Senior Data Engineer- Motorsports

Workplace Classification: Hybrid: This position does not require an employee to be on-site full-time to perform most effectively. This position requires an employee to be onsite up to 3 times per week, with flexible schedule for periodic race weekend remote support. The Team: GM’s Motorsports Software team analyzes, defines, and delivers next generation groundbreaking Motorsports IT software solutions. Using both innovative cloud-based infrastructure and software development standards, these solutions enable innovative interactions between GM Global Engineering, GM Motorsports, and our Race teams that accelerate our drivers to the finish line first! Our combined team of analysts, architects, developers, data engineers, testers, and product managers work with GM Motorsports Engineering and Racing teams to ensure podium wins for GM’s Formula 1, NASCAR, IndyCar, and IMSA&WEC sportscar teams! The Role: As a Senior Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives. You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future. Are you ready to join a future facing team? What You'll Do (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. Your Skills & Abilities (Required Qualifications): • Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Operations Research, Engineering, Economics, or other quantitative field • 5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, or Scala • At least 3 years of hands on experience with Big Data Tools: Kafka, Databricks, Flank, etc. • Advanced SQL and NoSQL databases, including Postgres and Cassandra • Experience in developing large-scale integration and API solutions • Experience with cloud compute and storage platforms Azure, AWS, Google, and associated data tools People Skills: • Ability to tackle problems quickly and completely • Ability to identify tasks which require automation and automate them • A demonstrable understanding of networking/distributed computing environment concepts • Ability to multi-task and stay organized in a dynamic work environment What Will Give You A Competitive Edge (Preferred Qualifications): • Knowledge of Akka, Python, Kubernetes, Docker, GRPC • Data Wrangling and Preparation: Alteryx, Trifacta, SAS, Datameer • Previous IT experience with Motorsport Racing history/background a plus! • PhD. or Master’s degree in Mathematics, Statistics, Computer Science, Operations Research, Engineering, Economics, Data Science or other quantitative field • Stream-processing systems: Storm, Spark-Streaming, etc. • Academic or work experience in a data-intensive field or industry • Machine Learning Libraries: TensorFlow, Scikit-Learn, Spark ML, or equivalent GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) •This job may be eligible for relocation benefits. #LI-DH2

Qualifications

• Bachelor's degree in Mathematics, Statistics, Computer Science, Data Science, Operations Research, Engineering, Economics, or other quantitative field

• 5 or more years experience with object-oriented/object function scripting languages: Python, Java, C++, or Scala

• At least 3 years of hands on experience with Big Data Tools: Kafka, Databricks, Flank, etc

• Advanced SQL and NoSQL databases, including Postgres and Cassandra

• Experience in developing large-scale integration and API solutions

• Experience with cloud compute and storage platforms Azure, AWS, Google, and associated data tools

• Ability to tackle problems quickly and completely

• Ability to identify tasks which require automation and automate them

• A demonstrable understanding of networking/distributed computing environment concepts

• Ability to multi-task and stay organized in a dynamic work environment

• THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING

• A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.)

Responsibilities

• This position requires an employee to be onsite up to 3 times per week, with flexible schedule for periodic race weekend remote support

• As a Senior Data Engineer, you will build industrialized data assets and optimize data pipelines in support of Business Intelligence and Advance Analytic objectives

• You will work closely with our forward-thinking Data Scientists, BI Developers, System Architects and Data Architects to deliver value to our vision for the future

• 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