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Staff Data Engineer

Thoughtful

$190,000 - $250,000
Oct 8, 2025
Austin, TX, US • Remote, US
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Thoughtful is looking for Staff Data Engineers to help scale and strengthen their data platform to support a growing volume and complexity of data for their AI-powered Revenue Cycle Automation platform in the healthcare industry.

Requirements

  • 8-10+ years of experience building and maintaining data pipelines in production environments
  • Strong knowledge of the data lakehouse ecosystem, with an emphasis on AWS data services - particularly Glue, S3, Athena/Trino/PrestoDB, and Aurora
  • Proficiency in Python, Spark and Athena/Trino/PrestoDB for data transformation and orchestration
  • Experience managing infrastructure with OpenTofu/Terraform or other Infrastructure-as-Code tools
  • Solid understanding of data modeling, partitioning strategies, schema evolution, and performance tuning
  • Comfortable working with cloud-native data pipelines and batch processing (streaming experience is a plus but not required)

Responsibilities

  • Develop and maintain data pipelines and transformations across the stack.
  • Starting from ingesting transactional data into the data lakehouse to refining data up the medallion data architecture.
  • Tune performance, storage layout, and cost-efficiency across our data storage and query engines.
  • Help design and implement new data ingestion patterns and improve platform observability and reliability.
  • Partner with engineering, product, and operations teams to deliver well-structured, trustworthy data for diverse use cases.
  • Help establish and evolve best practices for our data infrastructure, from pipeline design to OpenTofu-managed resource provisioning.
  • Help design and implement a data governance strategy to secure our data lakehouse.

Other

  • Systems thinker - you understand the tradeoffs in data architecture and design for long-term stability and clarity
  • Outcome-driven - you focus on building useful, maintainable systems that serve real business needs
  • Strong collaborator - you're comfortable working across teams and surfacing data requirements early
  • Practical and hands-on - able to dive into logs, schemas, and IAM policies when needed
  • Thoughtful contributor - committed to improving code quality, developer experience, and documentation across the board