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Data Engineer Finance Jobs (NOW HIRING)

Motion

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

The Data Engineer will develop and maintain ETL processes, ensuring accurate and accessible financial data while collaborating with various stakeholders to enhance reporting efficiency and support ...

Genuine Parts Company

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

Working within the Finance Data Team, the Data Engineer develops modern data pipelines inside of cloud-based data platforms to provide financial business intelligence and enable data-driven decision ...

Ascot Group

Data Engineer, Finance

Iselin, NJ · 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.

DAT

Staff Data Engineer, Finance

Seattle, WA · On-site

... 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 ...

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · 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 ...

McKesson

Data Engineer, Finance Data & BI

Richmond, VA · 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 ...

AMD

Sr. Snowflake Data Engineer - Finance

Austin, TX · 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 ...

Stellantis

Data Engineer

Auburn Hills, MI · 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 ...

Bechtel

AI Engineer - Finance

Washington, DC

$106K - $178K/yr

Salary Range: $106,900 - $178,500 annually (salary range is based on market data; final salary ... We are seeking an AI Engineer - Finance to join the Finance Transformation and AI team, focused on ...

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All JobsData Engineer Finance Jobs

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 Jul 8, 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:
What job categories do people searching Data Engineer Finance jobs look for? The top searched job categories for Data Engineer Finance jobs are:
Data Engineer Finance jobs near you
Infographic showing various Data Engineer Finance job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer, Finance

Data Engineer, Finance

Motion

Birmingham, AL • On-site

$107K - $128K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Motion is a company that focuses on providing financial business intelligence through modern data pipelines. The Data Engineer will develop and maintain ETL processes, ensuring accurate and accessible financial data while collaborating with various stakeholders to enhance reporting efficiency and support strategic initiatives.
Responsibilities:
• Designs, builds, and maintains scalable data pipelines and ETL processes to support financial reporting, operational analysis, and business intelligence needs.
• Designs and manages data security frameworks, including role-level security (RLS) and permissions across Finance’s Power BI workspaces, ensuring appropriate access controls aligned with Finance data governance requirements.
• Develops, and implements sematic layers for consumption in PowerBI dashboards and visualizations.
• Maintains data models optimized for finance use cases.
• Develops processes to monitor data integrity including reconciliation, and exception reporting.
• Collaborate with software developers and data scientists to support advanced analytics and AI initiatives.
• Ensures alignment of team objectives with business goals, coordinating with stakeholders in finance, accounting, and other departments.
• Utilize visualization techniques and BI Tools (Power BI & Qlik) to present findings in a clear, actionable format.
• Defines project scope, deliverables and timelines, ensuring on-time, high quality products.
• Continuously monitors emerging technologies and industry trends, ensuring the preservation of a competitive advantage while promoting the enhancement of organizational capabilities.
• Performs other duties as assigned.
Qualifications:
Required:
• Requires a bachelor’s degree in Computer Science, Information Systems, Data Engineering, Finance, Accounting or related field.
• At least five (5) years of experience in data engineering or related technical roles.
• Strong SQL development and database design experience.
• Experience building ETL pipelines using modern data integration tools.
• Proficiency in Python, PySpark, Databricks or similar data engineering technologies.
• Experience with cloud data platforms such as Snowflake, Azure, AWS, or Google Cloud.
• Strong knowledge of data engineering principles, including experience with data warehousing, and big data technologies.
• Experience working with ERP and financial systems such as SAP, Oracle, Workday, or similar platforms.
• Strong analytical and problem-solving skills.
• Communication, presentation, and interpersonal skills, with the ability to convey complex concepts to diverse audiences.
• Proven track record of successful project management, including the ability to prioritize tasks, manage deadlines, and ensure the delivery of high-quality solutions.
Preferred:
• Industry-specific domain knowledge in Finance or Accounting, with an understanding of related processes and terminology is preferred.
• Experience with data visualization tools (Qlik, PowerBI, etc.) preferred.
Company:
Motion serves the industrial marketplace with MRO (maintenance, repair, and operation) replacement parts and services through a network of over 600 locations across North America. Founded in 1931, the company is headquartered in Port Arthur, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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