Senior Data Engineer

Hologic • Marlborough, MA

7d • $93,000 - $145,500

About The Position

As a Data Engineer at Hologic, you will design, develop, and optimize advanced data solutions that enable business intelligence and analytics across the organization. Leveraging modern cloud technologies, you will architect scalable data pipelines, ensure data quality, and deliver actionable insights that support strategic decision-making. This role is critical in advancing Hologic’s data-driven culture and supporting our mission to deliver innovative healthcare solutions.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field and 5–8 years of professional experience; or Master’s degree with 1–3 years of experience.
• Proven ability as a seasoned, experienced professional with a full understanding of data engineering and related specializations.
• Demonstrated expertise in Microsoft Azure data services (Data Factory, Data Lake, Synapse Analytics, Databricks, Power BI).
• Hands-on experience with SQL, Python, and PySpark for data engineering and analytics.
• Strong knowledge of data warehousing concepts, relational and dimensional modeling, and modern data architectures.
• Experience integrating data from ERP/CRM systems (e.g., Oracle EBS, Salesforce) and streaming platforms.
• Skilled at working on problems of diverse scope, applying judgment to select appropriate methods, techniques, and solutions.
• Excellent communication and collaboration skills with the ability to work independently and in cross-functional teams, typically receiving minimal instruction on day-to-day tasks.

Nice To Haves

• Professional certifications in Microsoft Azure, Databricks, or related cloud/data technologies.
• Experience supporting large-scale analytics in healthcare, life sciences, or regulated industries.
• Familiarity with IoT/event hub integrations and advanced analytics platforms.
• Experience with Agile methodologies, process improvement, and stakeholder engagement.

Responsibilities

• Design and build data warehouse structures, including fact and dimension tables, to support scalable analytics and reporting solutions.
• Develop, optimize, and manage ETL/ELT processes across diverse data sources (ERP, CRM, IoT, streaming).
• Partner with business and technical teams to translate requirements into secure, high-quality data solutions.
• Implement and uphold data governance, security, and compliance standards across environments.
• Contribute to DevOps practices, including CI/CD pipelines, version control, and automated testing.
• Create clear documentation of architectures, workflows, and technical processes.
• Collaborate within Agile teams to iteratively deliver data capabilities and continuous improvements.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level