layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Senior Data Engineer – Vehicle Telematics Platform at General Motors | LAYIQ

Build and operate the telemetry data platform that powers connected vehicle analytics, AI, quality engineering, and software-defined vehicle innovation at global scale
Build and operate large-scale telemetry pipelines that ingest, process, and publish vehicle data at enterprise scale
Develop batch and streaming solutions using Databricks, Spark, Event Hubs, and cloud-native technologies
Create reliable, production-grade data products that support analytics, AI, engineering, and operational decision-making
Implement data quality, validation, monitoring, and observability capabilities that proactively identify issues before they impact consumers
Design systems that are scalable, resilient, cost-efficient, and easy to operate
Build tooling and frameworks that make it easier for teams to develop and deploy trusted data assets
Troubleshoot performance bottlenecks and optimize large-scale distributed workloads
Improve platform reliability through automation, CI/CD, Infrastructure as Code, and engineering best practices
Partner with product, analytics, AI, and engineering teams to deliver trusted telemetry data at scale
Help raise the engineering bar through mentorship, technical leadership, and operational excellence
Problems You'll Help Solve
How do we reliably process billions of telemetry events every day?
How do we detect data quality issues before business users find them?
How do we make telemetry data easier to trust, discover, and reuse?
How do we scale streaming and batch workloads without runaway cloud costs?
How do we provide observability into thousands of pipelines and data products?
How do we make telemetry data available to analytics, AI, and engineering teams faster and more reliably?
Your Skills & Abilities (Required Qualifications)
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
5+ years of experience building large-scale data platforms, distributed systems, or data engineering solutions
Strong hands-on experience with Spark and distributed data processing
Strong programming skills in Python or Scala
Expert-level SQL skills
Experience with Databricks or similar large-scale analytical platforms
Experience building cloud-native solutions in Azure, AWS, or GCP
Experience with streaming technologies such as Event Hubs, Kafka, Pulsar, or similar platforms
Experience building and operating highly reliable production data pipelines
Experience implementing observability, monitoring, alerting, and operational support capabilities
Experience designing and enforcing data quality controls, validation frameworks, and reliability standards
Experience optimizing distributed workloads for performance, scalability, and cost efficiency
Experience with CI/CD, Infrastructure as Code, and automation practices
Strong troubleshooting, communication, and problem-solving skills

Senior Data Engineer – Vehicle Telematics Platform

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