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Data Engineer Finance Jobs in Indiana (NOW HIRING)

Data Engineer

Carmel, IN

$108K - $130K/yr

Description Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives.

Data Engineer

Carmel, IN · On-site

$108K - $130K/yr

Job Type Full-time Description Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance , and broader Enterprise ...

Fabric Data Engineer

Indianapolis, IN · On-site

$60 - $70/hr

Partner with Finance stakeholders, enterprise data engineers, and AEV Hub analysts to deliver accurate, relevant, and actionable insights * Contribute to self-service analytics enablement through ...

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

Data Engineering is a key role in the development team and is responsible for building and ... the finance team, and the data science team, in order to convert data into understandable ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Snowflake Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Since 2005, we have partnered with some of the largest healthcare, life sciences, financial ... Snowflake Data Engineer | About You As a Snowflake Data Engineer, you are responsible for ...

Lead Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Lead Data Engineer As a Lead Data Engineer, you will be part of the Enterprise IT - Data ... We offer a comprehensive benefits package focusing on financial, physical, and mental well-being ...

Data Engineer (in person)

Westfield, IN · On-site

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Must be able to work from our office in Westfield, IN without relocation financial assistance SEP ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Must be able to work from our office in Westfield, IN without relocation financial assistance SEP ...

Data Engineer (in person)

Westfield, IN

$109K - $131K/yr

SEP is looking for a data engineer to join our growing data practice and deliver data solutions for ... Must be able to work from our office in Westfield, IN without relocation financial assistance SEP ...

Senior Data Engineer

Zionsville, IN · On-site

$102K - $139K/yr

Why This Role Matters: The Senior Data Engineer at Group 1001 will play a critical role in ... Deep experience in the insurance or financial services industry with understanding of regulatory ...

Lead Software Engineer - Finance Historically, the role of IT has been to provide a reliable ... In this role, you will help unlock confidence through trusted, decision-ready data, reduce manual ...

Senior Data Engineer (in person)

Westfield, IN · 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 ...

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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.
Data Engineer

$108K - $130K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Description

Our business technology team is enhancing its data engineering capabilities with focus in financial services data including accounting, finance, and broader Enterprise Data initiatives. We are seeking a skilled Data Engineer, along with at least three years of experience, who will design, build, and maintain scalable data pipelines, integrations, and Lakehouse architectures utilizing Python, Microsoft Fabric, Azure DevOps, Jira and more.


Our Data Engineer will be able to do the following confidently and independently...

  • Design, build, and optimize ETL/ELT pipelines utilizing Microsoft Fabric Notebooks (Python) and Fabric Pipelines.
  • Utilize CI/CD pipelines (Azure DevOps, Git-based workflows, Fabric deployment pipelines, etc.) to automate code deployments, testing, and release processes.
  • Maintain version control across code, pipeline definitions, SQL models, and integration scripts.
  • Build and maintain integrations (initially Salesforce) for syncing data between source systems and the enterprise data warehouse in Microsoft Fabric.
  • Architect and manage Lakehouse (Bronze/Silver/Gold) structures aligning with enterprise medallion best practices.
  • Develop scalable data models for investment reporting, portfolio analytics, and capital markets insights.
  • Ensure schema alignment, consistency, and auditability across all inbound data flows.
  • Implement ongoing monitoring, validation, and reconciliation to support trusted investment and risk reporting.
  • Maintain metadata, data dictionaries, and technical documentation in alignment with Enterprise data governance.

Requirements


What we are looking for...

  • Bachelor's or Master's degree in computer science, data analytics, or a related field.
  • 3+ years of experience in data engineering or cloud ETL development.
  • Proficient in Python for data engineering, automation, and integration tasks.
  • Experience designing and managing CI/CD pipelines (Azure DevOps, GitHub, or similar).
  • Experience with version control (preferably Git-based) from managing code, pipelines, and deployment artifacts.
  • Hands-on experience integrating systems (Bulk API, REST API, or connector-based ingestion).
  • Experience with data quality frameworks and data governance concepts.

Preferred Skills:

  • Experience working with investment, capital markets, or financial services data.
  • Familiarity with Git-based workflows, DevOps pipelines, or Fabric deployment processes.
  • Power BI and semantic model support experience.
  • Experience with cloud-based orchestration or event-driven patterns.

Our Benefits: Health, Vision, Dental, 401K, ESOP, 100% Tuition Assistance, 4 weeks paid time off, plus a few more 



About Merchants


Ranked as a top performing U.S. public bank by S&P Global Market Intelligence, Merchants Bancorp is a diversified bank holding company headquartered in Carmel, Indiana operating multiple segments, including Multi-family Mortgage Banking that offers multi-family housing and healthcare facility financing and servicing; Mortgage Warehousing that offers mortgage warehouse financing; and Banking that offers retail and correspondent residential mortgage banking, agricultural lending, and traditional community banking. Merchants Bancorp, with $18.8 billion in assets and $11.9 billion in deposits as of December 31, 2024, conducts its business primarily through its direct and indirect subsidiaries, Merchants Bank of Indiana, Merchants Capital Corp., Merchants Capital Investments, LLC, Merchants Capital Servicing, LLC, Merchants Asset Management, LLC, and Merchants Mortgage, a division of Merchants Bank of Indiana.

Merchants Bank and Merchants Capital have recently been honored with the 2025 USA Today Top Workplaces recognition, ranking 22nd nationally within the 500-999 employee category. This is the second year that Merchants has been recognized with this award. These accolades build on our strong history of workplace recognition, including being named a Best Place to Work in Indiana for seven consecutive years (2016-2022). For more information read the entire article here.