Senior Data Engineer

About the Role

We are seeking a strong Senior Data Engineer to build and maintain scalable, high-quality data pipelines powering Checkr’s centralized data platform. As a Senior Engineer, you will independently deliver complex features, contribute to system design, and collaborate with cross-functional partners to support the next generation of our data products.

What You’ll Do

• Independently design and implement complex batch and streaming pipelines using PySpark, SQL, and AWS services.
• Navigate ambiguity with guidance, translating high-level direction into well-scoped, high-quality technical solutions.
• Work cross-functionally with product, design, analysts, and engineers to ship impactful features and improve data workflows.
• Contribute to architectural discussions and system improvements without owning long-term strategy.
• Ensure pipeline reliability and data quality, implementing testing, monitoring, and observability best practices.
• Investigate and resolve production issues for services owned by the team.
• Write performant, maintainable code that aligns with engineering standards.
• Support the team in building foundational datasets that enable analytics, ML, and customer-facing features.

What You Bring

• 6–7+ years of experience in data engineering with strong hands-on execution ability.
• Proficiency with PySpark, Python, and SQL, including debugging and performance optimization.
• Experience building large-scale pipelines (up to terabytes or larger), with exposure to streaming systems such as Kafka.
• Strong knowledge of data modeling, relational databases, and NoSQL stores.
• Experience with AWS services such as EMR, Glue, Athena, Lambda, and S3.
• Exposure to Iceberg or other lakehouse technologies (nice to have).
• Understanding of security and data privacy fundamentals.
• Strong problem-solving skills, attention to detail, and ability to execute independently.
• Knowledge of Databricks, Snowflake, or Graph/Vector stores is a plus.