Senior Data Engineer

Checkr, Inc.

full-time

Posted on: 9/19/2025

Origin: • 🇺🇸 United States • California

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💰 $162,000 - $190,000 per year

Senior

AWSCloudETLKafkaMongoDBNoSQLPySparkPythonSpark

About the role

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
Troubleshoot and resolve complex issues in production environments
Work closely with product managers and other stakeholders to define and implement new features
Improve data ingestion and processing capabilities and ensure the reliability and accuracy of Checkr's background check services

7+ years of development experience in the field of data engineering (5+ years writing PySpark)
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
Strong proficiency in PySpark and Python
Expertise in understanding of database systems, data modeling, relational databases, NoSQL (such as MongoDB)
Experience with big data technologies such as Kafka, Spark, Iceberg, Datalake and AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
Knowledge of security best practices and data privacy concerns
Strong problem-solving skills and attention to detail
Nice to have: Experience/knowledge of data processing platforms such as Databricks or Snowflake
Nice to have: An understanding of Graph and Vector data stores