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Data Operations Engineer Jobs in Indiana (NOW HIRING)

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 ...

New

INCOG

TSMS Operations Engineer, 3rd 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 ...

New

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

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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 Jul 17, 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 does a data operations engineer do?

A data operations engineer manages and maintains data pipelines, ensuring data is collected, processed, and stored efficiently and accurately. They often work with tools like SQL, Python, and cloud platforms to automate data workflows, troubleshoot issues, and optimize data systems for analytics and reporting.

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 engineers make $300,000 a year?

Senior data operations engineers, especially those with extensive experience, advanced skills in data management, automation, and cloud platforms, can earn $300,000 or more annually. High compensation often depends on factors such as location, industry, certifications, and the complexity of data systems managed.

Can I make 200K as a data engineer?

Data engineers can earn $200,000 or more annually, especially with experience, advanced skills in cloud platforms, big data tools, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What are the key skills and qualifications needed to thrive as a Data Operations Engineer, and why are they important?

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 engineers make $500,000?

Senior data operations engineers with extensive experience, advanced skills in data management, automation, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized certifications, leadership roles, and a strong track record of managing complex data systems.

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 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, with an average salary of $80,910 per year, or $38.9 per hour.
TSMS Operations Engineer, 2nd shift

TSMS Operations Engineer, 2nd shift

INCOG BioPharma Services

Fishers, IN • On-site

$156K/yr

Full-time

Posted 5 days ago

New

Job description

Description
TSMS - Operations Engineer
The Technical Services and Manufacturing Sciences (TSMS) Operations Engineer will provide direct technical support to manufacturing operations on the production floor in accordance with current good manufacturing practices (cGMP) for clinical and commercial programs. This role will work closely with manufacturing operators and supervisors to ensure smooth production operations, troubleshoot technical issues, and support process execution as specified.
This is a 2nd shift role, with typical hours from 3:00PM-11:30PM Monday-Friday.
Essential Job Functions:
- Provide real-time technical support to manufacturing operations staff during production activities across all manufacturing areas
- Assist with scaling up and transferring processes into manufacturing by supporting execution of established procedures and protocols
- Support equipment setup, operation, and troubleshooting under guidance of senior technical staff
- Review and assist with GMP manufacturing documentation including Batch Records, Processing Forms, and standard operating procedures
- Monitor Process Data during manufacturing operations and escalate deviations or concerns to senior technical staff
- Assist with technical troubleshooting of routine process issues and support root cause analysis activities under supervision
- Support Process Performance Qualification and Continuous Process Verification activities by collecting data and assisting with documentation
- Participate in cross-functional teams to support manufacturing operations and process improvements
- Assist with impact assessments of minor changes to processes, equipment, or procedures under supervision
- Support training and development of manufacturing operations staff on technical procedures and best practices
- Maintain detailed records of technical support activities and communicate findings to senior technical staff
- Ensure all activities comply with cGMP regulations, company SOPs, and safety requirements
- Other responsibilities as required
Special Job Requirements:
- Bachelor's degree in Science or Engineering required
- 1-2 years of drug product manufacturing experience preferred
- Strong technical aptitude and problem-solving skills
- Excellent communication skills for working with manufacturing operations teams
- Ability to work in a fast-paced manufacturing environment
- Basic understanding of pharmaceutical manufacturing processes and cGMP requirements
- Proficiency in Microsoft Office applications and basic data analysis

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