The vacancy is well-structured with clear responsibilities, compensation, and tech stack, but lacks explicit KPIs and company links.
Job description
Join our Data Platform team, which is responsible for developing and maintaining scalable data platforms that power Checkr’s fair and safe hiring decisions. The centralized data platform is the heart of all key customer-facing products, and you’ll work on high-impact projects contributing to our next-generation products.
Responsibilities
- Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
- Mentor, guide and work with junior engineers.
- Collaborate with customers and internal stakeholders.
- Monitor, investigate, and resolve production issues.
- Create and maintain data pipelines and foundational datasets.
- Design and build database architectures.
- Develop audits for data quality.
- Create scalable dashboards and reports.
Requirements
- 10+ years of experience in designing and delivering scalable data platforms.
- Experience with large-scale data processing pipelines.
- Proficiency in PySpark, Python, and SQL.
- Expertise in data modeling and relational databases.
- Experience with big data technologies and AWS stack.
- Knowledge of security best practices and data privacy concerns.
- Strong problem-solving skills.
Conditions
- A fast-paced and collaborative environment.
- Learning and development allowance.
- Competitive cash and equity compensation.
- 100% medical, dental, and vision coverage.
- Up to $25K reimbursement for fertility, adoption, and parental planning services.
- Flexible PTO policy.
- Monthly wellness stipend.
