Data Engineer (Mid-Senior Level) - Healthcare SaaS Platform

Job Description

About Us

We are a leading AI-driven SaaS platform for Healthcare Member Engagement, transforming how Medicare Advantage and Medicaid health plans interact with their members. Our platform leverages predictive analytics, omnichannel outreach, and behavioral data to improve CAHPS and HEDIS Star Ratings, optimize costs, and enhance member satisfaction.

We are seeking a Data Engineer who is passionate about designing scalable data solutions in a healthcare-driven AI ecosystem. If you're excited by cloud-native architecture, data processing efficiency, and the power of healthcare analytics, we’d love to meet you!

Your Role & Impact

As a Mid-Senior Level Data Engineer, you will:

ü Architect & Maintain Scalable Data Pipelines – Design, build, and optimize ETL workflows for high-volume healthcare data processing.

ü Enhance Data Storage & Retrieval Performance – Implement efficient data modeling techniques using Azure SQL, Snowflake, or Redshift.

ü Collaborate with Analytics & AI Teams – Work closely with data scientists, analysts, and solution engineers to ensure seamless data flows across predictive models and engagement pipelines.

ü Drive Cloud-Native Data Operations – Manage and optimize Azure-based cloud data environments for scalability, security, and high availability.

ü Ensure Compliance & Data Governance – Implement best practices for data security, regulatory compliance (HIPAA, HITRUST), and governance standards.

ü Optimize Workflows & CI/CD Processes – Automate deployment pipelines using Terraform, Airflow, or CloudFormation for efficient infrastructure management.

Qualifications & Requirements

Ø 3–5+ years of hands-on experience in data engineering or related fields.

Ø Expertise in ETL processes – Strong knowledge of data pipelines, workflow automation, and big data processing.

Ø Cloud Proficiency – Experience with Azure SQL, Snowflake, Redshift, or similar cloud-based data solutions.

Ø Strong Programming Skills – Advanced experience in Python, SQL, and Apache Spark for data transformation & optimization.

Ø Workflow Automation & Orchestration – Proficiency in Apache Airflow or similar tools to enhance automation.

Ø Experience with CI/CD Pipelines – Familiarity with Terraform, CloudFormation, or other Infrastructure-as-Code solutions.

Ø Healthcare Data Knowledge (Preferred) – Prior exposure to claims, EHR, or payer-provider data is a plus!

Why Join Us?

Make a Real Impact – Shape the future of AI-driven healthcare engagement, helping millions of members receive smarter, more personalized care.

Cutting-Edge Tech Stack – Work with Azure, AI-powered analytics, and cloud-native architecture to build scalable solutions that matter.

Growth & Leadership Opportunities – We value innovation and offer career advancement, mentorship, and learning resources to accelerate your growth.

Comprehensive Benefits – Top-tier healthcare, 401(k) matching, generous paid time off, and perks designed to support your well-being.

Work Hard, Have Fun – Join a collaborative, dynamic, and fast-moving environment where ideas thrive and your contributions make an impact.

Insightin Health helps healthcare payers eliminate data silos and deliver highly satisfying consumer-centric experiences. inGAGETM – our software as a service (Saas) platform – is the industry leading solution for quickly creating a connected data ecosystem. Using artificial intelligence and machine learning techniques, inGAGETM leverages the totality of the connected data, in real-time, to produce insights that drive Next Best Action (NBA) recommendations to solve pressing healthcare challenges. inGAGETM allows healthcare payers to deliver lifetime member value, driving growth and increasing overall plan profitability.

Full-time