Sr. Data Engineer

Title: Sr. Data Engineer
Job Type: W2 Contract
Contract Length: 7 months
Pay Range: $95–105/hr
Start Date: ASAP
Location: Hybrid preferred in Westbrook, Maine, with fully remote work within the United States available for exceptionally strong candidates.\

About the Opportunity:

Our client, a leader in Enterprise Diagnostic Data and Technology, is looking for a skilled Sr. Data Engineer to join their team for a 7 months engagement. This project involves developing and maintaining the data systems and infrastructure that deliver diagnostic results to our customers in near real-time. This is a high-impact role that requires a self-motivated professional who can hit the ground running and deliver results quickly.

Key Responsibilities & Deliverables:

This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include:

• Streaming Data Pipelines: Build and maintain streaming ingestion, API-based data workflows, and distributed data transformations using AWS services (Kinesis, Lambda, Glue/Spark, EMR, S3).
• API Development: Develop and maintain REST APIs for data ingestion and consumption.
• Data Modeling: Develop and optimize data lake and operational data models for near-real-time use cases, supporting downstream loading into Snowflake.
• DevOps/Reliability: Contribute to the platform’s CI/CD, automated testing, and release workflows, working to improve reliability, automation, and observability.
• On-Call Support: Participate in an on-call rotation (1 week duty rotation every 6 weeks) to provide support for the team’s data systems and services.

Required Skills & Experience:

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have:

• 3+ years of hands-on experience building production data systems or data services.
• Deep expertise in AWS for building applications, including services like Lambda, S3, API Gateway, IAM, Glue/Spark, and Kinesis. This is not a SQL/ELT or Databricks-notebook-driven role—you need to be a subject matter expert in building production systems.
• Solid proficiency in Python (and ideally Scala).
• Demonstrated ability to debug and reason about distributed data systems (streaming pipelines, Spark on EMR/Glue, APIs, queues, storage layers).
• Practical experience with infrastructure-as-code (Terraform or CloudFormation).
• Strong communication skills to provide clear and concise status updates to the project team.
• W2 only (No C2C or 1099 contractors)

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