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← Checkr - Chile

Staff Data Engineer

Checkr - Chile
Location
Santiago, Región Metropolitana, Chile
Posted
2 months ago
Department
Engineering
What they actually want (must-haves)
  • 10+ years designing, implementing, and delivering highly scalable, performant data platforms
  • Experience building large-scale data processing pipelines using ETL/ELT, batch, and stream processing
  • Expert-level proficiency in PySpark, Python, and SQL
  • Expertise in data modeling, relational databases, and NoSQL data stores (e.g., MongoDB)
  • Experience with big data technologies such as Kafka, Spark, Iceberg, data lakes, and the AWS stack (EKS, EMR, Serverless, Glue, Athena, S3, etc.)
  • Knowledge of security best practices and data privacy concerns
Nice to have
  • Experience or knowledge of data processing platforms such as Databricks or Snowflake
What the job really is

As a Staff Data Engineer on the People Data team at Checkr, you will architect and build a scalable data platform that supports various Checkr products. Your role involves solving complex data engineering challenges, mentoring junior engineers, and collaborating with stakeholders to deliver high-quality solutions. You will also be responsible for monitoring production issues and maintaining data pipelines to meet business needs.

Benefits
  • $3,000 USD per year learning and development reimbursement allowance
  • Competitive compensation and opportunity for professional and personal advancement
  • 100% medical, dental, and vision coverage for employees and dependents
  • Additional vacation benefits of 5 extra days and flexibility to take time off
  • In-office perks such as lunch five times a week, a commuter stipend, and an abundance of snacks and beverages
Things to weigh
  • No salary listed for remote positions, only for Santiago, Chile
  • Hybrid work environment requires in-office presence 3+ days a week
Job score2.8/5
Benefits3/5
Freshness1/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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