Senior Software Engineer, Data

Checkr is building the data platform to power safe and fair decisions. We are 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. You will 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.

• Design, build, and ship core services and data pipelines for Checkr's centralized data platform
• Bring a customer-centric, product-oriented mindset 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

• 5+ years of development experience in 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

• 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

Base Salary range (San Francisco, CA): $185,000—$218,000 USD. Base Salary range (Denver, CO): $157,000—$185,000 USD.

We offer a fast-paced and collaborative environment, learning and development allowance, competitive cash and equity compensation, 100% medical, dental, and vision coverage, up to $25K reimbursement for fertility, adoption, and parental planning services, flexible PTO policy, and 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.

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.