Senior Data Engineer

Full Timesenior

Denver, Colorado, United States; San Francisco, California, United StatesPosted 7 days ago

Role Overview

Checkr is hiring a Senior Data Engineer. This is a full-time role in Denver, Colorado, United States; San Francisco, California. Part of Checkr's Data Engineering hiring, posted last week. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Data Engineering roles is $153k-$205k (based on 27 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonSQLAWSMongoDBSnowflakeKafkaSparkEMR

Job description

About Checkr
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.

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.

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

What you bring

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

#LI-TD1

Pay Transparency Disclosure

We 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)

$185,000—$218,000 USD

On-target Earnings OR Base Salary range (Denver, CO)

$157,000—$185,000 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 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.

Applicant Privacy Policy
If 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.

*Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com or name@ext.checkr.com).

About Checkr

Checkr

checkr.org

Data EngineeringOn-site

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Frequently Asked Questions

How do I apply for the Senior Data Engineer position at Checkr?

Use the Apply button above to submit your application directly to Checkr. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Engineer position at Checkr located?

This position is based in Denver, Colorado, United States; San Francisco, California. Checkr has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Engineer at Checkr earn?

Checkr has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Engineer role at Checkr posted?

This role was posted on July 14, 2026 (7 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Engineer role at Checkr require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. Checkr lists their specific requirements in the description below, so review the must-have qualifications closely before applying.