Associate Director of RWD Engineering
Eli Lilly and Company
August 07, 2026
Remote friendly (Indianapolis, IN)
United States
IT
Responsibilities:
- Lead design, development, and implementation of cloud-native data products and high-throughput RWD pipelines that create analysis-ready assets for analytics and evidence generation.
- Own end-to-end lifecycle of RWD data products (requirements, prototyping, deployment, optimization) ensuring scalability, reliability, performance, and reproducibility (Databricks, AWS S3, Azure Data Lake).
- Build/maintain ETL/ELT ingestion and transformation for multi-modal healthcare data (claims, complex EHR, linked datasets) at large scale.
- Implement lakehouse architectures (e.g., bronze/silver/gold) and versioned, partitioned, audit-ready datasets.
- Write reusable, version-controlled transformations using healthcare standards (ICD-10/ICD-9, NDC, RxNorm, SNOMED, CPT/HCPCS, LOINC) to produce domain datasets (demographics, diagnoses, treatments, procedures, encounters, labs).
- Optimize SQL/Spark workloads; translate research/business needs into reproducible extraction logic.
- Establish engineering practices (quality checks, testing, monitoring, documentation) and CI/CD standards.
Qualifications (minimum):
- Bachelor’s degree in Computer Science/Engineering/Statistics/IT/Bioinformatics or related technical field.
- 3+ years hands-on data engineering focused on healthcare/life sciences RWD.
- 3+ years applying Python, SQL, ETL/ELT pipelines, and cloud platforms (e.g., AWS Glue/EMR, Snowflake, or Databricks).
Preferred skills:
- Distributed computing (Spark/Dask); SQL optimization (Redshift/Snowflake/Databricks/BigQuery).
- Data modeling (star/snowflake, OMOP), Delta Lake/Iceberg, dbt.
Benefits/Pay (stated): Anticipated base pay: $156,000–$228,800; company bonus and comprehensive benefits.
Other info: Location Indianapolis, IN strongly preferred (relocation may be available; remote may be considered).
- Lead design, development, and implementation of cloud-native data products and high-throughput RWD pipelines that create analysis-ready assets for analytics and evidence generation.
- Own end-to-end lifecycle of RWD data products (requirements, prototyping, deployment, optimization) ensuring scalability, reliability, performance, and reproducibility (Databricks, AWS S3, Azure Data Lake).
- Build/maintain ETL/ELT ingestion and transformation for multi-modal healthcare data (claims, complex EHR, linked datasets) at large scale.
- Implement lakehouse architectures (e.g., bronze/silver/gold) and versioned, partitioned, audit-ready datasets.
- Write reusable, version-controlled transformations using healthcare standards (ICD-10/ICD-9, NDC, RxNorm, SNOMED, CPT/HCPCS, LOINC) to produce domain datasets (demographics, diagnoses, treatments, procedures, encounters, labs).
- Optimize SQL/Spark workloads; translate research/business needs into reproducible extraction logic.
- Establish engineering practices (quality checks, testing, monitoring, documentation) and CI/CD standards.
Qualifications (minimum):
- Bachelor’s degree in Computer Science/Engineering/Statistics/IT/Bioinformatics or related technical field.
- 3+ years hands-on data engineering focused on healthcare/life sciences RWD.
- 3+ years applying Python, SQL, ETL/ELT pipelines, and cloud platforms (e.g., AWS Glue/EMR, Snowflake, or Databricks).
Preferred skills:
- Distributed computing (Spark/Dask); SQL optimization (Redshift/Snowflake/Databricks/BigQuery).
- Data modeling (star/snowflake, OMOP), Delta Lake/Iceberg, dbt.
Benefits/Pay (stated): Anticipated base pay: $156,000–$228,800; company bonus and comprehensive benefits.
Other info: Location Indianapolis, IN strongly preferred (relocation may be available; remote may be considered).