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Data Engineer Finance Jobs in Indiana (NOW HIRING)

Cost Engineer

Indianapolis, IN ยท On-site

$85K/yr

Overview Are you driven by data and can turn numbers into actionable insights? As a Cost Engineer, you will play a pivotal role in monitoring, analyzing and forecasting the financial outcomes of one ...

Cost Engineer

Indianapolis, IN ยท On-site

$75K - $85K/yr

Overview Are you driven by data and can turn numbers into actionable insights? As a Cost Engineer, you will play a pivotal role in monitoring, analyzing and forecasting the financial outcomes of one ...

Establish and evolve finance and talent data domain standards and best practices. Actively be hands ... Prior experience using methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub ...

Senior ML Engineer

Indianapolis, IN ยท On-site

$99K - $137K/yr

Perform econometric and financial analysis to support capital planning and cost-benefit decisions ... Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device ...

Senior ML Engineer

Indianapolis, IN ยท On-site

$99K - $137K/yr

Perform econometric and financial analysis to support capital planning and cost-benefit decisions ... Design and implement data pipelines for large-scale healthcare datasets (EHR, claims, RTLS, device ...

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ...

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... As a member of the Data Platform Engineering team, you own the core Data warehouse platform, data ...

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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 job categories do people searching Data Engineer Finance jobs in Indiana look for? The top searched job categories for Data Engineer Finance jobs in Indiana 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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
IT Data Management Supervisor

IT Data Management Supervisor

Atlas Van Lines

Evansville, IN โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Atlas Van Lines rating

4.8

Company rating: 4.8 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

21st of 27 rated removal and storage companies


Job description

Overview
IT Team | Atlas Van Lines
At Atlas Van Lines, we're more than a moving company. We're a family of companies delivering transportation and logistics solutions across the globe. Through a trusted network of quality agents and service partners, we help people and businesses go new placesยฎ - more easily, more securely, and with confidence.
What sets Atlas apart is our agent-owned model and shared commitment to service excellence. That focus has fueled extraordinary growth and we're just getting started.
About the Role
We're looking for an experienced, hands-on Data Management Supervisor to join our Data & Analytics team. This role is a technical leadership position responsible for guiding and contributing to the work of our database administrators and data engineers while ensuring the reliability, performance, and security of Atlas's data platforms.
As a player-coach, you'll balance direct technical contributions with team leadership-partnering closely with IT leadership and business stakeholders to ensure our data environment supports reporting, analytics, and operational needs. You'll take a proactive approach to data management while also responding effectively to immediate operational challenges.
What You'll Do
  • Act as a player-coach by contributing directly to technical work while leading and mentoring the data team.
  • Provide technical leadership for database administration, data engineering, and data platform operations.
  • Direct the administration and maintenance of databases, ensuring optimal performance, availability, security, and reliability.
  • Partner with the DBA team to implement industry best practices and ensure adherence to established standards.
  • Design, build, and maintain ETL pipelines, data models, and integrations to support efficient data movement across systems.
  • Manage and optimize data warehouse operations to ensure accurate, reliable, and timely data for reporting and analytics.
  • Oversee data lake operations, ensuring compliance with data governance, security, and accessibility standards.
  • Collaborate with business and IT stakeholders to understand data needs and align data solutions to organizational goals.
  • Assess data integrity, high availability, security, and privacy to ensure strong data management practices.
  • Review database designs, structures, and implementation plans, and support enhancements to active applications, scripts, and procedures.
  • Oversee project communication, timelines, and deliverables, ensuring work is completed on time and within scope.

Your Wellness Is Our Focus
  • Medical, dental, and vision coverage for employees and dependents
  • Employee Assistance Programs with a strong focus on mental health
  • 24/7 access to a licensed therapist
  • Wellness programs with employee perks
  • Onsite Fitness Center and Medical Clinic

Financial Wellbeing
  • Generous 401(k) matching retirement plan
  • Pre-tax savings options including HSA and FSA
  • Tuition assistance
  • Financial wellness resources through our Employee Assistance Program
  • Earning potential up to $115,000

Flexibility & Time Off
  • Paid time off including vacation, sick leave, parental leave, holidays, and disability leave

Qualifications
What You'll Need
  • Associate degree in Computer Science, Information Systems, Data Engineering, or a related field required; Bachelor's degree strongly preferred.
  • 3+ years of experience in database administration, data engineering, or related roles, including hands-on experience with data pipelines, data warehouses, and database platforms, or an equivalent combination of education and experience.
  • Strong analytical and problem-solving skills with the ability to lead technical initiatives and manage cross-functional work.
  • Excellent communication and collaboration skills, with the ability to translate business needs into effective data solutions.

Technical Skills
  • Experience with Microsoft SQL Server and Azure SQL Database.
  • Hands-on experience with Azure Data Warehouse, Azure Data Lake, Azure Blob Storage, and Azure Data Factory.
  • Knowledge of database backup and recovery, security and encryption, data archival, and data masking techniques.
  • Familiarity with data warehouse architecture, design principles, and data modeling.
  • Ability to lead by example through direct technical contribution.

Our Promise to You
At Atlas, we want you to grow your career - not just fill a role. We invest in our people through:
  • Free online training via a modern learning and development platform
  • A company-wide mentorship program
  • Internal employee organizations
  • Tuition reimbursement and continuous learning opportunities

Atlas Van Lines is an Equal Opportunity Employer, including Veterans and individuals with disabilities.
Benefits may vary by position and/or office location.
*The salary range shown is a good-faith estimate of what we expect to offer for this role, with actual compensation determined by skills, experience, and job-related factors.