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Description

Step into the future with Boehringer’s Enterprise Data, AI & Platforms (EDP) team!

At Boehringer Ingelheim, we believe Data & AI have the power to transform healthcare and improve the lives of millions of patients and animals. As a key member of the EDP team, you will be part of a passionate team to build a strong data & AI culture, deliver on key data transformation initiatives, and shape the future of data-driven decision making across our global organization.

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.

If this is your passion – not just a job, apply now and be part of something truly meaningful.

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies´ success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim´s high regard for our employees.

This role is based out of our Ridgefield, CT working on site 2-3 days per week.

Compensation Data

This position offers a base salary typically between $140,000 - $222,000+. The position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here. ​

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.

Lead Software Engineer

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.

Eligibility Requirements:

• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical (if required).
• Must be 18 years of age or older.