Senior Data Engineer - GPSC Insights Engineering

General Motors

Senior Data Engineer - GPSC Insights Engineering

Reposted 4 Hours Ago

Austin TX USA

Hybrid

134K-219K Annually

Senior level

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing

We make amazing products people love for every journey.

The Role

The Senior Data Engineer will design and build scalable data solutions optimize data pipelines and lead improvements in data processing for Business Intelligence and Advanced Analytics.

Summary Generated by Built In

Description
This role is categorized as hybrid. This means the successful candidate is expected to report to Austin TX three times per week at minimum [or other frequency dictated by the business if more than 3 days].
The Role
Join our GPSC Insight Engineering team responsible for ideating incubating and delivering new data solutions for global purchasing supply chain (GPSC) and our partners.
As a Senior Data Engineer you will design build and optimize industrialized data assets and data pipelines in support of Business Intelligence and Advanced Analytics objectives. In this role within the GPSC Insights Engineering organization under the Data organization 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.
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 solutions-writing 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 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.

Your Skills & Abilities (Required 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 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.

What Can Give You a Competitive Advantage (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
Experience designing and implementing robust data ingestion frameworks for heterogeneous data sources (structured/unstructured files external suppliers supplier chain systems).

This job may be eligible for relocation benefits.
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.)
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About GM
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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.
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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 [email protected] or call us at 1-800-865-7580. In 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.

Skills Required

Bachelor's degree in Computer Science Software Engineering or related field or equivalent experience
7+ years of data engineering/development experience with Python or Scala SQL and data storage
3+ years in distributed data processing with Spark and Kubernetes
Proficiency in data streaming with 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
Strong understanding of performance optimization techniques
Proficiency with SQL key-value datastores and document stores
Strong collaboration and communication skills

What the Team is Saying

General Motors Compensation & Benefits Highlights

Retirement Support—Retirement support includes a 401(k) with a 4% company contribution plus up to a 6% match (potential 10% from the company when you defer). Some roles also indicate pension eligibility and access to stock purchase opportunities.
Leave & Time Off Breadth—Time-off provisions for U.S. salaried employees include 15+ paid vacation days and up to 19 paid holidays with additional leave options available. Allowances can increase with career progression.
Parental & Family Support—U.S. salaried employees can receive 12 weeks of paid parental leave after one year of service. Family-building benefits provide up to $40000 in combined lifetime reimbursement for fertility surrogacy and adoption.

Learn more about General Motors's Compensation & Benefits →

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The Company

HQ: Detroit MI

165000 Employees

Year Founded: 1908

What We Do

At General Motors our vision is to create a world with Zero Crashes Zero Emissions and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better safer and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward together. We’re building vehicle software alongside its hardware hands-free driving that will lead to autonomy and EVs that charge your home for an all-electric future.

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Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week