Filtr uses AI to scan 1000+ jobs and finds postings that perfectly matches your resume

Checkr is building the data platform to power safe and fair decisions. The Data Platform team develops and maintains scalable data platforms for fair and safe hiring decisions, working on Checkr’s centralized data platform which is critical for the company's vision and the heart of all key customer facing products.

Requirements

• 10+ years of designing, implementing and delivering highly scalable and performant data platform.
• Experience building large-scale (100s of Terabytes and Petabytes) data processing pipelines - batch and stream
• Experience with ETL/ELT, stream and batch processing of data at scale
• Expert level proficiency in PySpark, Python, and SQL
• Expertise in data modeling, relational databases, NoSQL (such as MongoDB) data stores
• Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake, and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
• Experience/knowledge of data processing platforms such as Databricks or Snowflake.

Responsibilities

• Architect, design, lead and build end-to-end performant, reliable, scalable data platform.
• 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
• Monitor, investigate, triage, and resolve production issues as they arise for services owned by the team
• Troubleshoot and resolve complex issues in production environments

Other

• Be an independent individual contributor who can solve problems and deliver high-quality solutions without oversight and a high level of ownership.
• Mentor, guide and work with junior engineers to deliver complex and next-generation of features.
• Bring a customer-centric, product-oriented mindset to the table - 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
• Strong problem-solving skills and attention to detail