Integration Engineer
Clearsense, LLC
About the Company
We are a Healthcare IT Data & Analytics company that is on the cutting edge, with an amazing offering. We have a very fun, creative, collaborative, and fast-paced work environment. This is a fantastic team that has a great work/life balance.
About the Role
Integration Engineer (Data Engineering)
*This is a 100% Remote and full-time opportunity*
Overview
We are seeking an Integration Engineer to join our data engineering team and play a critical role in connecting, transforming, and preparing data across systems. This role focuses on building scalable data integrations, solving complex data challenges, and ensuring high-quality delivery to downstream applications.
This is a hands-on role for someone who thrives in ambiguity, enjoys problem-solving, and can operate effectively in a fast-paced, evolving environment.
What You’ll Do
- Build and maintain data integration pipelines using AWS, Python, SQL, and ETL tools
- Integrate and process data across formats ( CSV, JSON, XML, HL7, flat files )
- Perform large-scale data movement (on-prem → cloud, database migrations)
- Conduct data discovery and mapping, identifying gaps and inconsistencies early
- Interview stakeholders, users, and subject matter experts to define requirements and create clear documentation around project scope
- Solve complex data and integration challenges with scalable, repeatable solutions
- Partner with engineers, PMs, and stakeholders to deliver aligned outcomes
- Produce clear documentation and support clean handoffs to downstream teams
- Continuously improve workflows, tools, and integration processes
What We’re Looking For
- Strong experience with Python and SQL
- Experience with AWS (S3, EC2, RDS or similar)
- Experience with ETL/ELT tools (e.g., Alteryx or similar)
- Experience working with healthcare data extraction (EMR/EHR, claims, clinical data)
- Comfort working with complex data formats (CSV, JSON, XML, HL7)
- Strong problem-solving skills and ability to work through ambiguity
- Ability to manage multiple priorities simultaneously
- Clear and effective communication across technical and non-technical audiences
Nice to Have
- Experience with large-scale data migrations or system integrations
- Experience building automation or reusable data frameworks
- Background in regulated data environments
- Experience with AI-assisted development tools (Kiro, GitHub Copilot, Cursor, Claude Code, or similar), including agentic AI workflows.
Why Join Us
- Work on complex, meaningful data challenges
- Be part of a highly collaborative and technical team
- Help shape how data integration is done at scale
- Gain exposure to modern cloud and data technologies
Day Plan
30 Days
- Learn team workflows, tools, and data environments
- Shadow projects and begin supporting integration tasks
- Build familiarity with data formats and AWS environment
60 Days
- Own small-to-medium integrations independently
- Perform data discovery and mapping with minimal guidance
- Contribute to pipelines and collaborate with team members
90 Days
- Own full integration workstreams end-to-end
- Manage multiple priorities while maintaining quality
- Identify improvements and contribute scalable solutions
Summary
This role is for someone who can take ownership, solve hard problems, and build scalable solutions that connect systems and enable delivery. If you’re someone who figures things out and gets them done, we want to talk.
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