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Data Engineer Finance Jobs (NOW HIRING)

Data Engineer, Finance

Iselin, NJ ยท On-site

$95K - $110K/yr

Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be ... An understanding of financial data and concepts. * Analytical, rigorous, with attention to detail.

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Lead Data Engineer (Finance Tech)

Richmond, VA ยท On-site

$113K - $136K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Lead Data Engineer (Finance Tech)

Mclean, VA ยท On-site

$115K - $139K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

Lead Data Engineer (Finance Tech)

Cambridge, MA ยท On-site

$125K - $150K/yr

Lead Data Engineer (Finance Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative ...

... Data Engineering and/or Accounting or Finance, including at least 4 years in a Data Engineering role focused on building and maintaining analytical or product datasets * Experience with FP&A ...

... Data Engineering and/or Accounting or Finance, including at least 4 years in a Data Engineering role focused on building and maintaining analytical or product datasets * Experience with FP&A ...

Data Engineer, Finance Data & BI

Richmond, VA ยท Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

Data Engineer, Finance Data & BI

Richmond, VA ยท Hybrid

$130K - $140K/yr

The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into highquality, analyticsready, and AIenabled datasets . These ...

Sr. Snowflake Data Engineer - Finance

Austin, TX ยท On-site

$113K - $136K/yr

They are seeking a Lead Snowflake Data Engineer to design and evolve Finance's data ecosystem in Snowflake, partnering with Finance and IT teams to create high-quality data products that support ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer , preferably with a finance or cost engineering background and hands-on exposure to data engineering to drive delivery of modern ...

Senior Analytics Engineer, Finance

Denver, CO ยท On-site

$112K - $152K/yr

Reporting to the Data Engineering Manager, the Senior Analytics Engineer (Finance) will be the dedicated data partner for Checkr's Finance organization, owning the models, pipelines, and governance ...

Data Engineer

Chantilly, VA ยท On-site

$118K - $142K/yr

The Data Engineer will also integrate with external systems via API, parse API responses into ... Bachelor's degree in Computer Science, Engineering, Finance, or a related technical field, or ...

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Data Engineer Finance information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer finance jobs pay per year?

As of Jun 9, 2026, the average yearly pay for data engineer finance in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Data Engineer in Finance do?

A Data Engineer in Finance is responsible for designing, building, and maintaining data pipelines and architectures that support the collection, storage, and analysis of financial data. They ensure that financial institutions have reliable access to accurate and timely data for analytics, reporting, and regulatory compliance. Their work often involves integrating data from multiple sources, optimizing data workflows, and collaborating with data scientists and analysts to deliver actionable insights. Data Engineers in Finance play a crucial role in enabling data-driven decision-making while ensuring data security and integrity.

How does a Data Engineer in Finance typically collaborate with analysts and other stakeholders to ensure data reliability and compliance?

Data Engineers in Finance work closely with data analysts, business intelligence teams, and compliance officers to design pipelines that deliver accurate, timely, and compliant data. Regular communication is essential to understand reporting requirements, data quality standards, and regulatory constraints. They often participate in cross-functional meetings to prioritize tasks, resolve data discrepancies, and implement controls that meet both business and legal needs. This collaboration ensures that data products not only support decision-making but also adhere to financial industry regulations.

What is the difference between Data Engineer Finance vs Data Analyst Finance?

AspectData Engineer FinanceData Analyst Finance
Primary RoleBuilds and maintains data pipelines, infrastructure, and databases for financial dataAnalyzes financial data to generate reports and insights
Skills & CertificationsSQL, Python, ETL tools, cloud platforms, data modelingExcel, SQL, data visualization tools, basic scripting
Work EnvironmentData engineering teams, IT departments, cloud environmentsFinance teams, business units, reporting platforms
Industry UsageUsed across financial institutions for data infrastructureUsed for financial reporting and decision-making

Data Engineer Finance focuses on creating and managing the data infrastructure necessary for financial data processing, while Data Analyst Finance interprets this data to provide actionable insights. Both roles are essential in financial organizations but serve different functions within the data ecosystem.

What are the key skills and qualifications needed to thrive as a Data Engineer in Finance, and why are they important?

To thrive as a Data Engineer in Finance, you need expertise in data modeling, ETL processes, and a strong foundation in SQL, Python, or Scala, often supported by a degree in computer science, information systems, or a related field. Familiarity with financial data platforms, cloud services (like AWS or Azure), and tools such as Apache Spark, Hadoop, and relevant data security certifications is common. Collaboration, attention to detail, and strong problem-solving skills are standout soft skills for this role. These abilities ensure reliable data pipelines, compliance with financial regulations, and actionable insights that support critical business decisions.
More about Data Engineer Finance jobs
What cities are hiring for Data Engineer Finance jobs? Cities with the most Data Engineer Finance job openings:
What states have the most Data Engineer Finance jobs? States with the most job openings for Data Engineer Finance jobs include:

Data Engineer, Finance

Ascot Group

Iselin, NJ โ€ข On-site

$95K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Job Description
This is an opportunity to join Ascot Group - one of the world's preeminent specialty risk underwriting organizations.
Designed as a modern-era company operating through an ecosystem of interconnected global operating platforms, we're bound by a common mission and purpose: One Ascot. Our greatest strength is a talented team who flourishes in a collaborative, inclusive, and entrepreneurial culture, steeped in underwriting excellence, integrity, and a passion to find a better way, The Ascot Way.
The Ascot Way guides our people and our organization. Our underwriting platforms collaborate to find creative ways to deploy our capital in a true cross-product and cross-platform approach. These platforms work as one, deploying our capital creatively through our unique Fusion Model: Client Centric, Risk Centric, Technology Centric.
Built to be resilient, Ascot maximizes client financial security while delivering bespoke products and world class service - both pre- and post-claims. Ascot exists to solve our clients' brightest tomorrow, through agility, collaboration, resilience, and discipline.
Ascot is embedding artificial intelligence (AI) and automation across the organization to enhance decision making, efficiency, and quality of outcomes. In this role, you will be expected to work confidently alongside AI enabled tools, apply sound judgment when interpreting insights, and adapt as technology continues to evolve. We value curiosity, critical thinking, and a willingness to embrace change as part of how we work.
Position Overview:
As part of the Data Integration & Delivery Team, the Data Engineer position will be responsible for the analysis, development, implementation, testing, and ongoing support of data warehouse projects, including Phinsys and the Data & Integration Hub. This role will be in the office with a hybrid work schedule.
Responsibilities:
  • Serve as a Data Engineer Level 1 for projects, enhancements, and production support.
  • Be responsible for all analysis and support of assigned projects to include hands-on development.
  • Assist in establishing work estimates based on business requirements through participation in project feasibility, scoping, and estimating activities.
  • Assist in the high/low level designs and technical specifications that can be accurately executed.
  • Validate accuracy/quality of data integrations generated from ETL specifications. Ensure data model specifications are met.
  • Assist with hands-on design, development and testing for the most complex data related work.
  • Coordinate/lead production implementations to ensure smooth, quality releases.
  • Participate in the delivery of new warehouse sources/tables/mart etc. while leveraging existing company standards.
  • Coordinate Ascot and Vendor resources to ensure high quality and timely deliverables.
  • Think independently and creatively to streamline work and root out inefficiencies.
  • Find opportunities to increase speed and quality of output. Must be able to articulate ideas and turn those ideas into new capabilities, performance improvements, and quality improvements.
  • Anticipate and report technical and organizational roadblocks.
  • Commitment to The Ascot Way: Embody The Ascot Way in their daily interaction with colleagues, fostering colleague engagement and development, collaboration, inclusivity, and individual accountability.

Requirements:
  • Bachelor's degree in information systems, Computer Science, Data Analytics, or a related field (or equivalent experience).
  • 2+ years of experience as a Data Analyst/Engineer for a large Data Warehouse working with large data sets.
  • Some ETL Tool experience; SSIS, Informatica, ADF
  • Some experience in the Commercial and/or Specialty insurance industry is desired.
  • An understanding of financial data and concepts.
  • Analytical, rigorous, with attention to detail.
  • Proven SQL skills
  • Proven experience using SQL to identify and correct data issues.
  • Some Database knowledge, preferably SQL Server, Synapse
  • Capable scripting/SQL skills to perform ETL, data/file validation, analysis, and profiling.
  • Minimal ability to create, read, understand, and interpret Data Models
  • Code maintenance and review experience in one or more general purpose languages.
  • Understanding insurance domain data models, desired

***This position may be filled at a different level, depending on experience***
Compensation:
Actual base pay could vary and may be above or below the listed range based on factors including but not limited to experience, subject matter expertise, and skills. The base pay is just one component of Ascot's total compensation package for employees. Other rewards may include annual cash bonus and other forms of discretionary compensation awarded by the Company.
The annualized base pay range for this role is: $95,000 - $110,000
Company Benefits:
The Company provides a competitive benefits package that includes the following (eligibility requirements apply):
  • Health and Welfare Benefits: Medical (including prescription coverage), Dental, Vision, Health Savings Account, Commuter Account, Health Care and Dependent Care Flexible Spending Accounts, Life Insurance, AD&D, Work/Life Resources (including Employee Assistance Program), and more.
  • Leave Benefits: Paid holidays, annual Paid Time Off (includes paid state /local paid leave where required), Short-term Disability, Long-term Disability, Other leaves (e.g., Bereavement, FMLA, Adoption, Maternity, Military, Primary & Non-Primary Caregiver)
  • Retirement Benefits: Contributory Savings Plan (401k)

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