Why This Job is Featured on The SaaS Jobs
Data platforms sit at the center of modern SaaS businesses, translating product usage and operational signals into reliable inputs for customer-facing features. This Data Engineer role is featured because it focuses on a centralized platform that underpins multiple products, a common SaaS pattern where shared data infrastructure becomes a leverage point for the wider roadmap. The emphasis on scale, security, and governance also reflects the realities of SaaS environments handling sensitive, high-volume data.
From a SaaS career perspective, the work spans the full lifecycle of “platform as product”: building resilient pipelines, creating internal tooling, and enabling repeatable ML workflows that other teams can adopt. Experience here tends to compound—strong data foundations improve analytics, personalization, risk models, and operational decisioning across a subscription business. The role also touches modern delivery practices (CI/CD and containerized infrastructure), which are broadly transferable across SaaS data organizations.
This position is best suited to engineers who prefer foundational work with clear downstream impact rather than isolated analysis projects. It will appeal to those who enjoy partnering with product and ML stakeholders, thinking in systems, and improving reliability over time. The mention of mentoring suggests a fit for someone ready to influence standards and elevate a platform team’s practices.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the team/role
We're seeking an experienced Data Engineer to join our Data Platform team. This team plays a crucial role in our mission by developing and maintaining scalable data platforms for fair and safe hiring decisions.
As a Data Engineer on the Data Platform team, you'll work on Checkr’s centralized data platform, critical for the company's vision. The centralized data platform is the heart of all key customer-facing products. You will work on high-impact projects that directly contribute to the next generation products. core product.
What you’ll do:
- 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:
- 2+ years of industry-related experience in a backend or data engineering role and a Bachelor’s degree or equivalent experience.
- Programming expertise in Python or SQL. Must have proficiency in one and at least experience in the other.
- Experience developing and maintaining production data services
- Experience with data modeling, security, and governance
- Familiarity with modern CI/CD practices and tools (e.g., gitlab and kubernetes)
- Experience and passion for mentoring other data engineers
