Work Arrangement: This role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week or other frequency dictated by the business.

The Role
The Commercial Software division at GM is seeking talented individuals across various software engineering roles to join us. Our mission? Driving forward all digital solutions for commercial fleet owners and drivers, catering to businesses of all sizes, from small and medium businesses to large enterprises.

In today's dynamic landscape, the demand for intelligent, safe, and eco-friendly transportation solutions is skyrocketing. GM is at the forefront of this transformative journey, championing connected software-defined vehicles that redefine the driving experience. At the heart of this paradigm shift lies software – enabling seamless communication, bolstering security, facilitating updates, processing data, and ultimately, delivering an unparalleled user experience. These capabilities extend beyond consumer benefits, holding even greater significance for business owners.

Recognizing this pivotal moment, GM has recruited a significant number of Silicon Valley engineering, product, and leaders to lead the GM Software & Services organization. As a leading OEM with a vast fleet of vehicles spanning the globe, we're uniquely positioned to leverage our comprehensive control over in-vehicle and cloud software. Our aim? Seamlessly integrating solutions such as fleet management, energy optimization, transportation logistics, safety systems, and more, all geared towards enhancing efficiency and sustainability.

To realize our vision, we're actively expanding our software teams in Silicon Valley. We seek individuals who can blend a passion for technology and sustainability with curiosity, rigorous thinking and a strong customer centric approach. This is an exceptional opportunity where you can leverage the scale of GM and make a significant impact and find fulfillment in crafting innovative software solutions. We invite you to join us on this exciting journey toward a better future.

As a Senior Analytics Engineer, you will be a key member of GM Commercial Software’s data platform team, responsible for supporting core analytic products and services. This role will focus on developing transformations for the vehicle telemetry data that powers our automated fleet insights, visualizations, and emerging machine learning, optimization, and AI applications. You will work closely with data scientists and data engineers to refine business requirements and develop high quality enterprise data models adhering to best software engineering practices. The ideal candidate will have extensive experience working with enterprise data warehouse systems, modern ELT/ETL frameworks, and BI and orchestration tools. You should be comfortable working with cross-functional teams and have excellent communication skills.

What You'll Do

• Extend telemetry data warehouse architecture using data system design techniques

• Collaborate with data scientists, data engineers, and stakeholders to design and implement data models that transform data within our multihop data lakehouse architecture

• Design and implement dashboards that visualize the quality of critical data products across multiple dimensions (e.g., freshness, volume, and accuracy)

• Conduct root cause analysis of data quality issues using BI tools and ad hoc queries

• Work in a cross-disciplinary team with a strong adherence to software craftsmanship that includes writing tested, well-documented, and efficient code

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree or equivalent experience in computer science, data science, engineering, or related quantitative field

• 5+ years working in the data space as an analyst, engineer, scientist, or equivalent

• 2+ years building reports and dashboards using BI tools (e.g., PowerBI, Tableau, Looker, Qliksense, Metabase, etc.)

• 2+ years of industry experience working in a cloud environment (Azure preferred)

• Hands-on experience implementing ELT practices at scale

• Deep understanding of SQL and analytical data warehouses (Databricks preferred)

• Familiarity with enterprise warehouse data modeling techniques (e.g., Kimball)

• High degree of attention to software craftsmanship and professionalism

• Comfort with git, shell, and command-line tools

• Experience working with data workflow orchestration and integration tools (e.g., Airflow/Astro, Prefect, dbt cloud, etc.)

• Familiarity with data quality tools and testing frameworks (e.g., Monte Carlo, Anomalo, etc.)

What Will Give You A Competitive Edge (Preferred Qualifications)

• Basic ability to write Python scripts

• Understanding of data science concepts

• Familiarity with developing near real-time event stream data processing pipelines (use of Spark/pySpark preferred)

• Experience working with PII and regulated data

• Engagement with modern data stack community (open source and commercial)

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of the California Bay Area.

• The salary range for this role is $152,100.00 - 232,900.00 . The actual base salary a successful candidate will be offered within this 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.