IT Data Engineer

Rentschler Biopharma•Milford, MA

3d•$105,000 - $125,000

About The Position

The IT Data Engineer designs, builds, and operates data platforms, pipelines, and products that enable data-driven decision-making across Rentschler Biopharma. The role integrates Manufacturing, Quality, Laboratory, and Business systems and supports the organization's transition from Azure Synapse Analytics to Microsoft Fabric. It also partners with stakeholders to turn business challenges into scalable data-driven solutions. The position works with business stakeholders in Milford and global Data & Analytics teams in the US and Germany to encourage adoption, innovation, and business value through data.

Requirements

3+ years of relevant experience in data engineering or a comparable IT role.
Solid programming skills, preferably SQL or Python.
Good knowledge of data modeling.
Experience building and operating data services in a BI and Big Data environment, especially with Azure data services such as Azure Data Factory and Synapse Analytics.
Experience with agile software development, ETL/ELT processes, and databases, especially MS SQL.
Experience with version control (Git) and CI/CD practices for data solutions.
Structured, well-organized way of working.
Service-oriented mindset and ability to interact confidently with internal stakeholders and external consultants.
Enthusiasm for working in agile, interdisciplinary teams across physical and virtual environments.
Strong communication skills and flexibility in a dynamic environment.
Excellent written and spoken English skills.
Very good skills in the Microsoft M365 suite of productivity software.

Nice To Haves

Bachelor's degree in Data Analytics, Informatics, Bioinformatics, or a comparable field is highly preferred.
Experience with data visualization.
Experience with Microsoft Fabric.
Experience supporting cloud platform modernization or migration initiatives.
Working knowledge of GxP requirements and their implications for data management and documentation.
Experience in the Pharmaceutical or Biotechnology industry.
Familiarity with data governance frameworks, data cataloging, or data stewardship practices.

Responsibilities

Build, maintain, and optimize scalable data pipelines and data products supporting business and operational processes.
Integrate source systems, including Manufacturing, Quality, Laboratory, MES, LIMS, ERP, and other business systems, into the enterprise analytics platform.
Develop, support, and enhance data solutions using Azure Synapse Analytics, Azure Data Factory, Microsoft Fabric, and related Azure services.
Implement and monitor data quality checks across pipelines and data products, and resolve data quality issues with business and system owners.
Troubleshoot and resolve pipeline and data integration issues and support resolution of platform issues.
Apply and contribute to global Data & Analytics standards and good engineering practices.
Clarify requirements with stakeholders in coordination with the global team and implement them as technical solutions.
Document solutions and share knowledge with users and team members.