Engineer – Drug Delivery Device Development
Company: Eli Lilly and Company
Location: Indianapolis
Posted on: March 3, 2026
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Job Description:
At Lilly, we unite caring with discovery to make life better for
people around the world. We are a global healthcare leader
headquartered in Indianapolis, Indiana. Our employees around the
world work to discover and bring life-changing medicines to those
who need them, improve the understanding and management of disease,
and give back to our communities through philanthropy and
volunteerism. We give our best effort to our work, and we put
people first. We’re looking for people who are determined to make
life better for people around the world. Organization and Position
Overview: Delivery, Devices, and Connected Solutions (DDCS) sits
within Eli Lilly's Product Research & Development organization. We
are a diverse team of scientists and engineers responsible for
discovering, designing, and developing patient-centric drug
delivery solutions across a broad range of modalities — from
injection devices to novel routes of administration and
nanomedicines. DDCS drives the drug delivery innovation agenda
across early and late development to meet the needs of an expanding
portfolio that spans small molecules, biologics, and nucleic acid
therapeutics. DDCS is organized around a matrix model with strong
disciplinary and functional horizontals supporting innovation and
commercialization verticals. Our vision is to get our medicines to
more patients faster by accelerating reach and scale, guided by
three strategic pillars: Delivery Systems, Robust & Sustainable,
and Patient Experience Outcomes. The Data Engineering function is a
foundational horizontal capability within DDCS's Data Sciences &
Digital Transformation team, responsible for building and
maintaining the data infrastructure that powers scientific
discovery, device innovation, and data-driven decision-making
across both innovation and commercialization verticals. Data
engineers partner with data scientists, AI application engineers,
and scientific ML engineers throughout the DDCS matrix to ensure
data pipelines, architectures, and governance frameworks are
robust, compliant, and purpose-built for the unique demands of
pharmaceutical device development. We are seeking a talented Data
Engineer to join DDCS's data science team. This role is critical in
building and maintaining robust data infrastructure that enables
scientific discovery, device innovation, and data-driven
decision-making across the DDCS matrix. The ideal candidate will
design and implement scalable data pipelines, establish efficient
data management systems, and collaborate closely with data
scientists and AI engineers to accelerate insights and predictive
modeling capabilities—while maintaining rigorous compliance with
GxP and regulated environment standards. Responsibilities: Data
Infrastructure & Pipeline Development Design, build, and maintain
scalable data pipelines to support ingestion, processing, and
transformation of structured and unstructured data from laboratory
instruments, clinical trials, manufacturing systems, and
IoT-enabled medical devices. Develop and optimize ETL/ELT processes
to ensure data quality, consistency, and availability across DDCS
horizontals and program verticals. Implement automated data
validation, monitoring, and alerting systems to ensure pipeline
reliability and data integrity. Create and maintain comprehensive
documentation of data pipelines, workflows, and architecture
decisions. Data Architecture & Systems Management Assess
organizational data needs and conduct data flow mapping across
research, development, manufacturing, and regulatory functions.
Design and maintain data warehouses, data lakes, and data marts
optimized for analytics and machine learning workloads. Identify,
evaluate, and implement suitable data management systems and
storage solutions (cloud-based and on-premises) that meet security,
compliance, and scalability requirements. Establish and enforce
data governance frameworks: data cataloging, metadata management,
and access controls. Monitor and optimize database performance,
query efficiency, and system resource utilization. Implement
disaster recovery and business continuity plans for critical data
systems. Cross-Functional Collaboration & Enablement Partner with
data scientists and AI engineers across the DDCS matrix to
understand data requirements for scientific insights, predictive
modeling, and machine learning applications. Provide technical
expertise and support to enable advanced analytics use cases in
device performance optimization, patient outcomes analysis, and
quality assurance. Translate complex technical concepts to
non-technical stakeholders and gather requirements from
cross-functional teams. Enable self-service data access through
APIs, dashboards, and data visualization tools. Data Quality,
Compliance & Governance Implement data quality frameworks and
validation rules to ensure accuracy, completeness, and reliability
of data assets. Ensure compliance with regulatory requirements (FDA
21 CFR Part 11, GxP, HIPAA) and industry standards for medical
device data management. Maintain audit trails and ensure data
traceability throughout the data lifecycle in support of ALCOA
principles. Innovation & Continuous Improvement Stay current with
emerging technologies and best practices in data engineering, cloud
computing, and big data analytics. Identify opportunities to
improve data infrastructure efficiency, reduce costs, and enhance
capabilities. Contribute to the development of data engineering
standards and best practices within the DDCS data science
horizontal. Basic Requirements: Bachelor's degree (BS) in Computer
Science, Data Science, Information Systems, Engineering, or related
technical field 5 years of professional experience in data
engineering, software engineering, or related technical roles
Demonstrated experience building and maintaining production data
pipelines and ETL/ELT processes. Knowledge of data warehousing
concepts and tools (e.g., Snowflake, Redshift, BigQuery).
Cross-functional collaboration within a multidisciplinary data
science organization Clear technical communication to both data
practitioners and non-technical business partners Strong
problem-solving and performance optimization skills Continuous
improvement orientation and adoption of emerging data engineering
standards 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 Preferences: Master's degree in
a relevant field with 3 years of professional experience in data
engineering, software engineering, or related technical roles
Experience in pharmaceutical, biotechnology, medical device, or
healthcare industries—particularly with GxP/regulated data
environments. Proficiency in programming languages such as Python,
SQL, and/or Scala. Proven track record working with relational and
non-relational databases. Experience with data pipeline
orchestration tools (e.g., Apache Airflow, Prefect, Dagster).
Experience with cloud platforms (i.e. AWS, Azure, or GCP) and their
data services. Understanding of data modeling principles and
database design. Cloud data architecture and platform expertise
Data governance, compliance, and ALCOA adherence in regulated
environments Other Information: Travel up to 5% Location:
Indianapolis, IN; Lilly Technology Center – North (LTC-N) 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
Network, Black Employees at Lilly, Chinese Culture Network,
Japanese International Leadership Network (JILN), Lilly India
Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ
Allies), Veterans Leadership Network (VLN), Women’s Initiative for
Leading at Lilly (WILL), enAble (for people with disabilities).
Learn more about all of our groups. Actual compensation will depend
on a candidate’s education, experience, skills, and geographic
location. The anticipated wage for this position is $65,250 -
$169,400 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. WeAreLilly
Keywords: Eli Lilly and Company, Dayton , Engineer – Drug Delivery Device Development, Engineering , Indianapolis, Ohio
