CareerPlan

Lead Data and Analytics Engineer

North Chicago, IL, usFull-time2026-10-19 → 2026-11-10
Hybrid

Core

Design and implement data solutions and AI automation to transform Corporate Services and HR operations, bridging business needs with technical execution.

Role type

Lead Data and Analytics Engineer (Strategic IC with team mentorship)

Builds

Scalable data pipelines, production-grade software, and AI/automation prototypes for enterprise systems

Domain

Enterprise Data Engineering & AI Automation

Deliverable

production ML models

Required skills

Python, SQL, Apache Spark, Apache Kafka, Apache Flink, Databricks, Cloud platforms (Azure/AWS/GCP), Data modeling, Data orchestration (Airflow/dbt/Prefect), Vector databases, Generative AI

Preferred skills

Pharmaceutical industry experience, GxP compliance, International team collaboration, Graph databases, GraphQL

Technologies

Apache Spark, Apache Kafka, Apache Flink, Databricks, Azure, AWS, Google Cloud, Apache Airflow, dbt, Prefect, Vector databases

Responsibilities

Engage with stakeholders to translate business requirements into technical solution designs; Engineer and implement scalable data engineering solutions; Prioritize rapid prototyping and iterative development of MVPs; Mentor technical staff and lead cross-functional teams

Seniority

Senior, hands-on IC with leadership responsibilities