EDAI Data Engineering Manager

United States

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

AutomotiveIndustries

Requirements

Candidates should possess a Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field, with a Master's degree preferred. A minimum of 3 years of experience managing data engineering or software engineering teams and 7 years of hands-on data engineering experience, including designing, developing, and optimizing large-scale data pipelines and ETL/ELT workflows, is required. Proficiency in Python, SQL, and distributed data processing frameworks like PySpark, along with experience in modern data platforms (Airflow, dbt, Snowflake, Databricks, Kafka) and cloud architecture systems (Azure, AWS, GCP), is essential. Strong data modeling, data warehousing, and data governance knowledge, coupled with demonstrated success in cross-functional collaboration and leadership/mentoring skills, are also necessary. The ability to communicate long-term vision and roadmap milestones effectively is a key requirement.

Responsibilities

The Data Engineering Manager will lead and mentor a team of Data Engineers, Scrum Leads, Architects, and Product Managers to build scalable analytic data foundations. Responsibilities include architecting, designing, and implementing data ingestion, transformation, and orchestration workflows using modern data engineering tools and cloud-native technologies. The role also involves ensuring high data quality, reliability, and availability across batch and real-time data processing systems, establishing and promoting best practices in data engineering, and contributing to the evolution of data architecture and long-term strategies. Additionally, the manager will oversee on-call rotations, ensure operational excellence, system reliability, and timely incident response for production data pipelines.

Skills

Data Engineering

Cloud Data Architecture

Data Infrastructure

Data Pipelines

Data Ingestion

Data Transformation

Orchestration

Data Quality

System Reliability

CI/CD

Machine Learning

Advanced Analytics

Experimentation

Scrum

Version Control

Testing

Documentation

General Motors

Designs, manufactures, and sells vehicles

About General Motors

General Motors designs, manufactures, and sells vehicles and vehicle parts, catering to individual consumers, businesses, and government entities. The company operates in both traditional internal combustion engine vehicles and the growing electric vehicle (EV) market, generating revenue through vehicle sales and financing services. GM stands out from competitors with its commitment to community service, sustainability, and diversity, as evidenced by a majority female Board of Directors. The company's goal is to balance traditional automotive manufacturing with technological advancements in electric and autonomous vehicles.

Detroit, MichiganHeadquarters

1908Year Founded

$486.7MTotal Funding

IPOCompany Stage

Automotive & Transportation, Financial ServicesIndustries

10,001+Employees