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Data Operations Engineer Jobs in Indiana (NOW HIRING)

Wolters Kluwer

Lead DevOps Engineer

Indianapolis, IN · On-site

$50.50 - $69/hr

... s Engineer, you will be responsible for leading the design and implementation of the infrastructure ... data systems * Strong background in software development, with experience in languages such as ...

CMP.jobs

Sr DevOps Engineer

Indianapolis, IN · Remote

$123K - $158K/yr

... s Engineer 100% Remote Position We have built a cloud-based policy administration platform over the ... data privacy standards/regulations

INCOG

TSMS Operations Engineer, 2nd shift

Fishers, IN · On-site

$65K - $88K/yr

... Process Data during manufacturing operations and escalate deviations or concerns to senior ... Engineering required - 1-2 years of drug product manufacturing experience preferred - Strong ...

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All JobsData Operations Engineer JobsData Operations Engineer Jobs in Indiana

Data Operations Engineer information

See Indiana salary details

$34.3K

$80.9K

$128.5K

How much do data operations engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data operations engineer in Indiana is $80,910.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $89,400.00 per year, depending on experience, location, and employer.

What is the difference between Data Operations Engineer vs Data Analyst?

AspectData Operations EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Data Analyst
Work EnvironmentData engineering teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization platforms
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing firms, finance, consulting, retail
Common Search & Comparison IntentUnderstanding technical differences, job roles, skillsData analysis tasks, reporting, insights generation

The Data Operations Engineer focuses on building and maintaining data infrastructure, pipelines, and ensuring data quality, often working with cloud platforms and scripting. In contrast, a Data Analyst primarily interprets data, creates reports, and provides insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What are the key skills and qualifications needed to thrive as a data operations engineer?

To thrive as a Data Operations Engineer, you need a solid understanding of data management, ETL processes, and database systems, typically supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms, and cloud services (AWS, Azure, or GCP) as well as certifications such as AWS Certified Data Analytics are often required. Strong problem-solving, attention to detail, and effective communication skills help you manage complex data workflows and collaborate with cross-functional teams. These skills ensure data integrity, optimize performance, and enable seamless data-driven decision-making across the organization.

What are some common challenges faced by data operations engineers when working with large-scale data pipelines?

Data Operations Engineers often encounter challenges such as maintaining data quality, ensuring pipeline reliability, and managing system scalability as data volumes grow. Troubleshooting failures in real-time data flows and coordinating with data engineering and analytics teams to address bottlenecks are also common tasks. Additionally, adapting to evolving technologies and implementing automation for routine maintenance can be demanding but are crucial for efficient operations.
What are popular job titles related to Data Operations Engineer jobs in Indiana? For Data Operations Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Operations Engineer jobs in Indiana look for? The top searched job categories for Data Operations Engineer jobs in Indiana are:
Data Operations Engineer jobs near you
Infographic showing various Data Operations Engineer job openings in Indiana as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $80,910 per year, or $38.9 per hour.

Data Operations Engineer

Purdue Research Foundation

West Lafayette, IN • On-site

$102K - $123K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago

Job description

Data Operations Engineer
Department: IT
Employment Type: Full Time
Location: Purdue for Life Foundation
Description
This is a Hybrid position with requirements to live within reasonable driving distance (within 1 hour) of West Lafayette, Indiana.
Working for the Purdue For Life Foundation offers a unique opportunity to be part of an organization dedicated to empowering Purdue University alumni and fostering a lifelong connection to the institution. By joining our team, you'll have the chance to contribute to a mission that supports educational initiatives, scholarships, and programs that positively impact the lives of Purdue students and graduates. The Foundation's commitment to education and community engagement provides a fulfilling work environment where you can make a meaningful difference in the lives of individuals and the broader community. Additionally, you'll have access to a network of passionate colleagues and the resources needed to drive positive change, making the Purdue For Life Foundation an inspiring and rewarding place to build your career. Your next giant leap starts here.
Responsibilities
  • Design and implement scalable data pipelines and integration frameworks that enable reliable data exchange across campus systems, cloud platforms, third-party applications, and APIs.
  • Manage medium to large data initiatives, coordinating activities across teams and ensuring solutions support departmental objectives.
  • Implement and enhance established standards for data integration, automated validation, and data quality.
  • Maintain and improve monitoring practices that improve pipeline reliability and deliver dependable, scalable data solutions.
  • Analyze complex data challenges, identify root causes, and implement solutions that improve overall data ecosystem performance.
  • Improve enterprise data workflows through performance tuning and automation.
  • Promote reliable operations through continuous improvement and operational best practices.
  • Partner with business and technical stakeholders to align data solutions with strategic objectives and ensure data is accessible, trusted, and actionable.
  • Support data governance by implementing standards and promoting consistent data management practices.
  • Provide technical leadership for enterprise data engineering and operations initiatives.
  • Guide and mentor team members by providing coaching, reviewing work, and supporting skill development across the function.
  • Develop and maintain documentation for data architecture, integration workflows, metadata, and operational procedures.
  • Evaluate and recommend tools, technologies, and architectural approaches to enhance data capabilities and operational effectiveness.
  • Exercise independent judgment in selecting methods and approaches for new assignments, ensuring alignment with departmental priorities.
  • Perform other duties as needed.

Required Skills, Knowledge and Abilities
  • Deep understanding of data warehousing and large-scale data processing.
  • Strong understanding of enterprise data architecture principles.
  • Strong programming and scripting skills (e.g., Python, Shell).
  • Ability to evaluate complex systems and recommend effective, scalable architectural solutions.
  • Strong knowledge of enterprise data governance and data quality practices.
  • Demonstrated ability to manage medium to large cross-functional projects and coordinate successful delivery across teams.
  • Ability to translate strategic objectives into technical solutions and actionable plans.
  • Excellent communication skills, with the ability to collaborate effectively with technical and non-technical stakeholders across the organization.
  • Build collaborative relationships across functional teams to coordinate data operations efforts and support successful project delivery.
  • Strong organizational and problem-solving skills, with the ability to manage competing priorities in a dynamic environment.

Required Education, Experience and Benefits Summary
  • Minimum of 5 years' experience working with enterprise data integration, ETL/ELT development, data pipelines, and data platforms.
  • Bachelor's degree required.
  • Advanced proficiency in SQL and strong experience with complex data structures, relational and dimensional modeling.
  • Advanced experience designing and implementing scalable ETL/ELT pipelines and data integration frameworks.
  • Experience with cloud-based data platforms, such as Snowflake.
  • Experience automating data workflows and integrating enterprise APIs. (Salesforce CRM preferred)
  • Experience with metadata management and data privacy principles.

Job Level: Professional 4 IT
*Purdue For Life Foundation job levels and compensation ranges are independent of, and differ from, those of Purdue University.
Benefits Summary for eligible employees:
  • 10 paid holidays per year.
  • Accrue up to 22 vacation days a year.
  • Traditional pre-tax 403(b) and Roth retirement plans available.
  • 10% employer contribution to your retirement plan and immediate vesting.
  • Health Savings Account- earn up to $700 annually towards medical expenses.
  • Employer funded Preventative Dental and Vision insurance.
  • Tuition discounts on eligible programs at Purdue University and Purdue Global for qualified employees, spouses, and dependents.

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