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Senior Data Engineering Jobs in Indiana (NOW HIRING)

EXOS

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Troubleshoot and optimize performance across data systems Required Qualifications: * 3-7+ years of experience in data engineering or data development * Strong hands-on experience with: * Databricks

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Senior Data Engineer (in person)

Westfield, IN

$101K - $138K/yr

At SEP, we're building that foundation -- and we're looking for a Senior Data Engineer who's ready ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

SEP

Senior Data Engineer (in person)

Westfield, IN · On-site

$101K - $138K/yr

At SEP, we're building that foundation - and we're looking for a Senior Data Engineer who's ready ... Experience with analytics engineering tools like dbt and data catalog tools (Unity Catalog ...

Circle K

Senior Manager Data Architecture

Columbus, IN

$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 ...

Pwc

Data Engineer - Senior Manager

Indianapolis, IN

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

RADcube

Senior Data Architect

Indianapolis, IN · On-site

$64.25 - $86/hr

AWS Data Architect - Databricks Hybrid - Indianapolis, IN About the Role We are seeking a Data ... This is a senior-flavored engineering role that combines hands-on pipeline and platform work with ...

New

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

... Work with senior data analyst to establish data governance Non-Essential Duties and ... systems, engineering, or related field. 2 to 5 years' experience as a data engineering role ...

Dmainc

Data Engineer

Indianapolis, IN · Hybrid

$109K - $131K/yr

... Work with senior data analyst to establish data governance Non-Essential Duties and ... systems, engineering, or related field. 2 to 5 years' experience as a data engineering role ...

Humana

Sr Data Manager - IN Medicaid

Indianapolis, IN · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

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

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often have expertise in tools like SQL, Python, and cloud platforms, which can influence compensation levels.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What are the most commonly searched types of Data Engineering jobs in Indiana?

The most popular types of Data Engineering jobs in Indiana are:

What are popular job titles related to Senior Data Engineering jobs in Indiana?

For Senior Data Engineering jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Senior Data Engineering jobs in Indiana look for?

The top searched job categories for Senior Data Engineering jobs in Indiana are:

What cities in Indiana are hiring for Senior Data Engineering jobs?

Cities in Indiana with the most Senior Data Engineering job openings:

Senior Data Engineering jobs near you
Infographic showing various Senior Data Engineering 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 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Principal Data Engineer - Lakehouse Architecture

Eli Lilly and Company

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Eli Lilly and Company rating

8.8

Company rating: 8.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

11th of 86 rated pharmaceutical

Job description

At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work-but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.
Tech at Lilly is seeking a highly skilled Senior Data Engineer who can implement and optimize large-scale Lakehouse solutions and drive the evolution of our modern data platform while providing technical leadership to a growing team. The ideal candidate will have hands-on experience with modern data engineering technology stack and a proven track record of leading engineering talent in fast-paced environments.
What you will be doing
  • Design and implement comprehensive Lakehouse architecture solutions using technologies like Databricks and Snowflake platforms

  • Define and carry out medallion architecture standards (Bronze / Silver / Gold) across data domains, ensuring data quality, lineage, and discoverability

  • Lead Unity Catalog governance design: schemas, access control policies, and data contracts

  • Build and maintain real-time and batch data processing systems using Apache Spark (PySpark/Scala), Kafka, and Databricks Structured Streaming, and similar technologies

  • Architect scalable data pipelines that handle structured, semi-structured, and unstructured data to deliver AI ready data.

  • Develop data transformation workflows using tools like DBT, Airflow, or Databricks

  • Implement data governance frameworks, including data quality monitoring, lineage tracking, data time travel and security protocols.

  • Build data pipeline testing frameworks: unit tests, data quality assertions (Great Expectations / dbt tests), and schema validation

  • Define and publish data SLAs/SLOs in collaboration with data product owners; own incident response and root-cause analysis for pipeline failures

  • Drive adoption of modern data engineering standard processes including Infrastructure as Code, CI/CD, and automated testing

  • Collaborate with data scientists, analysts, and business collaborators to translate requirements into robust technical solutions

  • Mentor a team of 3-5 data engineers

  • Foster a collaborative team culture focused on continuous learning and innovation

How You Will Succeed
  • Proven ability to mentor junior engineers and facilitate knowledge sharing

  • Strong project management skills with experience leading multi-functional initiatives

  • Coordinate multi-functional projects and ensure effective communication between technical and business teams

  • Demonstrated ability to make architectural decisions and drive technical consensus

  • Embrace a growth mindset and actively seek opportunities to expand your leadership capabilities and technical mastery

What You Should Bring
  • Knowledge in the pharmaceutical or life sciences domain
  • Experience with streaming data technologies (Kafka,Databricks Structured Streaming)

  • Familiarity with data cataloging tools

  • Familiarity with high performance data service framework (Arrow Flight)

  • Expert-level proficiency in Python and SQL for data transformation and pipeline development

  • Strong experience with Apache Spark (PySpark or Scala) for big data processing and analytics

  • Hands-on experience with cloud platforms (AWS or Azure) and their data services, including S3, Glue, Redshift, IAM, and CloudWatch

  • Proficiency with Infrastructure as Code tools (CloudFormation)

  • Experience with containerization (Docker, Kubernetes) and orchestration platforms

  • Knowledge of data modeling techniques for both analytical and operational workloads

  • Hands-on expertise with Databricks: clusters, Delta Lake, Unity Catalog, Workflows, and MLflow integration

  • Understanding of data governance, security, and compliance requirements including GxP, HIPAA, or GDPR data frameworks in regulated industries

  • Experience orchestrating pipelines with Apache Airflow

  • Strong command of dbt for modular, tested, and version-controlled transformations

  • Familiarity with data quality testing frameworks such as Great Expectations or dbt tests for schema validation

  • Experience with data observability: freshness, volume, schema drift, and anomaly detection (Databricks Lakehouse Monitoring or equivalent)

  • Familiarity with open table format interoperability: Delta Sharing or Apache Iceberg

  • Knowledge of DataOps practices and data mesh / data product principles

  • Exposure to ML platform integration: MLflow experiment tracking, feature stores, or model serving

Your Basic Qualifications
  • Master's degree in computer science, Engineering, or related technical field

  • 3+ years of hands-on experience with Lakehouse architectures (Databricks, Snowflake, or similar)

  • 7+ years of overall data engineering experience with large-scale distributed systems, including at least 3 years in a senior or lead capacity

Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL).
Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is
$132,000 - $244,200
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
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About Eli Lilly

Sourced by ZipRecruiter

Eli Lilly, based in Indianapolis, IN, US, is one of the pioneers in the pharmaceutical industry with a rich history dating back to 1876. This global pharmaceutical company focuses on discovering, developing, manufacturing and selling pharmaceutical products in approximately 120 countries. The company's product categories include endocrinology, oncology, cardiovascular, neuroscience, and immunology. Having invested over $9 billion in research and development in the past decade, Eli Lilly is also committed to creating high-quality medicines that meet real needs. As a recipient of several awards and recognitions, Eli Lilly is known for its focus on life-saving research and drug development. Their mission is to make medicines that help people live longer, healthier, and more active lives.

Industry

Pharmaceutical product wholesalers

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

1876

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