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Cars Commerce

Senior Analytics Platform Engineer

Reposted 4 Hours Ago
Remote
Hiring Remotely in United States
104K-130K Annually
Senior level
Remote
Hiring Remotely in United States
104K-130K Annually
Senior level
Own and operate the analytics platform: design and deploy the semantic/metrics layer, administer the data catalog and self-service BI tooling, optimize Amazon Redshift performance, ensure platform reliability/observability, manage security and access policies, and lead tool migrations and vendor evaluations to enable self-service analytics at scale.
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Be essential at Cars Commerce


At Cars Commerce, we’re fanatical about simplifying everything about car buying and selling. We do right by our customers and consumers to better connect the industry with simplified and tierless technology to enhance, measure and drive local automotive retail. Whether through our No.1 most recognized marketplace, Cars.com, our industry-leading digital experience, Dealer Inspire, our trade and appraisal technology, AccuTrade, our reputation-based digital wholesale auction marketplace, Dealerclub, or our new Cars Commerce Media Network, Cars Commerce is essential for success in the automotive industry.


No one ever travels alone here: at its core, Cars Commerce is collaboration. In fact, it’s built into the very fabric of our shared values. We like to say we Rise Together – putting people at the center of what we do, from consumer to customer to community. Life at Cars Commerce makes it easy when we share the ethos to be Open to All, encouraging open-minded communication because we know diverse thinking yields better outcomes. But critical to our success is Caring to Challenge and Taking Ownership, fueling a competitive spirit in a respectful environment where we think about tomorrow but act today. At our foundation, we have integrity, Doing the Right Thing, even when it’s hard. It’s our shared commitment to these values that makes Cars Commerce a place where growth becomes not only possible, but downright unavoidable.


But don't take our word for it. We are proud to be named one of Built In's 2026 Best Places to Work in Chicago and across the U.S. Ready to make your mark? Join a team that's driving real change in the automotive industry.

About the Role

[Remote. May require onsite interviews]

Join us in shaping a future of Automotive Commerce. Cars Commerce builds solutions for automotive dealerships, manufacturers, and consumers. Our driving force is to deliver a single platform that simplifies everything about buying and selling cars.

Our Data and AI Platform team  is embarking on a transformational journey, building innovative and integrated services that redefine how we deliver value to our customers and consumers alike. This is a rare opportunity to join a data-first company at a genuine inflection point — with strong leadership, a clear vision, and an enormous amount of meaningful work to be done. For a data professional who wants to build, create, and make a real impact — this is the place and the moment.

About You 

As an Analytics Engineer on our Data  Engineering Team, you will help revitalize our Data  services and tooling across our platform with a comprehensive technical strategy to simplify and build scalable systems. This is an exceptional opportunity to shape the future of our platforms and drive meaningful change at scale, making a lasting impact within the automotive industry.

Are you a data platform builder who loves owning things end-to-end? If so — we've got something really exciting for you! 

We're on a mission to build something truly foundational at Cars Commerce — a governed semantic/metrics layer, a data catalog, and a self-service analytics tool that puts the power of data directly into the hands of our business users. This isn't a maintenance role — this is a build-from-the-ground-up, make-your-mark opportunity! 

As our Analytics Engineer, you'll own the infrastructure, deployment, performance, and operations across all three platforms — deciding how each tool gets deployed, secured, monitored, and tuned for speed, reliability, and cost-efficiency in production. Real ownership. Real impact. 

You'll partner closely with our BI, Data Warehouse, Data Science, and ML Engineering teams — all depending on a healthy, well-performing data platform — while working right in the heart of our single source of truth initiative, built from the Data Lake up.

This is a broad platform ownership role by design — semantic layer infrastructure, catalog administration, self-service BI tooling, and warehouse performance tuning all in one. A fast-moving, high-impact environment with a compelling AI roadmap, real-time data ambitions, and the unique challenge of unifying data across multiple platforms 

Why You'll Be Excited About This Role

This opportunity enables you to...

  • Lead the technical architecture of our semantic and metrics layer, including infrastructure deployment, API design, pre-aggregation strategies, and enforcing robust authentication and row-level security protocols.

  • Manage the core governance infrastructure by administering Atlan—including crawl schedules and AI-driven enrichment—while maintaining the policy center for data access, PII classification, and compliance.

  • Oversee the self-service analytics platform operations, focusing on licensing, connection management, and version upgrades, ensuring high-quality platform administration rather than individual content creation.

  • Drive Amazon Redshift performance optimization in alignment with the platform, defining and tuning queries to support semantic layer pre-aggregation and business intelligence patterns.

  • Assume accountability for platform health, including uptime monitoring, observability alerting, and tracking compute and licensing expenditures across the data stack.

  • Provide technical leadership during tool migrations and contribute infrastructure and operability expertise to the evaluation and RFP processes for new semantic and BI technologies.

We're Excited About You Because…

  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

  • Five plus years of experience in data engineering or platform engineering, with meaningful ownership of production data infrastructure.

  • Deep, hands-on experience tuning Amazon Redshift for performance — distribution/sort key design and compression encoding, WLM or concurrency-scaling/Serverless configuration, materialized views and result caching for query acceleration, and reading/optimizing execution plans. This is a hard requirement.

  • Experience administering a data catalog or governance platform — Atlan, Collibra, Alation, DataHub, or similar.

  • Experience administering an enterprise BI or self-service analytics platform — Tableau Server/Cloud, Looker, Sigma, Omni, Power BI, or similar — including licensing, security model, and workspace/connection management.

  • Experience with a semantic layer, metrics layer, or query acceleration tool (Cube, Omni, dbt Semantic Layer, AtScale, LookML, or comparable), or a demonstrated ability to ramp quickly on a new one given the Redshift and platform-administration depth above.

  • Solid understanding of API layer design, authentication/authorization patterns, and row-level security implementation.

  • Experience with observability and monitoring tooling — Datadog, Metaplane, CloudWatch, or similar — including setting up alerting and being accountable for uptime.

  • Expertise in SQL or similar query languages (PL/SQL, DDL, HiveQL, or SparkSQL) for complex data manipulation.

  • Strong programming skills in Python, Scala, or Java, with a focus on automation and engineering efficiency.

  • Experience managing source code via GitHub and architecting CI/CD pipelines for data using Jenkins, GitHub Actions, or CircleCI.

Bonus:

  • Prior experience owning three or more of these tool categories (catalog, semantic layer, BI platform, warehouse performance) simultaneously on a lean team.

  • Experience supporting a BI platform migration (e.g., moving from one self-serve tool to another) from the infrastructure side.

  • Experience optimizing cloud data warehouse costs at scale (Redshift, Snowflake, or BigQuery).

  • Direct production experience with Cube.dev, Omni, or a comparable semantic layer product specifically



In the spirit of pay transparency, we are excited to share the base salary range for this position. In addition to base salary, some roles are eligible for our bonus and/or equity programs, depending on level and role. Regular full-time positions are eligible for our comprehensive benefits package. If you are hired at Cars Commerce, your final base salary compensation will be determined based on factors such as skills and/or experience. If the salary range is close to what you're seeking, then we encourage you to apply and learn more about the total compensation package for this position.

Salary Range

$104,100.00-130,150.00

Our Comprehensive Benefits Package includes:

  • Medical, Dental & Vision Healthcare Plans

  • New Hire Stipend for Home Office Set-Up

  • Generous PTO

  • Paid Holidays, Floating Holiday, Volunteer Day, Recharge Day

Learn more about our Benefits, Perks, & Culture on our LinkedIn Life Pages!

For US-based Positions: Applicants must be authorized to work in the United States. Please note that we are unable to sponsor employment visas at this time.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Applicants: Click here to review our Privacy Policy for Applicants. For current employees, please click here to review our California Privacy Policy for Employees.

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