Senior Data Engineer â Intelligent Manufacturing
Senior 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
As a Data Engineer you will design build and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics this role within the Intelligent Manufacturing organization under Data Engineering Software you will deliver high-quality scalable solutions that meet both functional and non-functional business requirements. You will contribute to projects across databases streaming technology CI/CD and cloud platforms.
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.
This is a senior-level role that blends strong data engineering skills with modern software engineering practices. You will help lead and deliver innovative scalable and maintainable data-driven solutionswriting high-quality tested production-ready code that meets customer needs and scales without rework. You will work in a collaborative cross-disciplinary environment handle complex challenges contribute to architectural discussions and help shape solutions that improve performance scalability and maintainability while also ensuring alignment with business priorities.
What Youll 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.
Your Skills & Abilities (Required Qualifications)
Bachelors 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 GCP 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.
Additional Job Description
What Can Give You a Competitive Advantage (Preferred Qualifications)
Masters 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
This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.
Compensation:
- The expected base compensation for this role is: $134000 - $219400. 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:
Senior IC
Employment Type
Full-Time
