Software Engineer II, Analytics Operations

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

The Software Engineer – Analytics Operations provides hands-on technical expertise to monitor, support, and maintain PDS data platforms and business-critical analytics applications, ensuring high availability, reliability, and operational excellence. This role is ideal for someone who thrives in a fast-paced operational environment, proactively resolving production issues, improving platform stability, and driving automation to enhance operational efficiency and user experience. We are seeking a highly skilled Analytics Operations Engineer to join our team. This role enables the business to operate efficiently by ensuring the reliability, availability, and performance of PDS data platforms and analytics applications. The ideal candidate will be responsible for supporting data pipelines and UI applications, managing production incidents, ensuring data quality, administering user access, and driving automation and continuous operational improvements. The role requires strong technical expertise in cloud data platforms, troubleshooting, monitoring, and automation, along with excellent communication skills to collaborate effectively with cross-functional teams and deliver exceptional support to business stakeholders. Key Responsibilities and Major Duties Support, maintain, and enhance PDS data products, ETL pipelines, and analytics/UI applications built using DBT, AWS Glue, Databricks, and other cloud-native technologies. Analyze, troubleshoot, and resolve production incidents, ensuring high availability, reliability, and adherence to service level agreements (SLAs). Develop pipeline enhancements, bug fixes, and operational automation to improve platform performance, scalability, and operational efficiency. Develop and enhance the React UI based applications as per the business requirements. Ensure data quality, integrity, and operational stability through validation, monitoring, root cause analysis, and proactive issue resolution. Familiarity and experience with Cloud infrastructure management and work closely with the Cloud engineering team Collaborate with Analytics Engineering, Cloud Engineering, and Business teams to support feature releases, production deployments, and continuous improvements. Develop and maintain monitoring, alerting, dashboards, and operational documentation to improve observability and enable efficient support. Stay current with modern data and AI technologies, including Databricks, Agentic AI, Retrieval-Augmented Generation (RAG), and AI-assisted development (Vibe Coding), and leverage them to drive operational excellence. Qualifications/Degree/Certification/Licensure Computer Science, Physics, Math, Pharmaceutical Science, or Engineering area of study preferred 3-5 years of experience with operations and production support, and optimizing the supporting process Hands-on experience with AWS Glue and Databricks Proficiency with SQL, SPARK and Python Knowledge of data engineering tools (AWS, Airflow) Experience with version control (e.g. Git, SVN) and Agile development Proven