

Boston, MA • On-site

$115K - $156K/yr

Full-time

Re-posted 17 days ago

Key responsibilities

  • Build and deliver datasets through onboarding, mapping, and automated data quality processes for use by research teams and data operations.

  • Design and implement processes and tools to manage data onboarding and ensure data quality throughout the data lifecycle.

  • Provide data stewardship and develop tools to automate data quality checks and client fault detection.

Job description

Job Summary:
Syntricate Technologies is seeking a Senior Data Engineer to join their Asset Management Quant Research Engineering team. The role involves building a world-class data operation, focusing on data onboarding, quality best practices, and delivering datasets for maintenance and consumption by research teams.
Responsibilities:
• Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production.
• Design and implement processes and tools for data onboarding and quality, helping to deliver an industry best-practice solution for managing the data lifecycle.
• Provide data stewardship to other team members and to Data Operations as they review datasets for completeness and quality.
• Produce stand-alone tools that can be used by other teams to automate data quality and Client faults.
Qualifications:
Required:
• Bachelor's degree (or higher) in either Computer Science, Management Information Systems, Business Information Systems, Mathematics or Finance related field.
• 10+ years of data engineering experience, at peer firms utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
• Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.
• Demonstrated domain experience with financial datasets including FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT
• A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments. Ability to recognize business risk and surface it to key decision-makers.
• Substantial Investment Management business domain expertise across some combination of research, portfolio management, trading and investment operations.
• Demonstrated data engineering experience, utilizing agile methods and modern SDLC processes to deliver quality technological solutions in a transparent, reliable way.
• Experience in building and designing solutions for data warehouse and experience in working with large data sets in Oracle and Snowflake
• Demonstrable mastery of industry best practices in the data lifecycle, including data quality automation and tooling.
• A proven track record of working with complex data environments and associated technology and analytics infrastructure needed to support these environments. Ability to recognize business risk and surface it to key decision-makers.
• Demonstrated Experience in Python programming and familiarity with core data science libraries. Understanding different package managers and test frameworks.
• Experience in some of the following technologies continuous integration/delivery tools such as GIT, Cloudbees Jenkins, uDeploy and/or Pivotal Concourse.
Preferred:
• Domain experience with financial datasets like FactSet, Bloomberg, IBES, CompStat, S&P Global, Worldscope, Morningstar, MSCI, Reuters, IDC, Markit, BARRA, Axioma, Northfield, and PORT is a plus
• Knowledge in python web frameworks like Flask, Django is a plus
• Fluency in formal language design concepts like type systems a plus.
• Experience with quant research processes, methodologies, and tools a plus.
Company:
Syntricate Technologies offers quality assurance, validation, regulatory, business analysis, and project management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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