As a Senior Data Engineer, you’ll lead the execution of core services and data pipelines, delivering reliable, high-quality solutions that keep the platform fast and accurate as our product surface grows. You’ll partner closely with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal, directly enabling the fair and safe hiring decisions at the heart of Checkr’s growth. What you’ll do

• Design, build, and ship new capabilities and data pipelines for the People Data platform, from design through release
• Lead the execution of core services with strong ownership, balancing speed to market with long-term scalability and reliability
• Build and maintain large-scale data processing pipelines (batch and streaming) that serve identity and people records across Checkr’s products
• Partner with Product and cross-functional teams to scope appropriately sized initiatives and shape a roadmap that meets business needs quarter over quarter
• Ensure platform availability and data accuracy by participating in on-call rotation, resolving production issues, and driving preventative improvements
• Mentor engineers on the team and contribute to the broader engineering organization through technical reviews, showcases, and proposals

• 5+ years of software engineering experience building scalable, performant data platforms or backend services
• Strong proficiency in Python, PySpark, and SQL, with solid Computer Science fundamentals across data structures, algorithms, and relational/NoSQL databases (e.g., MongoDB)
• Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing
• Familiarity with big data technologies such as Kafka, Spark, Iceberg, and data lakes, and the AWS stack (EKS, EMR, Glue, Athena, S3)
• Experience with data modeling, domain modeling, and system architecture, with a proven track record of writing clear, tested code
• Knowledge of security best practices and data privacy concerns, and a strong sense of ownership across the full development lifecycle
• Nice to have: experience with data processing platforms such as Databricks or Snowflake

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Pay Transparency Disclosure

• Competitive cash and equity compensation, and opportunity for advancement
• 100% medical, dental, and vision coverage
• Up to $25K reimbursement for fertility, adoption, and parental planning services
• Flexible PTO policy
• Monthly wellness stipend

At Checkr, we believe an in office work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO; San Francisco, CA; Nashville, TN; and Santiago, Chile. Individuals are expected to work from the office 3+ days a week. In-office perks are provided, such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages. A relocation stipend may be available for those willing to relocate to a Checkr hub location.

About CheckrCheckr is building the data platform to power safe and fair decisions. Over 140,000 companies and millions of people rely on Checkr for AI verification in the moments that matter most: getting a new job, a new place to live, a car ride, childcare, even a date. Customers include Uber, Pennymac, Airbnb, Doordash, Amazon, and Anthropic.

We’re a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2025 List and is a Y Combinator 2024 Breakthrough Company.

As a technical contributor on the People Data team, you’ll help build and scale Checkr’s centralized people data platform, the system that stores and serves the identity and people records powering every Checkr product., Equal Employment Opportunities at Checkr Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco’s Fair Chance Ordinance.

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