SR Solutions Engineer, Data Analytics
Boehringer Ingelheim6 days ago
USA (city not specified)Senior
Responsibilities
- Execute data management and software configuration activities for pharmaceutical batch analytics.
- Support, develop, and maintain tools, software, AI solutions, reporting solutions, and data architectures for advanced analytics.
- Configure process historians, ERP, LIMS, and electronic batch systems across projects and sites.
- Review network, edge-server, data-center, and software architectures and summarize data-transfer latency.
- Design, develop, and implement AI/ML and LLM-based solutions for business and operational use cases.
- Provide second-level troubleshooting and maintenance for global solutions.
- Contribute to data integrity, validation, and quality risk assurance reporting.
- Provide analysis-ready data to statisticians and data scientists.
- Collaborate with global management, engineering, IT governance, site stakeholders, and international colleagues on project goals and harmonization.
Requirements
- Bachelor's degree in computer science, data analytics, or a related field.
- Four years of experience in software development architecture and/or data management through a bachelor's or master's program and/or relevant industry experience.
- Preferred expertise in data warehousing and SQL programming.
- Demonstrated knowledge of C#, SQL, and JavaScript.
- Experience with AVEVA PI, PI AF, ETL data warehouse design and implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, Microsoft Database Management Studio, MongoDB, and PostgreSQL is recommended.
- Knowledge of mathematics, computer science theory, and statistical methodologies for process performance analytics and data science.
- Ability to perform Solutions Engineer tasks, apply analytical thinking and business acumen, manage projects from a data management perspective, and determine appropriate database designs and configurations.
- Demonstrated experience identifying design issues and recommending solutions for global architectures and database implementations.
- Must be legally authorized to work in the United States without restriction, willing to take a drug test and post-offer physical if required, and at least 18 years old.
Benefits
- Competitive compensation and benefit programs, a healthy work environment, meaningful work, mobility, networking, and work-life balance.
- Opportunities to collaborate internationally and contribute directly to the company's global success.
Tech Stack
Categories
Data EngineeringSolutions Engineering
About Boehringer Ingelheim
Boehringer Ingelheim develops and manufactures prescription medicines for humans and animal health products, and provides biopharmaceutical contract manufacturing services. The family-owned company was founded in 1885 and is headquartered in Ingelheim am Rhein, Germany. Its portfolio spans areas such as cardiovascular and metabolic diseases, respiratory disorders, oncology, and vaccines for livestock and companion animals, with products marketed globally.