Eli Lilly and Company · 5 hours ago
Data Engineer
US, Indianapolis IN
Full-time
Onsite
Mid, Senior Level
$64K/yr - $185K/yr
2+ years expEli Lilly and Company is a global healthcare leader headquartered in Indianapolis, Indiana. They are seeking a Data Engineer responsible for designing, developing, and maintaining data solutions to ensure data availability and quality for analysis and business transactions.
BiotechnologyHealth CareMedicalPharmaceutical
No H1B
Responsibilities
Design, build, and maintain scalable and reliable data pipelines for batch and real-time processing
Own incident response and resolution, including root cause analysis and post-mortem reporting for data failures and performance issues
Develop and optimize data models, ETL/ELT workflows, and data integration across multiple systems and platforms
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions
Implement data governance, security, and quality standards across data assets
Lead end-to-end data engineering projects and contribute to architectural decisions
Design and implement cloud-native solutions on AWS (preferred) using tools such as AWS Glue, EMR, and Databricks. Experience with Azure or GCP is a plus
Promote best practices in coding, testing, and deployment
Monitor, troubleshoot, and improve performance and reliability of data infrastructure
Automate manual processes and identify opportunities to optimize data workflows and reduce costs
Qualification
Required
Bachelor's degree
At least 2 years of experience in data engineering using core technologies such as SQL, Python, PySpark, and AWS services including Lambda, Glue, S3, Redshift, Athena, and IAM roles/policies
1+ years of experience working in Agile environments, with hands-on experience using GitHub and CI/CD pipelines for code deployment
1+ years of experience with orchestration tools like Airflow for workflow automation
Proven experience in architecting and building high-performance, scalable data pipelines following Data Lakehouse, Data Warehouse, and Data Mart standards
Strong expertise in data modelling (both OLTP and OLAP), managing large datasets, and implementing secure, compliant data governance practices
Hands-on experience with Databricks, including cluster management, workspace configuration, notebook development, and performance optimization
Qualified candidates must be legally authorized to be employed in the United States. Lilly does not anticipate providing sponsorship for employment visa status (e.g., H-1B, OPT, TN status)
Preferred
Design and implement cloud-native solutions on AWS (preferred) using tools such as AWS Glue, EMR, and Databricks. Experience with Azure or GCP is a plus
Strong proficiency in SQL and Python
Hands-on experience with cloud platforms (AWS, Azure, or GCP) and tools like Glue, EMR, Redshift, Lambda, or Databricks
Deep understanding of ETL/ELT workflows, data modelling, and data warehousing concepts
Familiarity with big data and streaming frameworks (e.g., Apache Spark, Kafka, Flink)
Knowledge of data governance, security, and quality practices
Working knowledge of Databricks for building and optimizing scalable data pipelines and analytics workflows
Experience with CI/CD, version control (Git), and infrastructure-as-code tools is a plus
A problem-solving mindset, attention to detail, and a passion for clean, maintainable code
Strong communication and collaboration skills to work with both technical and non-technical stakeholders
Domain experience in healthcare, pharmaceutical (Customer Master, Product Master, Alignment Master, Activity, Consent etc.), or regulated industries is a plus
Partner with and influence vendor resources on solution development to ensure understanding of data and technical direction for solutions as well as delivery
AWS Certified Data Engineer
Databricks Certified Data Engineer (Associate)
Familiarity with AI/ML workflows and integrating machine learning models into data pipelines
Ability to collaborate with business stakeholders to translate key business requirements into scalable technical solutions
Familiarity with security models and developing solutions on large-scale, distributed data systems
Benefits
Company bonus
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
Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities)
Company
Eli Lilly and Company
We're a medicine company turning science into healing to make life better for people around the world.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$6.5M2024-02-12Post Ipo Debt· $6.5M
1978-01-13IPO
Leadership Team
David Ricks
Chair, CEO
Lucas Montarce
Executive Vice President and Chief Financial Officer
Recent News
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2026-01-25
2026-01-24
2026-01-23
Company data provided by crunchbase