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Sr Data Engineer Jobs in Indiana (NOW HIRING)

Elanco

Senior Data Scientist

Indianapolis, IN · On-site

Your Role: As a Senior Data Scientist at Elanco, you will be a key driver of innovation and ... Programming Proficiency: Strong programming skills in Python or R, with expertise in data ...

LeoForce

Senior Manager Data Analytics

Watson, IN · On-site

$170 - $200/hr

Experience Senior Level Salary $170,000 - $200,000 per year Job Details We are seeking a hands‑on ... This is an ideal opportunity for someone who has grown from a technical IT or data engineering ...

Circle K

Senior Manager Data Architecture

Columbus, IN · On-site

$62.50 - $83.75/hr

Sr. Manager, Data Architecture About Circle K Circle K is a global leader in convenience and fuel ... Join our Global Data Engineering, Architecture and Enablement team and help build the foundation ...

Vergence

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

Vergence is seeking a Senior Azure Data Engineer to help design, build, and operate our next-generation enterprise data platform on Microsoft Azure. You will own end-to-end delivery of data pipelines ...

Tire Rack

Sr. Manager, Data Engineering

South Bend, IN · On-site

Sr. Manager, Data Engineering Location: Tire Rack - South Bend, IN Department: Information Technology Employment Type: Full-Time, Exempt Schedule: Monday-Friday, typically 8:00 a.m.-5:00 p.m. About ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Indiana

Sr Data Engineer information

See Indiana salary details

$77.1K

$120.2K

$166.5K

How much do sr data engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for sr data engineer in Indiana is $120,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,900.00 and $137,000.00 per year, depending on experience, location, and employer.

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

What are the key skills and qualifications needed to thrive as a Sr data engineer, and why are they important?

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

What is the difference between Sr Data Engineer vs Data Engineer?

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

What are popular job titles related to Sr Data Engineer jobs in Indiana?

For Sr Data Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Sr Data Engineer jobs in Indiana look for?

The top searched job categories for Sr Data Engineer jobs in Indiana are:

What cities in Indiana are hiring for Sr Data Engineer jobs?

Cities in Indiana with the most Sr Data Engineer job openings:

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Indiana as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $120,209 per year, or $57.8 per hour.

Senior Data Scientist

Indianapolis, IN • On-site

Corteva Agriscience
Crop Farming • 10K+ employees
Learn more about Corteva Agriscienceexternal

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Who are we, and what do we do?
At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind.
We are seeking a highly skilled Senior Data Scientist with experience in bioprocess control to join our global Data Science team. This role will focus on applying artificial intelligence, machine learning, and statistical modeling to develop adaptive bioprocess control algorithms, optimize bioprocess workflows, improve operational efficiency, and enable data-driven decision-making in manufacturing and R&D environments.
What You'll Do:
  • Design and implement adaptive process control strategies, leveraging online measurements and dynamic parameter adjustment for improved productivity and cost savings.
  • Develop and deploy predictive models for bioprocess optimization, including fermentation and downstream processing.
  • Partner with engineers and scientists to translate process insights into actionable improvements, such as yield enhancement and cost reduction.
  • Analyze high-complexity datasets from bioprocess operations, including sensor data, batch records, and experimental results.
  • Collaborate with cross-functional teams to integrate data science solutions into plant operations, ensuring scalability and compliance.
  • Communicate findings through clear visualizations, reports, and presentations to technical and non-technical stakeholders.
  • Contribute to continuous improvement of data pipelines and modeling frameworks for bioprocess control.

What Skills You Need:
  • M.S. + 6 years' experience or Ph.D. + 3 years' experience in Data Science, Computer Science, Chemical Engineering, Bioprocess Engineering, Statistics, or related quantitative field.
  • Strong foundation in machine learning, statistical modeling, and process control.
  • Proficiency in Python, R, or another programming language.
  • Excellent communication and collaboration skills; ability to work in multidisciplinary teams.

Preferred Skills:
  • Familiarity with bioprocess workflows, fermentation, and downstream processing.
  • Hands-on experience with bioprocess optimization models and adaptive process control strategies.
  • Experience with industrial data systems and cloud platforms.
  • Knowledge of reinforcement learning or adaptive experimentation / Bayesian optimization for process improvement.

Why Join Us?
You will be part of a globally distributed team driving innovation in bioprocess optimization and manufacturing excellence. This role offers opportunities to work on cutting-edge projects that directly impact productivity, sustainability, and cost efficiency.
#LI-BB1
Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

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