<div>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 <a href="https://www.forbes.com/lists/cloud100/" target="_blank">Forbes Cloud 100 2025 List</a> and is a Y Combinator 2024 <a href="https://www.ycombinator.com/blog/yc-top-companies-2024">Breakthrough Company</a>.</div>About the team/role Were seeking an experienced Senior Data Engineer to join our Data Operations team. This team plays a crucial role in our mission by developing and maintaining the systems that conduct accurate and efficient background checks. As a Senior Data Engineer on the Data Operations team, youll work on high-impact projects that directly contribute to the core functionality of Checkrs background check services. Youll be instrumental in improving our data ingestion and processing capabilities and ensuring the reliability and accuracy of our core product. What you’ll do: <ul> <li>Create and maintain data pipelines and foundational datasets to support product/business needs.</li> <li>Design and build database architectures with massive and complex data, balancing with computational load and cost</li> <li>Develop audits for data quality at scale, implementing alerting as necessary</li> <li>Create scalable dashboards and reports to support business objectives and enable data-driven decision-making</li> <li>Troubleshoot and resolve complex issues in production environments</li> <li>Work closely with product managers and other stakeholders to define and implement new features</li> </ul> What you bring: <ul> <li>7+ years of development experience in the field of data engineering (5+ years writing PySpark)</li> <li>Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream</li> <li>Experience with ETL/ELT, stream and batch processing of data at scale</li> <li>Strong proficiency in PySpark and Python</li> <li>Expertise in  understanding of database systems, data modeling, relational databases, NoSQL (such as MongoDB)</li> <li>Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)</li> <li>Knowledge of security best practices and data privacy concerns</li> <li>Strong problem-solving skills and attention to detail</li> </ul> Nice to have: <ul> <li>Experience/knowledge of data processing platforms such as Databricks or Snowflake</li> <li>An understanding of Graph and Vector data stores</li> </ul> What you get: <ul> <li>A collaborative and fast-moving environment</li> <li>Be part of an international company based in the United States</li> <li>Learning and development reimbursement allowance</li> <li>Competitive compensation and opportunity for professional and personal advancement</li> <li>100% medical, dental, and vision coverage for employees and dependents</li> <li>Additional vacation benefits of 5 extra days and flexibility to take time off</li> <li>Reimbursement for work from home equipment</li> </ul> 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. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.  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 <a href="https://checkr.com/company/careers">our website</a>. The base salary range for this role is $162,000 to $190,000 in San Francisco, CA.  The base salary range for this role is $137,000 to $161,000 in Denver, CO. Equal Employment Opportunities at Checkr Checkr is committed to hiring talented and qualified individuals with diverse backgrounds for all of its tech, non-tech, and leadership roles. Checkr believes that the gathering and celebration of unique backgrounds, qualities, and cultures enriches the workplace. Checkr also welcomes the opportunity to consider qualified applicants with prior arrest or conviction records. Checkr’s commitment to diversity extends to hiring talented individuals in spite of a prior criminal history in accordance with local, state, and/or federal laws, including the <a href="http://sfgov.org/olse/sites/default/files/Document/FCO%20Art.%2049%20Official%20Notice%20to%20print%202017.pdf">San Francisco’s Fair Chance Ordinance</a>. #LI-TD1

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