We are looking for a Senior Data Engineer with a strong foundation in architecting modern cloud-based data pipelines that help to empower data-driven decision making across teams and organizations. As Checkr scales, so does the need to evolve our underlying data infrastructure. You will have the opportunity to work with key business stakeholders and engineering partners to help shape the long-term data strategy of our company and to build a data ecosystem that supports that strategy. While our current data platform uses Snowflake, dbt, Airflow, Kafka, and Spark, you will also evaluate open-source tools and vendors that expand our data capabilities. You will help ensure that our foundational data services and processes scale together with the rest of the company. This is an exciting opportunity to play a crucial role in the growth of Checkr!

Responsibilities:

• Build, maintain and optimize critical data pipelines that serve as the foundation for Checkr’s data platform and products,
• Build tools that help streamline the management and operation of our data ecosystem,
• Architect systems for scale and security to keep up with a huge influx of data as Checkr continues to grow,
• Architect systems that empower repeatable and scalable machine learning workflows,
• Identify innovative applications of data that can enable new products or insights and enable other teams at Checkr to maximize their own impact

What you bring:

• 6+ years of industry-related experience in a backend or data engineering role and a Bachelor’s degree or equivalent experience.
• Experience architecting, developing and maintaining production data services
• Familiarity with modern CI/CD practices and tools (e.g., gitlab and kubernetes) 
• Experience and passion for mentoring other data engineers
• Deep programming expertise in Python and SQL