Data Engineer – Development & Analytics (Bedford, MA)

Philips•Bedford, MA

1d•Onsite

About The Position

You will join a high-performing team focused on Advanced Imaging products in the Philips Image Guided Therapy Devices (IGT-D) business. This is a cross-functional role focused on building and scaling data infrastructure (pipelines, dashboards, and querying systems) and integrating diverse data sources (field diagnostics, manufacturing, and engineering data) to enable data-driven product analysis. Your role: Scale internal tools for generating and managing data infrastructure. This will include collecting and storing data from diverse sources and creating cloud-based systems for large-scale querying and rapid data access across clinical and product data. Additionally, you will develop dashboards that cross-functional stakeholders will use to interpret and analyze the data on a regular basis. You will report to the Head of Optical & Systems, Advanced Imaging at Philips IGTD, and work alongside a talented and multidisciplinary team of Systems Engineers. Collaborate cross-functionally with product development, quality, operations, field service, and business stakeholders to define data needs, surface key trends, and build custom queries and pipelines. Continue to grow as a data engineer while gaining exposure to systems engineering, quality processes, and cross-functional collaboration in a fast-paced, regulated medical device environment.

Requirements

Bachelor’s degree in data engineering, data analytics, computer science, or a similarly relevant field.
2+ years of experience in an individual contributor role developing tools and processes to collect and consolidate diverse data sets, as well as front-end tools to manage and analyze the data.
Skills include developing systems and tools in SQL, Python, or similar for backend data management & data mining and front-end data interrogation/display.
Excellent written and verbal communication skills for effective cross-functional collaboration and reporting are required.
Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.

Nice To Haves

Experience developing cloud-based solutions is a plus.
Cloud-based tooling experience (GCP, AWS, Azure, etc.).
Experience with analysis of image and signal data.
Experience operating in a regulatory controlled quality system and verifying/validating tools and processes.

Responsibilities

Scale internal tools for generating and managing data infrastructure.
Collect and store data from diverse sources.
Create cloud-based systems for large-scale querying and rapid data access across clinical and product data.
Develop dashboards that cross-functional stakeholders will use to interpret and analyze the data on a regular basis.
Collaborate cross-functionally with product development, quality, operations, field service, and business stakeholders to define data needs, surface key trends, and build custom queries and pipelines.
Grow as a data engineer while gaining exposure to systems engineering, quality processes, and cross-functional collaboration in a fast-paced, regulated medical device environment.