Staff Data Engineer â Intelligent Manufacturing
Staff Data Engineer â Intelligent Manufacturing
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Warren MI or Austin TX three times per week at minimum or other frequency dictated by the business if more than 3 days.
The Role
The Intelligent Manufacturing teams are responsible for ideating incubating and delivering new plant data solutions for General Motors Manufacturing and our partners. We integrate with business and IT teams to develop real-time solutions that leverage plant floor data to improve decisions plant asset maintenance safety and operational performance as well as Vehicle Build Data.
As a senior level Data Engineer you will design and build industrialized data assets and pipelines to support Business Intelligence and Advanced Analytics this senior-level technical leadership role youll bring a passion for quality efficiency and reliability along with proven experience leading complex data engineering initiatives from concept to production. You will work in a highly collaborative environment across databases streaming technology CI/CD cloud platforms and modern data engineering toolsto create large complex data sets that meet both functional and non-functional business requirements.
Beyond strong data engineering skills you should have a solid foundation in modern software engineering principlesincluding code quality design patterns testing and CI/CDto deliver robust maintainable and production-ready systems. The ideal candidate combines a data-driven mindset with a strong understanding of business priorities demonstrating creativity sound decision-making and the ability to influence and collaborate across teams.
What Youll Do
Provide technical leadership for complex data engineering initiatives from concept through production ensuring solutions are high-quality efficient and reliable.
Assemble large complex data sets that meet both functional and non-functional business requirements.
Identify design and implement process improvements including automation data delivery optimization and redesign for greater scalability.
Architect build and optimize highly scalable data pipelines that incorporate complex transformations and efficient maintainable code.
Design and develop new source system integrations from a variety of formats including files database extracts and APIs.
Lead and deliver data-driven solutions across multiple languages tools and technologies contributing to architecture discussions solution design and strategic technology adoption.
Develop solutions for delivering data that consistently meets SLA requirements and supports operational excellence.
Partner closely with operations teams to troubleshoot and resolve production issues ensuring platform stability.
Drive engineering excellence by applying Agile methodologies design thinking continuous deployment CI/CD best practices and performance tuning strategies.
Build tooling and automation to make deployments production monitoring and operational support more repeatable and efficient.
Collaborate with business and technology partners providing strategic guidance leadership and coaching to influence outcomes and align with enterprise goals.
Actively mentor peers and junior engineers fostering a culture of learning innovation and continuous improvement while educating colleagues on emerging industry trends and technologies.
Represent the team in executive-level forums to communicate status risks opportunities and the strategic value of data engineering initiatives.
Your Skills & Abilities (Required Qualifications)
Bachelors degree in Computer Science Software Engineering or related field
10 years of experience in data engineering including Python or Scala SQL and relational/non-relational storage (ETL frameworks big data processing NoSQL)
5 years of experience in distributed petabyte-scale data processing with Spark and container orchestration (Kubernetes)
Hands-on experience with real-time data streaming in Kubernetes and Kafka
Expertise in performance tuning (partitioning clustering caching serialization techniques)
Proficiency with SQL key-value datastores and document stores
Strong CI/CD expertise and best practices
Background in data architecture and modeling for optimized consumption patterns
Proven experience developing data models and schemas for efficient storage retrieval and analytics with query performance optimization
Cloud experience with at least one major platform (Azure preferred; AWS or GCP acceptable)
Strong teamwork and leadership skills to collaborate and influence across product program and engineering teams
Commitment to ensuring data security privacy and regulatory compliance
Additional Job Description
What Can Give You a Competitive Advantage (Preferred Qualifications)
Masters degree in Computer Science Software Engineering or related field
Background in data governance metadata management and/or data quality/observability
Knowledge of schema design and data contracts
Experience processing and storing media file formats (video audio image)
Experience with tools such as Databricks or Snowflake
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
Compensation:
- The expected base compensation for this role is: $165000 - $270900. 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. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance 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 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.)
#LI-CC1
About GM
Our vision is a world with Zero Crashes Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day individually and collectively to drive meaningful change through our words our deeds and our culture. Every day we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards Resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required where applicable to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment email us or call us your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.
Required Experience:
Staff IC
Employment Type
Full-Time
