checkr

Staff Data Engineer

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At a Glance

Location
Denver, Colorado, United States; San Francisco, California, United States
Experience
10+ years
Posted
2026-07-23T12:06:38-04:00

Key Requirements

Required Skills

AWSDatabricksETLKafkaMongoDBPythonSQLSnowflakeSpark

Domain Knowledge

  • Medical

Requirements

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.

Responsibilities

Architect, design, lead, and build an end-to-end, performant, reliable, scalable data platform.

Mentor and guide junior engineers to deliver complex, next-generation features.

Bring a customer-centric, product-oriented mindset.  Collaborate with customers and internal stakeholders to resolve product ambiguities and ship features that solve real customer problems.

Partner with engineering, product, design, and other stakeholders to design and architect new features.

Experimentation mindset: autonomy and empowerment to validate a customer need, get team buy-in, and ship a rapid MVP.

Quality mindset: you treat quality as a non-negotiable part of your software deliverables.