Sr. Data Engineer (Motorsports)

General Motors • Concord, NC

402d

About The Position

The Senior Data Engineer position at GM Motorsports involves building and optimizing data assets and pipelines to support Business Intelligence and Advanced Analytics objectives. This role is crucial in collaborating with data scientists, BI developers, and system architects to enhance data infrastructure and deliver actionable insights that drive performance in various racing series, including NASCAR and IndyCar.

Requirements

• Bachelor's degree in Computer Science, Data Science, Statistics, Analytics, or relevant field
• 5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
• At least 3 years of hands-on experience with Big Data Tools: Hadoop, Spark, Kafka, etc.
• Mastery with databases - Advanced SQL and NoSQL databases, including Postgres and Cassandra
• Experience with Data Wrangling and Preparation tools: Alteryx, Trifacta, SAS, Datameer
• Familiarity with stream-processing systems: Storm, Spark-Streaming, etc.
• Ability to tackle problems quickly and completely
• Ability to identify tasks which require automation and automate them
• Demonstrable understanding of networking/distributed computing environment concepts
• Ability to multi-task and stay organized in a dynamic work environment.

Nice To Haves

• Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• AWS cloud services: EC2, EMR, RDS, Redshift.

Responsibilities

• Communicates and maintains Master Data, Metadata, Data Management Repositories, Logical Data Models, Data Standards.
• Create and maintain optimal data pipeline architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build industrialized analytic datasets and delivery mechanisms that utilize the data pipeline to deliver actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with business partners on data-related technical issues and develop requirements to support their data infrastructure needs.
• Create highly consistent and accurate analytic datasets suitable for business intelligence and data scientist team members.

Benefits

• Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents
• Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family
• Company and matching contributions to 401K savings plan to help you save for retirement
• Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values
• Tuition assistance and student loan refinancing
• Discount on GM vehicles for you, your family and friends.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Transportation Equipment Manufacturing
• Education Level: Bachelor's degree