OnStar Vehicle Diagnostics/Telematics Systems Engineer

Rco Engineering•Warren, MI

59d•Hybrid

About The Position

The GM OnStar Customer Experience Team is looking for a degreed engineer who has technical skills, and that might have had prior experience with telematics modules in the vehicle. The successful candidate is motivated, works well in a group but can work independently, shows initiative, and has a curiosity of how things work along with a positive attitude. Manage daily operations of OnStar Vehicle Diagnostics with a focus on enhancing customer experience. Develop and monitor Key Performance Indicators (KPIs) for Vehicle Diagnostics using vehicle diagnostics data and data science tools. Provide technical and innovative solutions to application/system related problems that spans multiple platforms and technologies - focus on mobile apps and diagnostics alerts. Partner with GM engineers and designers to understand system design, failure modes, and customer-facing issues. Simplify complex technical findings into clear problem descriptions and actionable solutions. Apply big data analytics (Hive, Hadoop, Databricks, Power BI, ETL methods, etc.) to generate insights from high-velocity, real-time vehicle data. Collaborate with subject matter experts on vehicle health, diagnostics, and driving behavior analysis. Work closely with engineering teams to ensure data collection accuracy, integrity, and issue resolution. Support both Agile and Waterfall methodologies in design, requirements gathering, testing, deployment, and continuous improvement. Serve as Level 3 support for customer issues, driving root cause resolution through data-driven insights. Partner with finance teams to forecast airtime/data costs and support cost-efficiency strategies. Operational & Analytical Focus Manage operations for real-time, high-volume data environments, handling millions of vehicle transactions daily. Perform transactional data analysis to detect patterns, diagnose issues, and recommend improvements. Contribute to feature design, architecture reviews, and deployment of analytics-driven solutions. Research cutting-edge telematics and data technologies to enhance performance and reliability. Preferred system experience includes Databricks, SQL, and Python — prior exposure is helpful, but skills can be developed on the job One team member manages the fleet and conducts vehicle testing approximately once per month Day in the Life: Coding experience, familiarity with the systems and how they work Connective services within the vehicle experience Involved in VTM (Vehicle Test Management) operations Analyzing vehicle data, including diagnostic information, to identify issues and communicate findings to customers. Strong Data Analysis and Analytics experience required Responsible for handling customer cases and troubleshooting within internal systems. The team is about 11 people and growing. Collaborating with team members on diagnostic-related tasks.

Requirements

Bachelors degree in computer science or computer engineering.
Minimum 1-3 years in automotive vehicle diagnostics
SQL
Previous telematics/connective experience - wireless aspect.
Process oriented and detail-driven, able to follow established procedures consistently
High degree of emotional intelligence.
Effective communication; written and verbal. Good records keeping.
Valid MI Driver's License and Good driving record are required.

Nice To Haves

Preferred system experience includes Databricks, SQL, and Python — prior exposure is helpful, but skills can be developed on the job
Coding experience, familiarity with the systems and how they work
Connective services within the vehicle experience
Involved in VTM (Vehicle Test Management) operations
Strong Data Analysis and Analytics experience required

Responsibilities

Manage daily operations of OnStar Vehicle Diagnostics with a focus on enhancing customer experience.
Develop and monitor Key Performance Indicators (KPIs) for Vehicle Diagnostics using vehicle diagnostics data and data science tools.
Provide technical and innovative solutions to application/system related problems that spans multiple platforms and technologies - focus on mobile apps and diagnostics alerts.
Partner with GM engineers and designers to understand system design, failure modes, and customer-facing issues.
Simplify complex technical findings into clear problem descriptions and actionable solutions.
Apply big data analytics (Hive, Hadoop, Databricks, Power BI, ETL methods, etc.) to generate insights from high-velocity, real-time vehicle data.
Collaborate with subject matter experts on vehicle health, diagnostics, and driving behavior analysis.
Work closely with engineering teams to ensure data collection accuracy, integrity, and issue resolution.
Support both Agile and Waterfall methodologies in design, requirements gathering, testing, deployment, and continuous improvement.
Serve as Level 3 support for customer issues, driving root cause resolution through data-driven insights.
Partner with finance teams to forecast airtime/data costs and support cost-efficiency strategies.
Manage operations for real-time, high-volume data environments, handling millions of vehicle transactions daily.
Perform transactional data analysis to detect patterns, diagnose issues, and recommend improvements.
Contribute to feature design, architecture reviews, and deployment of analytics-driven solutions.
Research cutting-edge telematics and data technologies to enhance performance and reliability.
Analyzing vehicle data, including diagnostic information, to identify issues and communicate findings to customers.
Responsible for handling customer cases and troubleshooting within internal systems.

Benefits

RCO Engineering offers an excellent benefit package including medical, dental, vision and life insurance benefits.
We also offer short-term disability and FMLA benefits, a 401(k) match, tuition reimbursement, as well as Bereavement Pay and Jury Duty Pay.

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume