Remote Lead Data/Platform Engineer: Modernize Pipelines

Piper Companies

United States

Remoto

USD 180.000 - 220.000

Tempo pieno

42 ore fa
Candidati tra i primi

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Vantaggi offerti da questo lavoro

Medical/dental/vision benefits
401(k) plan
Fully remote work environment

Descrizione del lavoro

Piper Companies is seeking a Lead Data/Platform Engineer to join a healthcare technology organization. The Lead Data/Platform Engineer will play a key role in rebuilding the company's data pipeline from the ground up, helping modernize the platform and establish a scalable foundation for future growth.

The role requires 10+ years of data engineering experience, deep knowledge of ETL, and hands-on expertise with AWS, Terraform, and modern data warehouses.

Competenze

  • 10+ years of data platform or data engineering experience.
  • Experience re-architecting or rebuilding data pipelines and platforms.
  • Proficiency in Python/Node.js/Go/TypeScript and backend development.
  • Hands-on with AWS, Terraform, CI/CD, and containerization.
  • Advanced SQL and data warehousing with Redshift or Snowflake.

Mansioni

  • Rebuild and modernize a legacy data pipeline with scalable ingestion, processing, and storage.
  • Design integrations for APIs, vendor feeds, BigQuery, and external data sources.
  • Build event-driven ETL processes using Python, Node.js, or similar technologies.
  • Develop and manage AWS infrastructure with Terraform and CI/CD pipelines.
  • Establish observability, monitoring, and data lineage for production systems.
  • Lead data migration, reconciliation, backfill, and cutover efforts.

Conoscenze

Python
Node.js
Go
TypeScript
ETL processes
AWS

Strumenti

Redshift
Snowflake
BigQuery

Descrizione del lavoro

Piper Companies is seeking a Lead Data/Platform Engineer to join a healthcare technology organization. The Lead Data/Platform Engineer will play a key role in rebuilding the company's data pipeline from the ground up, helping modernize the platform and establish a scalable foundation for future growth.

The role requires 10+ years of data engineering experience, deep knowledge of ETL, and hands-on expertise with AWS, Terraform, and modern data warehouses.

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