Senior Software Engineer, Data

Job details

Work model

On-site

Salary

Not listed by source

Location

Denver, Colorado, United States; San Francisco, California, United States

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How this role compares at Checkr

Checkr has 49 live roles in MeritLog’s job list across 12 job types, and 11 of them are in engineering. 0 of those jobs list a pay range. That is 0%.

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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, 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. We're seeking an experienced Senior Software Engineer to join our Data Platform team. This team plays a crucial role in our mission by building and maintaining scalable data platforms that support fair, safe hiring decisions. As a Senior Software 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. As a Senior Software Engineer in the data organization, 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 core services and data pipelines for Checkr's centralized data platform • Bring a customer-centric, product-oriented mindset to the table by collaborating with customers and internal stakeholders to resolve product ambiguities and ship impactful features • Partner with engineering, product, and data teams across Workforce, Tenant, Trust, and Personal to turn ambiguous problems into shipped features • Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP • Deliver performant, reliable, and secure code, with quality and testing as a default rather than a phase • Participate in on-call; monitor, triage, and resolve production issues for services the team owns • Mentor engineers and raise the bar through design and code review What you bring: • 5+ years of development experience in the field of software engineering, preferably working with data • Strong proficiency in Python or similar languages, and strong SQL skills • Experience with ETL/ELT, and stream and batch processing of data at scale • Experience running data processing workloads in the cloud at scale; AWS expertise (S3, EMR, Glue, Athena, EKS, Lambda) preferred • Comfort working with AI tools day-to-day, and the ability to build simple AI-powered tools or workflows that boost team or org productivity • Good understanding of database systems and data modeling, across both relational (SQL) and NoSQL databases (such as MongoDB) • Strong problem-solving skills and attention to detail Nice to have: • Experience with big data technologies such as PySpark, Kafka, Spark, Iceberg, and Datalake architectures • Experience with real-time, low-latency data processing • Experience/knowledge of data processing platforms such as Databricks or Snowflake. • An understanding of Graph and Vector data stores #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).

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