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About the Role

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. 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.

Responsibilities

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

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

Skills

Python
PySpark
SQL
Data structures
Algorithms
Relational databases
NoSQL databases
MongoDB
ETL/ELT
Batch processing
Stream processing
Kafka
Spark
Iceberg
Data lakes
AWS
EKS
EMR
Glue
Athena
S3
Data modeling
Domain modeling
System architecture
Security best practices
Data privacy
Databricks
Snowflake

Location

San Francisco, CA
Denver, CO

Work Type

Hybrid

Experience Level

Senior

Salary/Compensations

$185,000—$218,000 USD (San Francisco, CA)
$157,000—$185,000 USD (Denver, CO)

Benefits

A fast-paced and collaborative environment
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
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 the Company

Checkr 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.

Equal Opportunity

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.