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Financial Data Engineer Jobs Near Me

VPL, Inc

Data Engineer

Westerville, OH · On-site

$111K - $133K/yr

Work with analysts, product managers, engineers, finance, operations, and other business partners to define metrics, business rules, source-to-target mappings, and data-quality expectations.

JP Morgan Chase

Data Engineer III

Columbus, OH · On-site

$107K - $129K/yr

As a Data Engineer at JPMorganChase within the Consumer & Community Banking - Authentication Tech ... Experience in financial services or other highly regulated industries. * Familiarity with data ...

JPMorgan Chase & Co

Data Engineer III

Columbus, OH · On-site

$107K - $129K/yr

As a Data Engineer at JPMorganChase within the Consumer & Community Banking - Authentication Tech ... Experience in financial services or other highly regulated industries. * Familiarity with data ...

Lower LLC

Senior Data Engineer

Columbus, OH · On-site

$102K - $139K/yr

As a Data Engineer, you will help build, maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

Key Responsibilities Data Engineering & Platform Development * Design and build scalable ELT/ETL ... Financial Benefits: Retirement 401k program with company match, an employee stock purchase plan ...

Lower LLC

Senior Data Engineer

Columbus, OH

$102K - $139K/yr

As a Data Engineer, you will help build,maintain, and improve the data infrastructure that powers reporting, analytics, operations, marketing, finance, product, and executive decision-making across ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Financial services industry experience preferred Only candidates available and ready to work ...

Genesis10

Lead Data Engineer

Columbus, OH · On-site

$60 - $68/hr

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally ... Financial services industry experience preferred Only candidates available and ready to work ...

Vertiv Co

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS Own It Act With Urgency Foster a Customer-First Mindset Think Big ...

Vertiv Group Corp.

Data Engineer - Cloud/AI

Westerville, OH · On-site

$110K - $132K/yr

Job Summary As a Data Engineer - Cloud/Gen AI , you will be responsible for designing, building ... Financial Strength OUR BEHAVIORS • Own It • Act With Urgency • Foster a Customer-First ...

Anduril Industries

Security Data Engineer

Ashville, OH · On-site

$129K - $220K/yr

ABOUT THE TEAM Anduril's Information Security team is looking for a security data engineer to focus ... No Financial Requests: Anduril will never solicit payment or demand personal financial details ...

Anduril Industries

Security Data Engineer

Ashville, OH · On-site +1

$129K - $220K/yr

ABOUT THE TEAM Anduril's Information Security team is looking for a security data engineer to focus ... No Financial Requests: Anduril will never solicit payment or demand personal financial details ...

centralins

Data Analyst

Dublin, OH · Hybrid

Partner with IT, data engineering, and other BI organizations to advance data & analytical capabilities throughout the enterprise * Analyze and validate financial data; identify trends, discrepancies ...

Judge Group, Inc.

GOOGLE Data Architect

Columbus, OH · On-site

$75 - $85/hr

Financial services or high-transaction domain experience * Experience with APIs, microservices, and data governance tools * Familiarity with DevOps, CI/CD, Terraform * Google Cloud Platform ...

ITTConnect

Business & Financial Analyst

Columbus, OH · Hybrid

... engineering services present in nearly 50 countries. The end client is in the Utilities/Energy ... Strong analytical skills for interpreting complex financial data and trends. Proficient in ...

APCO Holdings

Senior Data Developer

Westerville, OH

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales ... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ...

APCO Holdings

Senior Data Developer

Westerville, OH

Our teams work collaboratively across operations, technology, risk, finance, marketing, and sales ... Data Engineer, Database Developer, or similar role * Strong experience with SQL Server, SSIS, and ...

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Financial Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do financial data engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for financial data engineer 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.
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Financial Data Engineer jobs near you
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Data Engineer

Data Engineer

VPL, Inc

Westerville, OH • On-site

$111K - $133K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Who We Are
At VPL we modernize clinical supply chains to support healthier patients. Our technology-driven solutions and consultative customer experience empower health systems and outpatient pharmacies to build smarter, more resilient supply chains. With over 700 hospitals and a 97 percent customer retention rate, we're trusted to deliver transparency, cost savings, and peace of mind.
What We're Looking For
VPL is looking for a hands-on Data Engineer who can combine strong engineering fundamentals with analytical problem-solving. You will help keep our current Microsoft SQL Server and SSIS data environment reliable while developing the skills and platform knowledge needed to support VPL's transition to PostgreSQL and Snowflake.
This role supports both our enterprise data warehouse and production-critical ETL processes. The right candidate can troubleshoot a failed pipeline, optimize SQL, reconcile operational or financial data, and work with business partners to turn complex questions into trusted data solutions. Extensive Snowflake experience is not required; we value strong SQL, data engineering, and analytical capabilities with the ability and desire to grow into Snowflake and modern ELT practices.
What You'll Do
  • Operate, monitor, troubleshoot, and improve SSIS packages and scheduled ETL jobs that support VPL's enterprise data warehouse and production systems.
  • Diagnose pipeline failures, performance bottlenecks, data discrepancies, dependency issues, and incomplete or delayed loads; restore processing safely and document recurring solutions.
  • Develop and optimize complex T-SQL queries, stored procedures, views, functions, database jobs, and data transformations in Microsoft SQL Server.
  • Design, build, test, and
    maintain data pipelines that integrate operational, logistics, customer, carrier, supplier, billing, and financial data.
  • Develop and
    maintain dimensional models, relational models, reporting datasets, and other analytical data structures that are accurate, understandable, and performant.
  • Work with analysts, product managers, engineers, finance, operations, and other business partners to define metrics, business rules, source-to-target mappings, and data-quality expectations.
  • Reconcile data across source systems, production applications, financial processes, and analytical platforms; investigate anomalies and explain findings clearly.
  • Implement controls and alerts that
    identify missing, duplicate, late, incomplete, or inconsistent data before it affects customers, reporting, or billing.
  • Improve pipeline reliability through
    appropriate logging, monitoring, restartability, error handling, testing, source control, documentation, and deployment practices.
  • Help evaluate which existing SSIS workloads should be migrated, redesigned, replaced, or retired as VPL moves toward PostgreSQL, Snowflake, and modern ELT patterns.
  • Contribute to data migration, validation, parallel testing, and cutover activities while protecting the accuracy and continuity of critical data processes.
  • Use SQL, Python, statistics, visualization, or other analytical techniques to profile data, test assumptions,
    identify patterns, and support business decision-making.
  • Maintain data lineage, technical documentation, runbooks, recovery procedures, and definitions for critical datasets, transformations, and business rules.
  • Follow VPL security, privacy, governance, and compliance requirements and
    assist with audit or customer-assurance evidence related to data processing.
  • Participate in after-hours
    support for production-critical data processes after completing onboarding and demonstrating readiness.

What You'll Bring
  • Approximately 3-5 years of experience in data engineering, database development, business intelligence, analytics engineering, or a related role involving hands-on ownership of data pipelines and databases.
  • Strong Microsoft SQL Server and T-SQL skills, including experience developing and tuning complex queries, stored procedures, and data transformations.
  • Hands-on experience developing,
    maintaining, or troubleshooting SSIS packages and scheduled ETL workflows.
  • Experience with relational databases, data warehouses, dimensional modeling, and structured data integration.
  • Strong analytical skills and the ability to translate business questions and operational processes into data requirements and technical solutions.
  • Experience validating data through reconciliation, profiling, exception analysis, and repeatable testing.
  • Understanding of
    ETL and ELT concepts, incremental processing, dependencies, restartability, error handling, and production support practices.
  • Ability to independently investigate ambiguous data issues,
    identify root causes, assess business impact, and communicate conclusions.
  • Experience using Git or another source-control platform and familiarity with code review and controlled deployment practices.
  • Strong attention to detail, particularly when working with financial, transactional, customer-facing, or operational data.
  • Clear written and verbal communication and the ability to collaborate with technical and nontechnical stakeholders.
  • Bachelor's degree in computer science, information systems, data science, engineering, mathematics, finance, or
    a related field, or equivalent practical experience.

Helpful, But Not Required
  • Experience with
    logistics, shipping, supply chain, transportation, carriers, couriers, invoicing, billing, revenue, or other financial systems.
  • Experience with PostgreSQL or another open-source relational database.
  • Exposure to Snowflake,
    dbt, cloud data platforms, or modern ELT architectures. Deep Snowflake expertise is not required.
  • Experience using Python for data processing, automation, analysis, testing, or pipeline development.
  • Familiarity with statistics, forecasting, anomaly detection, machine learning, or other applied data-science methods.
  • Experience with Microsoft Azure, Azure DevOps, Jira, CI/CD, data visualization tools, or supporting a SaaS platform in healthcare or another regulated environment.

How You'll Grow
  • Build a deep understanding of VPL's operational,
    logistics, billing, and analytical data domains.
  • Progress from supporting existing SQL Server and SSIS processes to designing and implementing modern PostgreSQL and Snowflake solutions.
  • Develop stronger capabilities in data architecture, ELT, automated data quality, observability, Python, and analytics engineering.
  • Expand the use of statistical and data-science techniques to
    identify risk, explain operational outcomes, and create new business insight.
  • Grow toward advanced data engineering, analytics engineering, data architecture, or applied data-science responsibilities.

Current and Target Technology
  • Microsoft SQL Server, T-SQL, SQL Server Integration Services (SSIS), SQL Server Agent, and a SQL Server-based enterprise data warehouse.
  • PostgreSQL and Snowflake as VPL's target data platforms.
  • ETL and ELT pipelines, dimensional data models, relational models, data-quality controls, and analytical datasets.
  • Microsoft Azure, Azure DevOps, Git, Jira, and automated build and deployment practices.
  • Python, data visualization, statistical analysis, and modern data engineering tools as the platform evolves.

What's In It For You
  • Own data processes that directly affect VPL's customers, operations, financial performance, and business decisions.
  • Develop modern data engineering skills while helping guide a meaningful transition from SQL Server and SSIS to PostgreSQL and Snowflake.
  • Work across engineering, analytics, product, finance, and operations to solve complex, high-value data problems.
  • Join a low-bureaucracy, fast-paced environment where improvements to data quality, reliability, and insight have
    visible business impact.

Apply