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

Senior Data Engineer

Boston, MA · On-site

$115K - $156K/yr

Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. The Senior Data Engineer ...

Director, Data Engineering

Boston, MA · Hybrid

$220K - $230K/yr

Our Quantitative Investment Science group is seeking a Lead Data Engineer to fully manage and ... You should have extensive experience with private equity financial data and an entrepreneurial ...

... world's top financial institutions and Fortune Global 500 companies. With a strong presence ... The Senior Data Engineer is responsible for designing, building and maintaining modern data ...

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Experience in professional services, legal, or financial environments preferred. The salary wage ...

Data Platform Engineer

Boston, MA · On-site

$124K - $149K/yr

... Atlantic Financial Group. References to KKR's investments may include the activities of its ... TEAM OVERVIEW The ADAPT (AI, Data, and Platform Technologies) Engineering team is integral to KKR ...

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 are seeking a highly ...

A global financial technology leader is hiring a Principal Data Engineer to join its hybrid engineering team in Waltham, MA. This full-time role focuses on designing and building enterprise-scale ...

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

Senior Data Engineer

Boston, MA · Hybrid

$165K - $185K/yr

The Senior Data Engineer will report to the Director of Data Engineering. This role will play a ... Founded in 2001, Geode is headquartered in Boston's financial district, the center of one of the ...

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 ...

Showing results 21-40

Financial Data Engineer information

See Boston, MA salary details

$48.4K

$141.1K

$193.1K

How much do financial data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for financial data engineer in Boston, MA is $141,096.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,500.00 and $149,600.00 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 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:
Infographic showing various Financial Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 79% In-person, 8% Hybrid, and 13% Remote job distribution, with an average salary of $141,096 per year, or $67.8 per hour.

Senior Data Engineer

Paul Hastings

Boston, MA • On-site

$115K - $156K/yr

Full-time

Re-posted 10 days ago


Job description

Job Summary:
Paul Hastings is a leading international law firm that provides innovative legal solutions to many of the world's top financial institutions and Fortune Global 500 companies. The Senior Data Engineer is responsible for designing, building, and maintaining modern data pipelines and data integration solutions in the Azure Cloud to enable enterprise analytics.
Responsibilities:
• Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) and Azure Databricks;
• Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources;
• Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring using Azure DevOps;
• Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics;
• Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance;
• Automate environment setup, configuration and permissions using infrastructure-as-code where possible;
• Write modular, testable code in Python or PySpark and manage version control with Git;
• Support production operations, root cause analysis and performance tuning;
• Maintain technical documentation for pipelines, data mappings and deployment processes;
• Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; and
• Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering or related field (required)
• 7+ years of data engineering or BI development experience
• 3+ years building data solutions in Microsoft Azure Cloud
• 2+ years using Azure DevOps for automated builds, releases and pipeline orchestration
• Proven experience working with structured and semi-structured data (Parquet, JSON, Avro)
Preferred:
• Experience with Power BI dataflows, datasets and refresh configuration (preferred)
• Experience in professional services, legal, or financial environments preferred
• Familiarity with data cataloging and governance tools (e.g., Microsoft Purview) a plus
• Experience with Agile tools such as Azure Boards or JIRA
Company:
Paul Hastings is an international law firm that provides legal solutions to many financial institutions and Fortune 500 companies. Founded in 1951, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.