Senior Software Engineer

About Checkr
Checkr builds people infrastructure for the future of work. We've designed a faster—and fairer—way to screen job seekers. Established in 2014, Checkr puts modern technology powered by machine learning in the hands of hiring teams, helping to hire great new people with an experience that’s fast, smooth, and safe. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable. 

A career at Checkr means collaborating with brilliant minds, disrupting an industry, and opening channels of employment to often overlooked candidates. Checkr is recognized on Forbes Cloud 100 2024 List and is a Y Combinator 2023 Breakthrough Company.

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 you’ll 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:

• 5+ years of full-stack software development experience
• Strong proficiency in at least one of Ruby (preferred), Python, or Golang
• Experience with large-scale data processing - batch and stream
• Solid understanding of database systems, both SQL and NoSQL
• Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, AWS Glue, Athena, S3.
• Experience with ETL/ELT, stream and batch processing of data at scale.
• Knowledge of security best practices and data privacy concerns
• Experience with microservices architecture and RESTful APIs
• Strong problem-solving skills and attention to detail
• Advanced English communication skills and ability to work in a collaborative environment

Nice to have:

• Experience/knowledge of data processing platforms such as Databricks or Snowflake.

What you get

• A collaborative and fast-moving environment
• Be 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
• Additional vacation benefits of 5 extra days and flexibility to take time off
• Reimbursement for work from home equipment

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. 

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 San Francisco’s Fair Chance Ordinance.