Checkr is seeking a Senior Data Engineer to build and maintain scalable, high-quality data pipelines powering their centralized data platform.
Requirements
- 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.
Benefits
- Generous Paid Time Off
- 401k Matching
- Relocation Assistance