Staff Data Engineer

Worldwide | Sept. 1, 2026

Report as Closed

Company: Checkr

Country: Worldwide

Salary: $48,000 - $60,000

Type: Remote

Employment: Full-time

Description: Checkr is a San Francisco-based tech company that modernizes background checks using AI and automation. Founded in 2014, it helps over 100,000 employers make faster, fairer, and more compliant hiring decisions. Its platform handles criminal, driving, and educational

• 10+ years designing, implementing, and delivering highly scalable and high-performance data platforms.
• Experience building large-scale data processing pipelines using ETL/ELT, batch processing, and streaming processing.
• Expert proficiency in PySpark, Python, and SQL.
• Experience in data modeling, relational databases, and NoSQL data warehouses (e.g., MongoDB).
• Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.).
• Knowledge of security best practices and data privacy considerations.
• Strong problem-solving skills and attention to detail.
• Desirable: experience or knowledge of data processing platforms such as Databricks or Snowflake.
• A-team mindset with a strong bias toward action: you raise the bar, act with urgency, remain resilient in the face of ambiguity, and take ownership to deliver meaningful results.

As a Senior Data Engineer (Staff) on the People Data team, you’ll help build and evolve the centralized platform that powers every Checkr product. This platform stores and serves the identity and personal records that underpin Checkr’s Workforce, Mortgage, Tenant, Trust, and Personal products, making it fundamental to the company’s AI-powered verification platform and every high-stakes decision our clients make.

• Architect, design, lead, and build a high-performance, reliable, and scalable end-to-end data platform.
• Work as an independent contributor: solve problems and deliver high-quality solutions with minimal supervision and a strong sense of ownership.
• Mentor and guide junior engineers to deliver complex, next-generation features.
• Bring a customer-centric and product-oriented mindset. Collaborate with customers and internal stakeholders to resolve product ambiguities and launch features that solve real customer problems.
• Collaborate with engineering, product, design, and other stakeholders to design and architect new features.
• Experimental mindset: autonomy and empowerment to validate a customer need, gain team buy-in, and launch a rapid MVP.
• Quality mindset: you treat quality as a non-negotiable part of your software deliverables.
• Analytical mindset: Set up and implement new product experiments using a data-driven approach.
• Monitor, triage, and resolve production issues for the team’s services.
• Create and maintain critical data pipelines and datasets to support product and business needs.

• A collaborative and fast-paced environment
• Be part of an international company headquartered in the United States
• Allocation of reimbursement for learning and development
• Competitive compensation and opportunities for professional and personal growth
• 100% coverage for medical, dental, and vision coverage for employees and dependents
• V

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