Sr. Data/Platform Engineer

Piper Companies is seeking a Sr. Data/Platform Engineer for a remote position. This is a Contract‑to‑Hire position. This role is responsible for designing, developing, and automating data pipelines, backend services, and core platform components to support large‑scale healthcare marketing data. Candidates should have strong backend engineering experience, hands-on cloud skills, and a deep understanding of modern ETL/ELT workflows.

Responsibilities of the Sr. Data/Platform Engineer:

• Build and modernize a new cloud‑based data warehouse to replace legacy data systems.
• Design, develop, and automate ETL/ELT data pipelines for high‑volume marketing engagement data (e.g., user activity, open/click behavior).
• Develop backend services and application components that support data ingestion, transformation, and delivery.
• Structure, clean, and process data to ensure quality, consistency, and readiness for analytics and downstream systems.
• Collaborate with engineering and product teams to define platform architecture and data flow patterns.
• Implement tools and processes that allow data to be ingested and processed automatically.
• Troubleshoot issues across pipelines, backend services, and cloud infrastructure with appropriate urgency.
• Contribute to platform engineering efforts across infrastructure, data operations, and software development.
• Work extensively with public cloud services (AWS strongly preferred; Azure acceptable).
• Participate in a newly formed engineering team building a greenfield system from the ground up.

Qualifications for the Sr. Data/Platform Engineer:

• 5+ years of experience in software engineering, data engineering, or platform engineering.
• Strong backend development skills using languages such as Python, Java, or Rust.
• Hands-on experience creating and supporting ETL/ELT pipelines and automated data workflows.
• Proven ability to build backend services, APIs, and distributed systems.
• Strong cloud experience with AWS or Azure (AWS preferred).
• Experience working with modern data warehouses, cloud storage, and large-scale data processing.
• Understanding of data modeling, data structures, and transformations.
• Experience working with APIs, file integrations, batch processes, or streaming data.
• Ability to work in a fast-paced environment and contribute across multiple engineering areas.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field preferred.

Compensation for Sr. Data/Platform Engineer:

• $85-$95/hr
• Remote
• 6 month contract-to-hire
• Comprehensive Benefits: Medical, Dental, Vision, 401(k), Paid Time O

This job opens for applications on 2/16/2026. Applications for this job will be accepted for at least 30 days from the posting date

Keywords:

Data Engineer, Platform Engineer, Sr Data Engineer, Backend Engineer, Backend Developer, Software Engineer, ETL Developer, ETL Pipelines, ELT, Data Pipelines, Pipeline Automation, Data Warehouse Modernization, Data Warehouse, Data Lake, Data Lakehouse, Data Architecture, Data Modeling, Star Schema, Dimensional Modeling, Airflow, Prefect, Dagster, Python, Java, Rust, GoLang, TypeScript, Node.js, SQL, NoSQL, API Development, REST APIs, Microservices, Distributed Systems, Event-Driven Architecture, Streaming Data, Kafka, Kinesis, AWS, Azure, GCP, Cloud Engineering, Serverless, Lambda, Docker, Kubernetes, Terraform, CloudFormation, CI/CD, DevOps, Cloud Architecture, Data Orchestration, Data Integration, Data Transformation, Batch Processing, Real-Time Data, High Availability Systems, Scalable Systems, Healthcare Data, Marketing Data, Clickstream, User Activity Data, Tracking Data, Greenfield Engineering, Legacy Modernization, Root Cause Analysis