Job Details

Hybrid near Ridgefield, CT

We are looking for a skilled and experienced Software Engineer to build and maintain end-to-end Business Intelligence and Data Analytics applications. This role involves designing, developing, testing, and delivering fully functional, cloud-based analytics solutions. The engineer will work across the full lifecycle, from initial ideas and architecture through deployment and ongoing optimization with opportunities to incorporate advanced analytics and machine learning solutions. You will collaborate closely with a cross-functional product team to deliver reliable data products and dashboards that meet clear business needs and objectives.

Duties & Responsibilities

• Leading end-to-end BI/data analytics projects, including scoping, prioritization, execution, and stakeholder communication.
• Data Analytics application Development: Design, develop, and maintain both the front-end and back-end components of full-fledged Data Analytics applications using state-of-the-art programming languages and frameworks, while adhering to legal and regulatory requirements. Deliver secure, scalable, and high-performing applications (data products and dashboards) aligned with defined business goals.
• System Operations and Support: Support, maintain, and optimize development and production environments, including the continuous delivery pipeline. Use automation tools and scripts to ensure efficient and reliable system maintenance, enabling seamless provisioning of solutions to users.
• Architecture Integration: Incorporate API-enabled backend technologies into application architecture, following established architecture frameworks and standards to deliver cohesive and maintainable solutions.
• Agile Collaboration: Work collaboratively with the team and product owner, following agile methodologies, to deliver secure, scalable, and fully functional applications in iterative cycles.
• Testing Strategy and Framework Design: Develop and implement comprehensive testing strategies and frameworks to ensure the delivery of high-quality, reliable software.

Requirements

Sr. Principal Software Engineer

Associate degree in Computer Science, MIS or related field with a minimum of 11 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum 9 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 7 years of experience; or relevant Business or IT experience of minimum of 11 years. Minimum of 6 years programming experience preferred. Minimum 6 years experience in data analytics or business intelligence.

Bachelors and/or /Masters degree (or equivalent); progressive IT and business experience of five (5) to ten (10) years is preferred in data analytics / business intelligence area.

• Technical Expertise: Hands-on experience in Data pipeline creation, data engineering, Data warehousing, ETL/ELT (SQL, Informatica, AWS Glue, Databricks, DBT). Build and maintain robust backend systems using AWS Lambda, API Gateway, and other serverless technologies.
• Experience with frontend visualization tools like (Tableau,PowerBI). Hands on experience in building dashboards / reports.
• Hands-on expertise in agile development, test automation, IT security best practices, continuous development and deployment tools (Git, Jenkins, Docker, Kubernetes), and functional programming.
• Familiarity with IT security, container platforms, and software environments across QA, DEV, STAGING, and PROD phases.
• Demonstrated thought leadership in driving innovation and best practice adoption across the full-stack ( pipeline creation to data analytics application feature release ) as well as mentoring junior engineers,
• Leadership & Collaboration: Strong communication, mentorship, and cross-functional teamwork to drive innovation and align engineering with business goals.

Desired Skills, Experience and Abilities

• Seeking dynamic, adaptable, collaborative individual with strong capacity for learning and growth.
• This position is perfect for someone who thrives in collaborative environments, is eager to expand skill set (e.g., agile coaching, ideation scouting, UX research), and passionate about contributing holistically to the team's success.
• Pharmaceutical & Digital Healthcare Technology experience desired not required.