Senior Data Engineer

Connecticut Innovations; Connecticut; Remote; USD 115,000 - 135,000; Full time

Job summary

FlyteHealth, part of Connecticut Innovations, seeks a Data Engineer to manage data infrastructure for their AI-driven healthcare platform. The role involves designing ETL pipelines and ensuring data availability, with a strong focus on improving patient outcomes through innovative solutions. Join a collaborative team dedicated to addressing chronic health conditions.

Benefits

Equity Shares

401(k)

Discretionary PTO Plan

Parental leave

Internet Stipend for remote working

Paid Company Holidays

Qualifications

• 2–4 years of experience in a data engineering role.
• Experience designing and launching end-to-end ETL systems.

Responsibilities

• Build and scale ETL pipelines to support data needs.
• Ensure integrity, performance, and reliability of data workflows.
• Collaborate with teams to provide data solutions.

Skills

Python

SQL

ETL pipelines

AWS

Kubernetes

Airflow

Education

Bachelor’s degree in Computer Science or a related technical field

Job description

Are you ready to join Connecticut Innovation’s vibrant community of innovators? Connecticut Innovations (“CI”) is Connecticut’s strategic venture capital arm, and we are passionate about serving our portfolio of 220+ companies across various industries, with strengths in life sciences, technology, and climate tech.

Come join one of our quickly growing portfolio companies, FlyteHealth

Who We Are:

FlyteHealth (www.flytehealth.com) delivers a comprehensive cardiometabolic treatment program for self-insured employers, payers, and health systems. The FlyteHealth program combines clinical and lifestyle management through the use of medications and intensive behavioral therapy to actively treat patients living with obesity and associated comorbidities; pre- diabetes, hypertension and hyperlipidemia. FlyteHealth delivers care through its patent pending AI algorithm and platform utilizing a clinical team consisting of clinical practitioners (MDs, NPs, RDs, Health Coaches, and Care Coordinators) and partnering with provider networks within all 50 states of the USA.

The Role: Data Engineer – AI & Infrastructure

As a Data Engineer at FlyteHealth, you will play a pivotal role on our Data and AI Product Team, architecting the data infrastructure that fuels innovation across our healthcare platform. You will design, maintain, and optimize robust ETL pipelines that power AI-driven features, ensure data availability across the organization, and contribute to shaping FlyteHealth’s approach to scalable, intelligent systems. This role is ideal for an engineer who thrives on autonomy, embraces complexity, and is eager to make a direct impact on both product development and patient outcomes.

Key Responsibilities:

• Build and scale our ETL pipelines to support growing data needs across FlyteHealth’s application teams.
• Ensure the integrity, performance, and reliability of pipelines that underpin our AI and analytics features.
• Collaborate with cross-functional partners to understand data requirements and deliver solutions that empower teams across the organization.
• Design and implement ETL infrastructure using AWS, Kubernetes, and Airflow.
• Maintain observability tools (e.g., DataDog) to ensure robust monitoring, alerting, and diagnostics of data workflows.
• Contribute to best practices in data engineering by defining technical standards and leading implementation.

AI Enablement & Internal Collaboration:

• Partner closely with product, engineering, and AI specialists to ensure that high-quality data is readily accessible for experimentation and product development.
• Identify opportunities to improve pipeline performance, reduce technical debt, and support emerging AI initiatives.
• Take initiative to explore different areas of the Data/AI organization that align with your growth and interests.

Why Join Us

• Drive the data strategy that powers FlyteHealth’s AI innovation.
• Help address chronic conditions by ensuring accurate, accessible data.
• Join a curious, collaborative engineering culture that values growth and transparency.
• Participate in tech talks, peer syncs, and annual offsites to stay connected and inspired.

What Makes You a Great Fit

Technical Expertise:

• Proficient in Python and SQL with hands-on experience working with large-scale ETL pipelines.
• Experience extracting data from platforms such as PostgreSQL, Snowflake, and Salesforce.
• Familiarity with cloud infrastructure and orchestration tools, including AWS services, Kubernetes, and Airflow.

Operational Excellence:

• Understand how to build and maintain observability stacks, including logging, metrics, and dashboards.
• Ability to work independently while knowing when to seek input or align with team priorities.
• Skilled in developing scalable, well-documented data solutions in a fast-paced product environment.

Preferred Qualifications:

• 2–4 years of experience in a data engineering role.
• Bachelor’s degree in Computer Science or a related technical field.
• Experience designing and launching end-to-end ETL systems.
• *Eligibility for Essential benefits: Full-time employees regularly working 30+ hours per week
• Equity Shares
• 401(k)
• Discretionary PTO Plan
• Parental leave
• Remote-first Company
• Internet Stipend for remote working
• Paid Company Holidays

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Hospitals and Health Care

Referrals increase your chances of interviewing at Connecticut Innovations by 2x

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Medical insurance

Vision insurance

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