Lead Data/Platform Engineer - 176852 - 177716

Piper Companies; United States; A distancia; USD 180.000 - 220.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical/dental/vision benefits

401(k) plan

Fully remote work environment

Descripción de la vacante

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.

Formación

• 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.

Responsabilidades

• 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.

Conocimientos

Python

Node.js

Go

TypeScript

ETL processes

AWS

Herramientas

Redshift

Snowflake

BigQuery

Descripción del empleo

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.

Responsibilities of the Lead Data/Platform Engineer:

• Rebuild and modernize a legacy data pipeline, creating scalable and reliable ingestion, processing, and storage solutions.
• Design and develop integrations for APIs, vendor file feeds, BigQuery, and other external data sources.
• Build event-driven services and ETL processes using Python, Node.js, or similar technologies.
• Develop and manage AWS infrastructure utilizing Terraform, CI/CD pipelines, and containerization best practices.
• Establish observability, monitoring, lineage tracking, and operational standards for production data systems.
• Lead data migration, reconciliation, backfill, and cutover efforts while ensuring data accuracy and integrity.

Qualifications of the Lead Data/Platform Engineer:

• 10+ years of experience building and supporting large-scale data platforms, backend systems, or data engineering environments.
• Proven experience re-architecting, modernizing, or rebuilding data pipelines, data platforms, or infrastructure from the ground up.
• Strong experience with Python, Node.js, Go, TypeScript, or similar backend development technologies.
• Deep knowledge of ETL processes, data pipelines, event-driven architectures, and system integrations.
• Hands-on experience with AWS, Terraform, CI/CD pipelines, and containerization technologies.
• Advanced SQL and data warehousing expertise with Redshift, Snowflake, or similar platforms.

Compensation for the Lead Data/Platform Engineer includes:

• Salary range: $180,000 - $220,000 (Depending on Experience)
• Opportunity to convert to a full-time employee following the initial contract engagement
• Comprehensive benefits package including medical, dental, vision, 401(k)
• Fully remote work environment

#LI-MM8 #LI-REMOTE

Keywords: Senior Data Engineer, Senior Platform Engineer, Data Platform Engineer, Data Pipeline Engineer, Data Engineering, Platform Engineering, Data Lake, Data Warehouse Modernization, ETL Development, Data Integration, AWS, Terraform, Python, Node.js, Go, TypeScript, Event-Driven Architecture, BigQuery, Redshift, Snowflake, CI/CD, Infrastructure as Code, Containerization, Data Migration, Data Architecture, Kafka, Kinesis, SQS, Airflow, dbt, Backend Engineering, Cloud Engineering, Data Governance, Data Observability, Healthcare Technology, Remote Engineer Jobs