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Manager of Data Engineering

COLUMBUS, OH💼 Full-time🗓 2026-07-13 → 2026-07-30

Core

Modernizing legacy data pipelines, focusing on data ingestion, replication, and continuous integration to support analytics and embedded analysts.

Role type

Manager of Data Engineering

Builds

Scalable ETL pipelines, CI/CD workflows, and modernized data infrastructure on AWS.

Domain

Automotive / Data Engineering

Deliverable

production ML models | infrastructure

Required skills

ETL/ELT design, AWS Glue, Apache Kafka, Snowflake/BigQuery, Advanced SQL, dbt/Talend, Python, Data architecture, Legacy system integration (Mainframe/Oracle), CI/CD orchestration (Airflow/Dagster), Team leadership, Cost management

Preferred skills

None stated

Technologies

AWS Glue, Apache Kafka, Buildkite, Informatica, Snowflake, BigQuery, GitHub, Apache Airflow, Dagster, Python, Oracle, Mainframe

Responsibilities

Lead modernization of legacy data ingestion processes; Design and build scalable ETL pipelines to a centralized data lake; Develop and deploy CI/CD pipelines; Analyze and rebuild complex reporting workflows; Mentor and train data engineers; Align data engineering efforts with company goals; Manage data infrastructure costs.

Seniority

Manager, hands-on IC with team leadership

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