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General Motors

Senior Data Engineer

General Motors

. Design, implement, and optimize scalable cloud-based data warehouse solutions .

Posted 10/9/2026full-timeAustin • Texas • United StatesSenior💰 $125,000 - $168,650 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in designing and implementing scalable cloud-based data warehouse solutions, with a strong focus on data quality, security, and compliance. Proficient in utilizing tools like Databricks and Apache Iceberg for data management and analytics.

Highest-signal resume keywords
Cloud Data Warehouse DevelopmentDatabricks ExperienceSQL ProficiencyIoT Data IngestionOperational Data Store Design

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLPythonJavaETL ToolsApache FlinkApache SparkData Pipeline ImplementationData ModelingCloud Platform FamiliarityCI/CD Practices
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
DatabricksKubernetesApache IcebergMicrosoft AzureAWSGCPKafkaSpark StreamingMonitoring ToolsDashboards
Certifications & Qualifications
Databricks Certifications
Industry Keywords
Data WarehouseData LakeOperational Data StoreIoT DataData GovernanceData SecurityAnomaly DetectionPipeline Performance MonitoringObservability MetricsOCPP Protocol

Tech Stack

Tools & technologies
ApacheAWSAzureCloudETLGoogle Cloud PlatformIoTJavaKafkaKubernetesPythonSparkSQL

About the role

Key responsibilities & impact
  • Design, implement, and optimize scalable cloud-based data warehouse solutions
  • Develop cloud data warehouse solutions using Databricks and Kubernetes
  • Implement data pipelines to ingest, process, and store IoT data from diverse sources
  • Integrate and manage large-scale datasets using Apache Iceberg for data lake operations
  • Build an Operational Data Store as a speed layer for rapid, near-real-time access
  • Collaborate with data engineers, analysts, and business stakeholders to understand requirements and deliver scalable solutions
  • Optimize data models, storage, and compute resources for performance and cost efficiency
  • Ensure data quality, security, and compliance across cloud data platforms
  • Set up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance
  • Stay current with data management, ODS technologies, and API development best practices

Requirements

What you’ll need
  • Bachelor’s in software engineering, Computer Science, Information Technology, or a related field or equivalent experience
  • 7+ years experience designing, developing, and supporting enterprise applications
  • Proven experience implementing cloud data warehouses using Databricks, Snowflake, or another data platform
  • Hands-on experience with Apache Flink or Spark for data lake pipelines
  • Experience designing and building Operational Data Stores (ODS) as speed layers for analytic environments
  • Experience with IoT data ingestion, processing, and analytics
  • Strong proficiency in SQL, Python, Java, and ETL tools
  • Proven cloud experience and strong familiarity with at least one cloud platform: Microsoft Azure, AWS, or GCP
  • Experience with anomaly detection, pipeline performance monitoring, system reliability, bottleneck identification, and observability metrics
  • Good understanding and experience with CI/CD practices
  • GM does not provide immigration-related sponsorship; candidates must not require GM immigration sponsorship now or in the future
  • Applicants may be required to complete role-related assessments and/or pre-employment screening
  • Preferred: Databricks platform experience and certifications
  • Preferred: Real-time data streaming technologies such as Kafka, Spark Streaming, or Flink
  • Preferred: Data governance and security best practices
  • Preferred: OCPP Protocol expertise

Benefits

Comp & perks
  • This job may be eligible for relocation benefits
  • Medical, dental, and vision benefits
  • Health Savings Account
  • Flexible Spending Accounts
  • Retirement savings plan
  • Sickness and accident benefits
  • Life insurance
  • Paid vacation and holidays
  • Tuition assistance programs
  • Employee assistance program
  • GM vehicle discounts
  • Incentive pay program with payouts based on company performance, job level, and individual performance