Staff Engineer - GM Energy

Job Description

This role is categorized as hybrid. This means the successful candidate is expected to report to GM Georgia IT Innovation Center or GM Global Technical Center or Austin Innovation Technical Center three times per week, at minimum.

The Role

The GM Energy Data Engineering team is on the lookout for a talented Staff Software Engineer who is highly a skilled and hands-on Cloud Data Warehouse Architect with expertise in IoT data integration, Snowflake, Databricks, and Apache Iceberg. The ideal candidate will design, implement, and optimize 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

• Architect and develop cloud data warehouse solutions leveraging Snowflake with integration to Databricks
• Design and 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.
• Design and 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.
• Develop and maintain documentation for architecture, processes, and best practices.
• Setting up monitoring tools and dashboards to track pipeline health, diagnose issues, and optimize performance.
• Mentor and support junior engineers through guidance, coaching, and learning opportunities.
• Stay current with industry trends and best practices in data management, ODS technologies, and API development.

Skills & Abilities (Required Qualifications)

• Bachelor's in software engineering, Computer Science, Information Technology, or a related field or equivalent experience.
• Proven experience architecting and implementing cloud data warehouses using Snowflake or any other data platform.
• Hands-on experience with Apache Spark and/or Apache Iceberg 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, and ETL tools.
• Proven cloud experience and strong familiarity with at least one cloud platform (Microsoft Azure - preferred, AWS, Google Cloud Platform).
• Strong problem-solving and analytical skills along with strong interpersonal and communication skills with demonstrated working experiences with cross-function product teams.
• Experience with data visualization tools to effectively communicate insights is preferred.
• 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.
• Solid problem-solving skills and the ability to translate business questions into data-driven solutions.
• Good understanding and experience with CI/CD practices.
• Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality.

Additional Job Description

What Can Give You a Competitive Advantage (Preferred Qualifications)

• Experience with Snowflake platform and snowflake certifications.
• Experience with real-time data streaming technologies (e.g., Kafka, Spark Streaming).
• Knowledge of data governance and security best practices.
• OCPP Protocol expertise
• Databricks, and/or Apache Iceberg certifications.
• Cortex and ML Expertise

This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

Compensation:

• The expected base compensation for this role is: $165,000 - $270,900. 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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