Senior CE Data Engineer

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.

Organization Overview

Lilly CIA powers the enterprise with governed, AI-ready data products, a converged semantic layer, and the identity and policy infrastructure behind Lilly's digital experiences. Within CIA, the LillyDirect Covered Entity (CE) Pharmacy pod builds and operates the data platform that sits inside the pharmacy's covered-entity trust boundary — handling identified PHI under HIPAA with strict isolation from parent-side systems. This role implements that platform on Databricks.

Position Summary

The CE Data Engineer builds and operationalizes the CE Pharmacy data platform on Databricks — implementing the medallion pipelines, data contracts, identity crosswalk logic, and isolation controls that the CE Data Architect designs. This is a hands-on engineering role: writing production pipelines, evaluating and applying Databricks capabilities and integration patterns, and holding the line on data quality, testing, and monitoring so the platform is reliable, auditable, and built to scale. Works in close, day-to-day partnership with the CE Data Architect and the Associate Director of CE Data Engineering — turning architectural intent into running code — and with Analytics Engineers and the DataHub Product Owner to ship governed data products.

Key Responsibilities

• Design and build scalable, efficient Databricks pipelines implementing the CE Architect's canonical data models across the medallion (bronze → silver → gold), scoped entirely within the CE trust boundary.
• Evaluate and apply Databricks capabilities and integration patterns — Unity Catalog, Delta Lake, Databricks Workflows, serverless compute, Lakebase, ingestion connectors — selecting the right tool for each pipeline given performance, cost, and scalability constraints.
• Implement the identity crosswalk and PHI classification logic defined by the CE Architect (Reltio MDM, Auth0/Passport, Datavant tokens, Scriptly, Genesys, Prescryptive, Transcend), safeguarding merge/split integrity in code.
• Build to ODCS data contracts — implement schema, quality, freshness/SLA, and lineage requirements as enforced pipeline logic, not documentation.
• Implement row/column-level security, masking, and tokenization boundaries so PHI isolation is enforced at the platform layer, in partnership with the Policy-as-Code Engineer's OPA/Rego policies.
• Own end-to-end pipeline development lifecycle — requirements to prototyping to production deployment and maintenance — for CE data products, in partnership with Analytics Engineers and the DataHub Product Owner.
• Build and maintain CI/CD pipelines (Github Actions [CI], Git-based promotion dev → test → prod) for CE data, contract, policy, and agent artifacts.
• Automate data ingestion and product creation to reduce manual pipeline maintenance and onboarding time for new CE data sources.
• Partner with the CE Data Architect on reference architecture and patterns, providing implementation feedback that keeps designs buildable and performant at scale.
• Build the data pipelines that lets CE Skills and agents consume governed data — ensuring PHI classification and consent travel with the data into agentic consumption paths.
  
  
  

Basic Requirements

• Bachelor's degree in Computer Science, Engineering, Information Technology, or similar degree.
• Experience in data engineering, with a focus on building production data pipelines and data products.
• Advanced SQL and Python; hands-on Databricks / Unity Catalog fluency (notebooks, Delta Lake, catalog/schema/grants, Workflows).
• Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.
  
  
  

Additional Skills / Preferences

• Experience defining and executing data ingestion pipelines at enterprise scale.
• Working knowledge of data governance, classification, and access control (RBAC/ABAC, row- and column-level security).
• Proficiency with Git-based CI/CD workflows (Git Actions or equivalent) for versioned data and pipeline artifacts.
• Excellent problem-solving skills; ability to translate architectural designs into working, tested pipelines.
• Good communication and collaboration skills — able to work effectively with architects, product owners, and multi-functional partners.
• Experience in regulated or healthcare data environments; familiarity with HIPAA, PHI handling, and covered-entity constructs.
• Data contract frameworks (ODCS or comparable) and policy-as-code (OPA/Rego) awareness.
• Tokenization / de-identification pattern implementation (Datavant or comparable).
• PySpark and transformation-as-code (DLT); test frameworks (pytest, DQX / Great Expectations).
• Infrastructure-as-code (Terraform) for provisioning Unity Catalog objects and grants.
• MDM / identity resolution implementation experience (Reltio or comparable).
• Experience with Agile/Scrum methodologies and Jira.
• Experience building or integrating AI Skills and agents against governed data platforms.
  
  
  

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

$63,000 - $149,600

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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