Staff Data Engineer

Checkr, Inc.; San Francisco (CA); On-site; USD 224,000 - 264,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Fertility/adoption stipend

Learning allowance

Flexible PTO

Wellness stipend

Job summary

Checkr, Inc. in San Francisco, CA is hiring a Staff Data Engineer for the People Data team. You’ll own the core data platform services, data pipelines, and architecture that power Checkr's AI-powered verification platform across multiple products.

You will design end-to-end data solutions, mentor junior engineers, and collaborate with product teams to deliver high-quality, customer-focused features. This role requires strong PySpark, Python, and SQL expertise and deep data engineering knowledge.

Qualifications

• 10+ years designing, implementing, and delivering highly scalable data platforms.
• Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing.
• Expert-level proficiency in PySpark, Python, and SQL.
• Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB).

Responsibilities

• Architect, design, lead, and build an end-to-end data platform.
• Work as an independent contributor with minimal oversight and strong ownership.
• Mentor and guide junior engineers to deliver complex features.
• Collaborate with customers and stakeholders to resolve ambiguities and ship features.
• Partner with teams to design and architect new features.
• Experimentation mindset to validate customer needs and ship MVPs.
• Maintain high quality in software deliverables.
• Monitor, triage, and resolve production issues.
• Create and maintain data pipelines and foundational datasets.

Skills

PySpark

Python

SQL

Data modeling

Relational databases

NoSQL databases

Big data technologies

Kafka

Spark

Iceberg

AWS stack (EKS EMR Serverless GlueAth,

Tools

MongoDB

Databricks

Snowflake

Kubernetes

Docker

Job description

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.

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 Staff Data Engineer on the People Data team, you\'ll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and people records that underpin Checkr\'s Workforce, Mortgage, Tenant, Trust, and Personal products, making it foundational to the company\'s AI-powered verification platform and every high-stakes decision our customers make. In this role, you\'ll own the core services, data pipelines, and architecture that keep this platform scalable, reliable, and ready for the next generation of Checkr products. You\'ll solve complex distributed systems and data engineering challenges while influencing the technical direction of one of the company\'s most critical platforms.

What You\'ll Do

• Architect, design, lead, and build an end-to-end, performant, reliable, scalable data platform.
• Work as an independent contributor: solve problems and deliver high-quality solutions with minimal oversight and strong ownership.
• Mentor and guide junior engineers to deliver complex, next-generation features.
• Bring a customer-centric, product-oriented mindset. Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems.
• Partner with engineering, product, design, and other stakeholders to design and architect new features.
• Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP.
• Quality mindset: you treat quality as a non-negotiable part of your software deliverables.
• Analytical mindset: instrument and deploy new product experiments with a data-driven approach.
• Monitor, triage, and resolve production issues for the team\'s services.
• Create and maintain data pipelines and foundational datasets to support product and business needs.

What You Bring

• 10+ years designing, implementing, and delivering highly scalable, performant data platforms.
• Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing.
• Expert-level proficiency in PySpark, Python, and SQL.
• Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB).
• Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.).
• Knowledge of security best practices and data privacy concerns.
• Strong problem-solving skills and attention to detail.
• Nice to have: Experience or knowledge of data processing platforms such as Databricks or Snowflake.
• An A-player mindset with a strong bias for action: you raise the bar, move with urgency, stay resilient through ambiguity, and take ownership to deliver meaningful outcomes.

Pay Transparency DisclosureWe use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website. On-target Earnings OR Base Salary range (San Francisco, CA) $224,000—$264,000 USD On-target Earnings OR Base Salary range (Denver, CO) $190,000—$223,000 USD

What We Offer

• 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

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.

Equal Employment Opportunities at CheckrCheckr 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.

Applicant Privacy PolicyIf you are a California resident or are located in Alberta or British Columbia, our Applicant Privacy Policy applies to our collection and processing of your personal information when you apply for a role with us or otherwise participate in our recruitment process.