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Sr Data Engineer Jobs in Indiana (NOW HIRING)

RADcube

AWS Data Engineer Databricks

Indianapolis, IN · On-site

$109K - $131K/yr

Senior AWS Data Engineer Location: Indianapolis, IN Role Overview We are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative . This role focuses on ...

Humana

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance ... Experience working with report developers, partners, and external vendors. * Proficiency with data ...

Humana

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

The Senior Data Manager will lead efforts to evolve reporting from a manual quality assurance ... Experience working with report developers, partners, and external vendors. * Proficiency with data ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... programming, along with the ability to translate complex findings into clear business ...

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 ...

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 ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Our clients span the public and private sectors, and our work - from data strategy and engineering to workforce transformation - improves lives across Indiana and beyond. We're seeking talented ...

CSpring

Senior Data Consultant

Indianapolis, IN · On-site

We have an immediate opening for a Senior Data Consultant. If the idea of working on challenging ... Capture business requirements, convert them to user stories or developer requirements, and ...

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Showing results 41-60

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 Aug 11, 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 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 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.

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 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.
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, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $120,209 per year, or $57.8 per hour.

Senior Data Scientist

Elanco Animal Health Incorporated

Indianapolis, IN • On-site

Full-time

Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Elanco rating

7.8

Company rating: 7.8 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

51st of 86 rated pharmaceutical

Job description

At Elanco (NYSE: ELAN) - it all starts with animals!
As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose - all to Go Beyond for Animals, Customers, Society and Our People.
At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you'll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.
Making animals' lives better makes life better - join our team today!
Your Role: Senior Data Scientist
We are seeking a highly motivated and experienced Senior Data Scientist to join our Enterprise Analytics and Governance organization. This role is critical in transforming complex data into strategic insights and scalable solutions that drive business value. The ideal candidate will combine strong expertise in advanced analytics, operations research, and AI/ML with the ability to translate ambiguous business challenges into impactful, production-ready solutions.
Your Responsibilities:
  • Lead end-to-end data science initiatives - from problem definition and data exploration to deployment of scalable, production-grade solutions.
  • Apply advanced modeling techniques, including machine learning, deep learning, statistical methods and operations research (e.g., optimization, simulation), to solve complex business problems.
  • Partner with cross-functional business stakeholders to translate strategic objectives into actionable analytical solutions.
  • Design and develop robust data pipelines and models leveraging platforms such as Databricks, Azure Synapse, and SAP.
  • Build and maintain interactive dashboards and data products using Databricks dashboard, Power BI or Tableau to enable real-time decision-making.
  • Implement best practices in software engineering, including modular code design, testing, version control, and CI/CD pipelines.
  • Ensure model transparency, explainability and interpretability using Explainable AI (XAI) approaches.
  • Monitor, evaluate, and optimize model performance in production environments, including establishing observability and feedback loops.
  • Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
  • Provide technical leadership and mentorship to junior team members.

What You Need to Succeed (Minimum Qualifications):
  • Education/Required Experience: PhD in Statistics, Data Science, Computer Science, Operations Research or a related STEM field with 2+ year of experience, OR Master's degree with 5+ years of relevant experience.
  • Strong expertise in machine learning, deep learning, statistics and/or optimization.
  • Advanced proficiency in Python (and /or R), SQL, with experience building and maintaining data pipelines in Databricks or similar environments.
  • Solid foundation in software engineering best practices, including Git, unit and integration testing, CI/CD and model deployment capabilities.
  • Proficiency in data visualization tools such as Power BI, Tableau or Databricks Dashboard.
  • Proven ability to deploy and manage high-performance models in production environments using machine learning ops tools and technologies.

What Will Give You the Competitive Edge (Preferred Qualifications):
  • Experience building end-to-end observability frameworks, including model monitoring, drift detection, and business performance tracking.
  • Familiarity with Natural Language Processing, Generative AI techniques (e.g., LLMs, RAG architectures, AI Agents).
  • Experience working with large-scale enterprise data platforms and cloud ecosystems (Azure, AWS, GCP).
  • Demonstrated ability to operate effectively in ambiguous, fast-paced environments.

Additional Information:
  • Location: Indianapolis, IN Global HQ (Hybrid Environment)
  • Travel: Minimal

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!
Elanco Benefits and Perks:
We offer a comprehensive benefits package focusing on financial, physical, and mental well-being while encouraging our employees to pursue our purpose! Some highlights include:
  • Multiple relocation packages
  • Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
  • 8-week parental leave
  • 9 Employee Resource Groups
  • Annual bonus offering
  • Flexible work arrangements
  • Up to 6% 401K matching

Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job-related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.

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