Jobs via Dice
Overview
Base pay range: $134,000.00/yr - $219,400.00/yr This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum (or more frequently as dictated by the business). What You'll Do
Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. Lead and deliver data-driven solutions across multiple languages, tools, and technologies. Contribute to architecture discussions, solution design, and strategic technology adoption. Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. Design and develop new source system integrations from varied formats (files, database extracts, APIs). Design and implement solutions for delivering data that meets SLA requirements. Work with operations teams to resolve production issues related to the platform. Apply best practices such as Agile methodologies, design thinking, and continuous deployment. Develop tooling and automation to make deployments and production monitoring more repeatable. Collaborate with business and technology partners, providing leadership, best practices, and coaching. Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL) 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) Proficiency in data streaming in Kubernetes and Kafka Experience with cloud platforms - Azure preferred; AWS or Google Cloud Platform also considered Solid understanding of CI/CD principles and tools Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues Strong understanding of performance optimization techniques such as partitioning, clustering, and caching Proficiency with SQL, key-value datastores, and document stores Familiarity with data architecture and modeling concepts to support efficient data consumption Strong collaboration and communication skills; ability to work across multiple teams and disciplines Preferred Qualifications
Master's degree in Computer Science, Software Engineering, or related field Knowledge of data governance, metadata management, or data quality/observability Familiarity with schema design and data contracts Experience handling various file formats (video, audio, image) Experience with Databricks, Snowflake, or similar platforms Compensation & Benefits
The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY IF YOU WILL NEED GM SPONSORSHIP NOW OR IN THE FUTURE. About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion. We strive to lead the change that will make our world better, safer and more equitable for all. Why Join Us
We believe that every day we can drive meaningful change through our words, actions, and culture. We want every employee to feel they belong to one General Motors team. Accommodations
General Motors offers accommodations to all job seekers. If you need a reasonable accommodation to assist with your job search or application, please email us or call us with a description of the accommodation requested and the job title and requisition number.
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Base pay range: $134,000.00/yr - $219,400.00/yr This role is categorized as hybrid. The successful candidate is expected to report to Warren, MI or Austin, TX three times per week, at minimum (or more frequently as dictated by the business). What You'll Do
Assemble large, complex data sets that meet functional and non-functional business requirements. Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability. Lead and deliver data-driven solutions across multiple languages, tools, and technologies. Contribute to architecture discussions, solution design, and strategic technology adoption. Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code. Design and develop new source system integrations from varied formats (files, database extracts, APIs). Design and implement solutions for delivering data that meets SLA requirements. Work with operations teams to resolve production issues related to the platform. Apply best practices such as Agile methodologies, design thinking, and continuous deployment. Develop tooling and automation to make deployments and production monitoring more repeatable. Collaborate with business and technology partners, providing leadership, best practices, and coaching. Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies. Qualifications
Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience 7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage (ETL frameworks, big data processing, NoSQL) 3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes) Proficiency in data streaming in Kubernetes and Kafka Experience with cloud platforms - Azure preferred; AWS or Google Cloud Platform also considered Solid understanding of CI/CD principles and tools Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues Strong understanding of performance optimization techniques such as partitioning, clustering, and caching Proficiency with SQL, key-value datastores, and document stores Familiarity with data architecture and modeling concepts to support efficient data consumption Strong collaboration and communication skills; ability to work across multiple teams and disciplines Preferred Qualifications
Master's degree in Computer Science, Software Engineering, or related field Knowledge of data governance, metadata management, or data quality/observability Familiarity with schema design and data contracts Experience handling various file formats (video, audio, image) Experience with Databricks, Snowflake, or similar platforms Compensation & Benefits
The expected base compensation for this role is: $134,000 - $219,400. Actual base compensation within the identified range will vary based on factors relevant to the position. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits: GM offers a variety of health and wellbeing benefit programs, including medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts, and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY IF YOU WILL NEED GM SPONSORSHIP NOW OR IN THE FUTURE. About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion. We strive to lead the change that will make our world better, safer and more equitable for all. Why Join Us
We believe that every day we can drive meaningful change through our words, actions, and culture. We want every employee to feel they belong to one General Motors team. Accommodations
General Motors offers accommodations to all job seekers. If you need a reasonable accommodation to assist with your job search or application, please email us or call us with a description of the accommodation requested and the job title and requisition number.
#J-18808-Ljbffr