Sr. Principal Full Stack Software Engineer – Data Analytics | Ridgefield, CT | $140k–$210k

💻 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.

Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

• Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

• Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

• Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

• Document architecture, workflows, and best practices to support transparency and continuous improvement.

• Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

• Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

• Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

• Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

• Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

• Proven experience troubleshooting and optimizing complex data pipelines.

• Strong problem-solving skills and analytical mindset.

• Excellent communication skills for collaboration across technical and non-technical teams.

• Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• Paid vacation and holidays

• 401(k) retirement plan

• Wellness and family support programs

• Flexible hybrid work environment

🧩 Candidate Snapshot

• Experience: 5–7 years in data engineering or related field

• Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

• Seniority Level: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.