Senior Data Engineer

Checkr Denver, Colorado, United States; San Francisco, California, United States 10h ago

engineering

About Checkr
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr’s innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.

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.

About the team/role

We're seeking an experienced Senior Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.

As a Staff Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer-facing products. You will work on high-impact projects that directly contribute to the next generation of products.

What you’ll do:

Be an independent individual contributor who can solve problems and deliver high-quality solutions with minimal/high-level oversight and a high level of ownership
Bring a customer-centric, product-oriented mindset to the table - collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features
Partner with engineering, product, design, and other stakeholders in designing and architecting new features
Experimentation mindset - autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP
Quality mindset - you insist on quality as a critical pillar of your software deliverables
Analytical mindset - instrument and deploy new product experiments with a data-driven approach
Deliver performant, reliable, scalable, and secure code for a highly scalable data platform
Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team

What you bring:

Bachelor's degree in a computer-related field or equivalent work experience
6-7+ years of development experience in the field of data engineering (5+ years writing PySpark)
Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
Experience with ETL/ELT, stream and batch processing of data at scale
Strong proficiency in PySpark, Python, and SQL
Expertise in understanding database systems, data modeling, relational databases, NoSQL (such as MongoDB)
Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and 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/knowledge of data processing platforms such as Databricks or Snowflake.
An understanding of Graph and Vector data stores (preferred)

What you get:

A collaborative and fast-moving environment
Be part of an international company based in the United States
Learning and development reimbursement allowance
Competitive compensation and opportunity for professional and personal advancement
100% medical, dental, and vision coverage for employees and dependents
Reimbursement for work from home equipment

Pay Transparency Disclosure

One of Checkr’s core values is Transparency. To live by that value, we’ve made the decision to disclose salary ranges in all of our job postings. 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)

$162,000—$190,000 USD

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

$137,000—$161,000 USD

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. Starting January 2026, hub-based employees will be expected to work from the office 3 days per week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

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.

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