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Data Operations Jobs in Indiana (NOW HIRING)

Pwc

MDM Senior Architect-Director

Indianapolis, IN · On-site

$155K - $410K/yr

Those in data quality and operations at PwC will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve ...

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Data Operations information

See Indiana salary details

$49.5K

$122.3K

$190.3K

How much do data operations jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data operations in Indiana is $122,300.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $155,600.00 per year, depending on experience, location, and employer.

What is a Data Operations job?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does Data Operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

What are the key skills and qualifications needed to thrive in the Data Operations position, and why are they important?

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Indiana? The most popular types of Data Operations jobs in Indiana are:
What are popular job titles related to Data Operations jobs in Indiana? For Data Operations jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Operations jobs in Indiana look for? The top searched job categories for Data Operations jobs in Indiana are:
Data Operations jobs near you
Infographic showing various Data Operations job openings in Indiana as of May 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,300 per year, or $58.8 per hour.
Data Automation & ETL Engineer

Data Automation & ETL Engineer

Elements Financial

Indianapolis, IN • On-site

$79K - $119K/yr

Full-time

Posted 26 days ago

Job description



This is an exciting opportunity to join our high-growth innovative team. but first, here is a little bit about Elements Financial:


WE MAKE MONDAYS MORE ENJOYABLE.


There are many ways to describe the Elements culture: fun, meaningful, supportive, and full of opportunities. See here for more information - https://www.elements.org/careers/our-culture/


Today we serve the employees of 150+ organizations around the U.S. We currently rank among the top 3% of credit unions nationally with 100,000+ members. We have the resources, staff, and expertise to support our members with unparalleled service and leading-edge technology.


Now let's get into this exciting role!

This is a hybrid role that requires some on-site work (inside our Indianapolis, Indiana office). In addition to the on-site duties, there are additional responsibilities that can be completed outside of the office, resulting in this being a hybrid role.

Elements Financial is a Best Place to Work because our employees are empowered to Be the Expert, Live the Purpose, and Grow the Business. Our Purpose is to Empower Members to Achieve Financial Success. This position designs, builds, and supports reliable ETL pipelines and automated data workflows that enable analytics, reporting, and operational data needs. This role ensures data is accurately ingested, transformed, validated, and delivered across platforms in a consistent and scalable way.

You will learn how to be the expert to best serve our members:

  • Design, build, and maintain ETL processes that move data from source systems into analytical and reporting platforms.
  • Support and enhance existing Power Automate processes.
  • Develop and support SQL-based transformations, validations, and data preparation logic.
  • Automate data workflows, including scheduling, dependencies, monitoring, and notifications, to reduce manual effort and operational risk.
  • Support file-based, database-based, and API-driven data integrations.
  • Maintain and enhance automated data pipelines to ensure high availability, accuracy, and data integrity.
  • Act as a trusted technical resource for data movement, automation, and operational data workflows.


You will make a difference as you live out our purpose:

  • Evaluate, implement, and support data integration and automation tools with a focus on reliability, scalability, and data quality.
  • Partner with Data Engineering, BI, and business stakeholders to understand data requirements and translate them into reliable ETL workflows.
  • Support large data requests and operational data processes requiring detailed data collection, transformation, and validation.
  • Assist with troubleshooting data pipeline failures and participate in root-cause analysis and resolution.
  • Coordinate with IT and platform teams to support upgrades, enhancements, and best practices for tools and systems in use.
  • Perform other duties as assigned.


You will help grow the business:

  • Research and provide data from enterprise systems to support organizational initiatives and operational needs.
  • Improve the efficiency and reliability of data delivery through automation and standardized processes.
  • Influence cross-functional partners to improve data quality, data integration, and operational consistency.
  • Identify opportunities to reduce recurring data issues through better ETL design and automation.


You will continue to grow professionally:

  • Continue to develop knowledge of data integration, ETL practices, and automation technologies.
  • Participate in appropriate learning and networking opportunities to maintain and expand technical expertise.
  • Research and learn new technologies and tools that can improve data reliability, automation, and operational efficiency within Data & Analytics.


Minimum Requirements:

  • Bachelor’s Degree in Information Systems, Informatics, Computer Science, Data Science, or a related field.
  • 5+ years of relevant experience in data-focused roles involving ETL, data integration, or data operations.
  • Strong proficiency in SQL, including writing and optimizing queries, joins, transformations, and validation logic, including the ability to read, interpret, and troubleshoot complex scripts.
  • Proficiency with automation or orchestration using Power Automate.
  • Familiarity with Microsoft Fabric suite of data tools (Power BI, SharePoint, Data Factory).
  • Familiarity with enterprise ETL tools such as Informatica; experience building or supporting ETL / ELT pipelines in a production environment.
  • Familiarity with supporting file-based integrations (SFTP, SharePoint, cloud storage); familiarity with working with APIs.
  • Exposure to modern data platforms (Azure SQL, Synapse, Fabric, or similar).
  • Excellent analytical problem-solving skillset committed to ethical use of data.
  • Strong written and verbal communication skills.
  • Self-directed – works well independently and with cross-functional teams.

Additional bonus compensation is earned in this role.