Senior Data Engineer

About the role

As a Senior Data Engineer on the People Data team at Checkr, you will play a crucial role in building and scaling the centralized people data platform. This platform powers Checkr's products, including AI verification used in hiring decisions.

Responsibilities

• Design, build, and ship new capabilities and data pipelines for the People Data platform
• 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
• Maintain 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

Requirements

• 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

Qualifications

• Nice to have: experience with data processing platforms such as Databricks or Snowflake

Skills

• Strong problem-solving skills
• Excellent communication and collaboration abilities
• Ability to work independently and as part of a team

Benefits

• A competitive salary range based on location
• Learning and development allowance
• 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

Pay

On-target Earnings OR Base Salary range (San Francisco, CA): $185,000 - $218,000 USD
On-target Earnings OR Base Salary range (Denver, CO): $157,000 - $185,000 USD

Schedule

Individuals are expected to work from the office 3+ days a week. In-office perks include 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.