About
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkrs 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. About The Team/Role
We're 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, you'll work on high-impact projects that directly contribute to the core functionality of Checkr's background check services. You'll be instrumental in improving our data ingestion and processing capabilities and ensuring the reliability and accuracy of our core product. What youll do Create and maintain data pipelines and foundational datasets to support product/business needs. Design and build database architectures with massive and complex data, balancing with computational load and cost. Develop audits for data quality at scale, implementing alerting as necessary. Create scalable dashboards and reports to support business objectives and enable data-driven decision-making. Troubleshoot and resolve complex issues in production environments. Work closely with product managers and other stakeholders to define and implement new features.
What you bring
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.). An understanding of Graph and Vector data stores (preferred). 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.
What you get
A collaborative and fast-moving environment. 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 Checkrs core values is Transparency. To live by that value, weve 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. We comply with the San Franciscos Fair Chance Ordinance. Legitimate Checkr emails will always include our official domain name after the @ symbol (e.g., name@checkr.com). #J-18808-Ljbffr
Nice-to-have skills
- Kafka
- PySpark
- Python
- SQL
- Spark
Work experience
- Data Engineer
Languages
- English
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