💻 Sr. Principal / Lead Software Engineer – Full Stack (Data Analytics)
📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Data & AI
🎓 Education: Bachelor’s or Master’s in Computer Science, MIS, or related field
💼 Experience Level: Mid–Senior / Principal (7–10+ years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $140,000 – $210,000 base salary + full benefits + bonus eligibility
🕓 Employment Type: Full-Time | Permanent
🌟 The Opportunity
Join a world-class Enterprise Data, AI & Platforms (EDP) organization on a mission to harness the power of data and artificial intelligence to transform global healthcare.
As a Full Stack Software Engineer (Lead or Principal level), you’ll design and deliver cloud-native data analytics applications that power advanced insights, innovation, and decision-making across a global enterprise. This role offers the chance to work across the entire stack — from scalable back-end systems and APIs to dynamic data visualizations — while collaborating with multidisciplinary teams in a fast-paced, agile environment.
If you’re passionate about building modern data-driven applications and leading technical excellence, this is your opportunity to make a measurable impact on the future of healthcare and digital innovation.
🧭 Key Responsibilities
Full Stack Development: Design, develop, and maintain cloud-based applications and services, encompassing front-end and back-end systems.
Data Analytics Engineering: Build and optimize data pipelines (ETL/ELT) using tools such as AWS Glue, Databricks, and dbt.
Architecture Integration: Develop serverless back-end solutions using AWS Lambda, API Gateway, and related technologies.
Visualization & Insights: Build intuitive dashboards and visualization layers using Tableau or Power BI.
DevOps & Automation: Leverage Git, Jenkins, Docker, and Kubernetes to automate builds, testing, and deployments.
Agile Collaboration: Work closely with product owners and cross-functional teams in an agile environment to deliver iterative, high-value releases.
Quality & Testing: Implement robust testing frameworks and continuous integration pipelines to ensure reliability and scalability.
Mentorship & Leadership: Guide junior developers, contribute to architectural decisions, and champion best practices across engineering teams.
🧠 Required Skills & Experience
✅ 7+ years of professional software development experience, including full-stack data analytics applications.
✅ Proven experience in cloud environments (AWS required) — strong knowledge of Lambda, API Gateway, S3, Glue, and Databricks.
✅ Solid experience building data pipelines (ETL/ELT) using AWS Glue, Databricks, and dbt.
✅ Hands-on expertise with frontend visualization tools like Tableau and Power BI.
✅ Familiarity with containerization and continuous deployment tools (Docker, Kubernetes, Jenkins).
✅ Working knowledge of API integration, serverless architectures, and data security best practices.
✅ Strong communication skills, collaborative mindset, and the ability to mentor and inspire technical teams.
💡 Preferred Skills & Attributes
⭐ Background in pharmaceutical or digital healthcare technology (preferred, not required).
⭐ Experience in agile environments, continuous improvement, and cross-functional collaboration.
⭐ Familiarity with software testing frameworks, QA automation, and CI/CD pipelines.
⭐ A passion for data, AI, and modern analytics solutions that drive business transformation.
⭐ Ability to balance hands-on technical work with strategic architectural leadership.
💰 Compensation & Benefits
💵 Base Salary: $140,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-based and/or performance incentive
💎 Benefits Include:
Comprehensive health, dental, and vision coverage
401(k) with company match
Paid holidays, vacation, and flexible hybrid work schedule
Professional development, mobility, and career growth opportunities
Relocation assistance for the ideal candidate
🧩 Candidate Snapshot
Experience: 7–10+ years full-stack development (data analytics focus)
Core Skills: AWS Cloud | ETL/ELT | Databricks | dbt | Tableau | Power BI | Lambda | API Gateway | DevOps
Seniority: Lead or Principal Engineer
Work Arrangement: 2–3 days onsite in Ridgefield, CT
Travel: Occasional
🌍 Why This Role Matters
This role sits at the intersection of software engineering, data analytics, and AI innovation — driving systems that shape the way global teams make data-driven decisions in research, medicine, and operations. You’ll collaborate with visionary technologists and scientists to build solutions that turn complex data into actionable intelligence — ultimately improving lives around the world.
🚀 Ready to engineer the future of data-driven healthcare?
Join a global organization where technology, data, and purpose intersect to deliver meaningful impact — one application at a time.