Senior Data Engineer

General Motors; Austin (TX); Hybrid; USD 125,000 - 169,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid vacation & holidays

GM vehicle discounts

Job summary

General Motors in Austin seeks an experienced Data Engineer to design and implement cloud data warehouse solutions. You will ingest IoT data, build scalable pipelines using Databricks, Snowflake, Flink/Spark, and design an Operational Data Store for fast analytics.

The role emphasizes data quality, security, and observability, with a hybrid schedule and collaboration with cross-functional teams across the GM Energy Data Engineering group.

Qualifications

• Bachelor's degree in software engineering, CS, IT, or related field.
• 7+ years experience designing, developing, and supporting enterprise applications.
• Proven in implementing cloud data warehouses using Databricks, Snowflake or similar.
• Hands-on experience with Apache Flink or Spark for data lake pipelines.
• Experience designing and building Operational Data Stores (ODS) as speed layers for analytics.
• Experience with IoT data ingestion, processing, and analytics.
• Strong proficiency in SQL, Python, Java and ETL tools.
• Proven cloud experience with at least one cloud platform (Azure preferred, AWS, GCP).
• Experience with CI/CD practices and observability for performance monitoring.

Responsibilities

• Develop cloud data warehouse solutions leveraging Databricks and Kubernetes.
• Implement robust data pipelines to ingest, process, and store IoT data from diverse sources.
• Integrate and manage large-scale datasets using Apache Iceberg for efficient data lake operations.
• Build an Operational Data Store (ODS) to enable near real-time analytics.
• Collaborate with data engineers, analysts, and stakeholders to 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 and performance.
• Stay current with industry trends in data management, ODS tech, and API development.

Skills

Cloud Data Warehouse

Databricks

Snowflake

Apache Flink

Spark

IoT data ingest

SQL

Python

Java

ETL tools

CI/CD

Education

Bachelor's degree in CS/SE

Tools

Databricks platform

Snowflake

Kubernetes

Apache Iceberg

Azure/AWS/GCP

Job description

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to Austin Technical Center three times per week, at minimum [or other frequency dictated by the business if more than 3 days].

The GM Energy Data Engineering team is on the lookout for a talented Data Engineer who is a highly skilled and hands‑on Cloud Data Warehouse engineer with experience in IoT data integration, Snowflake, Databricks, and Apache Flink. The selected candidate will play a pivotal role in designing, implementing, and optimizing scalable cloud‑based data warehouse solutions, including an Operational Data Store (ODS) to serve as a speed layer for advanced analytics and business intelligence initiatives.

What You’ll Do

• Develop cloud data warehouse solutions leveraging Databricks and Kubernetes.
• Implement robust data pipelines to ingest, process, and store IoT data from diverse sources.
• Integrate and manage large‑scale datasets using Apache Iceberg for efficient, reliable, and scalable data lake operations.
• Build an Operational Data Store (ODS) to function as a speed layer, enabling rapid access for near real‑time use Cases.
• 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 all cloud data platforms.
• Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance.
• Stay current with industry trends and best practices in data management, ODS technologies, and API development.

Your Skills & Abilities (Required Qualifications)

• 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 in implementing cloud data warehouses using Databricks, Snowflake or any other 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 - preferred, AWS, GCP).
• Experienced in proactive issue detection leveraging anomaly detection techniques, with a strong focus on monitoring pipeline performance, ensuring system reliability, and identifying bottlenecks through observability metrics.
• Good understanding and experience with CI/CD practices.

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience with Databricks platform and Databricks certifications.
• Experience with real‑time data streaming technologies (e.g., Kafka, Spark Streaming, Flink).
• Knowledge of data governance and security best practices.
• OCPP Protocol expertise

This job may be eligible for relocation benefits.

Compensation

• The expected base compensation for this role is: $125,000 - $168,650. 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.)

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, we’re looking out for your well‑being–at work and at home–so 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 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.