Checkr is looking for a Staff Data Engineer to join our Data Platform team. You will architect, build, and lead high-impact projects for our centralized data platform, which is critical for customer-facing products and our mission to build trusted workplaces.

What You'll Do

Architect, design, lead, and build an end-to-end performant, reliable, and scalable data platform.
Act as an independent individual contributor who solves problems and delivers high-quality solutions with a high level of ownership.
Mentor, guide, and work with junior engineers to deliver complex features.
Collaborate with customers and internal stakeholders to resolve product ambiguities and ship impactful features.
Partner with engineering, product, design, and other stakeholders in designing and architecting new features.
Validate customer needs, get team buy-in, and ship rapid MVPs with an experimentation mindset.
Insist on quality as a critical pillar of your software deliverables.
Instrument and deploy new product experiments with a data-driven approach.
Monitor, investigate, triage, and resolve production issues for services owned by the team.
Create and maintain data pipelines and foundational datasets to support product and business needs.
Design and build database architectures with massive and complex data, balancing computational load and cost.
Develop audits for data quality at scale and implement alerting as necessary.
Create scalable dashboards and reports to enable data-driven decision-making.
Troubleshoot and resolve complex issues in production environments.

What We're Looking For

10+ years designing, implementing, and delivering highly scalable and performant data platforms.
Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines for both batch and stream processing.
Experience with ETL/ELT and stream and batch processing of data at scale.
Expert-level proficiency in PySpark, Python, and SQL.
Expertise in data modeling, relational databases, and NoSQL data stores such as MongoDB.
Experience with big data technologies like Kafka, Spark, Iceberg, Datalake, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3).
Knowledge of security best practices and data privacy concerns.
Strong problem-solving skills and attention to detail.
Experience or knowledge of data processing platforms such as Databricks or Snowflake.

Nice to Have

An understanding of Graph and Vector data stores.

Technical Stack

PySpark, Python, SQL
MongoDB, Kafka, Spark, Iceberg, Datalake
AWS EKS, AWS EMR, AWS Serverless, AWS Glue, AWS Athena, AWS S3
Databricks, Snowflake

Team & Environment

You will be an individual contributor on the Data Platform team at Checkr.

Benefits & Compensation

Learning and development allowance.
100% medical, dental, and vision coverage.
Up to $25K reimbursement for fertility, adoption, and parental planning services.
Flexible PTO policy.
Monthly wellness stipend.
Home office stipend.
In-office perks: lunch four times a week, commuter stipend, snacks and beverages.
Compensation: San Francisco, CA: $196,000 - $230,000 USD; Denver, CO: $166,000 - $195,000 USD + competitive equity compensation.

Work Mode

This is a hybrid role based in Denver, Colorado, United States or San Francisco, California, United States.

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. We believe in hiring people of all backgrounds, including those whose histories are impacted by the justice system.