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Data Engineer Finance Jobs in Indiana (NOW HIRING)

Senior Data Engineer (in person)

Westfield, IN ยท On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Must be able to work from our office in Westfield, IN without relocation financial assistance SEP ...

$106K - $128K/yr

The role We're looking for a Data Engineer (m/f/d) to build and improve internal data solutions ... Experience in insurance, reinsurance, banking, or finance * Familiarity with cloud platforms and ...

Manager, Data Engineering

Cicero, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Sheridan, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Westfield, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Carmel, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Cumberland, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Noblesville, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Indianapolis, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Speedway, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Arcadia, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Brownsburg, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Avon, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

Manager, Data Engineering

Fishers, IN ยท On-site

$111K - $185K/yr

NextGear Capital is hiring a Manager, Data Engineering to lead the team responsible for the data ... Experience in automotive finance, lending, or risk management domains * Experience creating or ...

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Showing results 1-20

Data Engineer Finance information

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.
What are popular job titles related to Data Engineer Finance jobs in Indiana? For Data Engineer Finance jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Data Engineer Finance jobs? Cities in Indiana with the most Data Engineer Finance job openings:
Infographic showing various Data Engineer Finance job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Senior Data Engineer (in person)

Senior Data Engineer (in person)

SEP

Westfield, IN โ€ข On-site

$101K - $138K/yr

Full-time

Re-posted 20 days ago


Job description

Data is only as powerful as the foundation beneath it. At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready to lead the way.

We've been partnering with companies to build software that matters since 1988. From Fortune 100 enterprises to fast-moving scale-ups, our clients depend on us to tackle complexity, deliver with craft, and stay engaged through every stage of the work. Now, we're growing our data practice - and we want someone who's as excited about clean, connected, trustworthy data as we are.
What we have to offer
  • Variety on every axis - tools, technologies, market sectors, methodologiesย 
  • Flexible, reasonable work schedulesย 
  • Extensive opportunities to learn and develop yourselfย 
  • A community of friendly, talented, and effective peersย 
  • Opportunities to try outย different rolesย with minimal riskย 
  • Gorgeous facilitiesย 
What you'll be doing
  • Provide technical direction on data engagements and mentor other engineersย 
  • Design and implement data pipelines and transformations (batch and streaming)ย 
  • Develop data models for analytics use casesย 
  • Implement data quality checks and testing strategies for pipelinesย 
  • Configure and manage orchestration and workflow toolingย 
  • Build andย maintainย infrastructure as code for data platformsย 
  • Translate architectural direction into implementation plansย 
  • Communicate progress, risks, and technical tradeoffs to stakeholdersย 
  • Support client meetings in a technical capacityย 
Key attributes for applicants
  • A passion for great products, software development, and learningย 
  • Expert-level SQL skills with strongย proficiencyย in Python; experience with Spark, Scala, R, or C# is a plusย 
  • Deepย expertiseย in data pipeline development, including batch and streaming patternsย 
  • Solid understanding of data modeling patterns for analytics (dimensional modeling, data vault,ย lakehouseย architectures)ย 
  • Experience with cloud data platforms - Azure preferred, AWS experience also valuedย 
  • Familiarity with modern data platforms such as Databricks, Snowflake, Microsoft Fabric, or Redshiftย 
  • Understanding of orchestration and workflow management (Apache Airflow, Databricks Workflows, Temporal, or similar)ย 
  • Experience with data quality frameworks and testing strategies for pipelinesย 
  • Familiarity withย infrastructureย as code tooling (Terraform, ARM/Bicep) and CI/CD pipelines (GitHub Actions or similar) is a plusย 
  • Experience with analytics engineering tools likeย dbtย and data catalog tools (Unity Catalog, Microsoft Purview) is a plusย 
  • Ability to evaluate architectural tradeoffs in data systems (OLAP vs. OLTP, batch vs. streaming, warehouse vs.ย lakehouse)ย 
  • Comfortable with ambiguity; can clarify requirements through conversationย 
  • Interest in mentoring and developing less experienced engineersย 
  • Professional data engineering experience (8+ years desired)ย 
  • Must be legally authorized to work in the United Statesย 
  • Must not require visa sponsorship or have work authorization based on OPT or CPTย 
  • Must be able to work from our office in Westfield, IN without relocation financialย assistanceย 
SEP is a software product design and development company located in Westfield, IN. We provide powerful teams of thoughtful developers and designers to bring ideas to life. Founded in 1988, SEP is one of Indiana's largest software development firms with 180 employees. Our clients span from Fortune 100 to scale-up companies. We are 100% employee-owned through an ESOP and are consistently recognized for our great culture (Top Workplaces, Best Place to Work in Indiana, Techpoint Mira Exceptional Employer).

We are an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
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About SEP

Sourced by ZipRecruiter

Industry

Software development

Company size

51 - 200 Employees

Headquarters location

Carmel, IN, US

Year founded

1988