Senior Data Analytics Engineer

CarGurus • Boston, MA

105d

About The Position

At CarGurus, we believe data is only as powerful as the decisions it enables. We’re looking for a Data Analytics Engineer who is not only excited to write clean, efficient data models but also motivated by the impact those models have on business outcomes. You’ll help us deliver trusted, actionable insights to stakeholders across the company—enabling smarter decisions in product, marketing, sales, and beyond. In this role, you’ll work at the intersection of analytics, engineering, and business strategy. As a Senior Data Analytics Engineer, you will take on more complex projects, lead initiatives, and drive innovation in data modeling and analytics processes. You’ll partner closely with data analysts, software engineers, and business leaders to design data models that go beyond reporting: they drive action. You’ll be encouraged to deepen your software engineering skills, contribute to shared data infrastructure, and think like an owner as we build the future of data at CarGurus.

Requirements

• 5–7 years of experience in analytics engineering, data engineering, or a closely related role.
• Strong proficiency in SQL and experience working with cloud data warehouses (Snowflake or similar).
• Familiarity with dbt or other data modeling frameworks and modern data development workflows (version control, CI/CD, testing).
• Experience working in Python for processing, scripting, and data transformation.
• A product mindset—you care about delivering value to end users, not just writing queries.
• Proven track record of leading complex projects and delivering impactful data solutions.
• Interest in growing your engineering skills and contributing to shared technical foundations.
• Experience working with Looker or another semantic modeling layer.
• Familiarity with software engineering principles like abstraction, modularity, and testing in data workflows.
• Exposure to tools like Airflow, GitHub Actions, or Terraform.

Nice To Haves

• Experience in a high-growth tech environment or with two-sided marketplaces.

Responsibilities

• Design, build, and maintain scalable, reliable data models using tools like dbt, Snowflake, Looker, and Python.
• Collaborate with data analysts and business stakeholders to translate ambiguous questions into structured data solutions.
• Write modular, testable code that is version-controlled and reviewed through a collaborative development process.
• Participate in efforts to improve data infrastructure, data quality, and data literacy across the organization.
• Identify and advocate for technical and analytical improvements that unlock new insights or efficiencies.
• Mentor others in best practices for analytics engineering, from modeling patterns to code hygiene.
• Lead complex projects and initiatives within the Data Analytics Engineering team and across the organization.
• Drive innovation in data modeling and analytics processes to enhance business outcomes.

Benefits

• Equity for all employees, both when they start and as they continue to grow with us.
• Career development and corporate giving programs.
• Employee resource groups (ERGs) and communities to help build connections.
• Flexible hybrid model and robust time off policies to encourage work-life balance.
• Daily free lunch, a new car discount, meditation and fitness apps, commuting cost coverage, and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees