Entry Level Python Flask Developer Jobs in Raleigh, NC

We are the people who give possibilities purpose

BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities.

Job Summary:

The Engineer II is a key contributor within BD's Corporate Digital Engineering (DE) Simulation & Testing organization. This role is focused on building internal software applications, automation pipelines, and database solutions that accelerate engineering analysis, streamline materials data management, and enhance workflows across BD Digital Engineering.

The Engineer II will design, implement, test, and maintain production-quality code that will be used across the Digital Engineering Team. Typical development includes Python-based and/or Microsoft Stack Tools automation, engineering data workflows, web-based database design and integration, custom user interfaces, and digital solutions that streamline analysis and testing activities.

This role is ideal for an engineer who loves to code, enjoys creating wellarchitected tools, and wants to help modernize and accelerate engineering processes across multiple teams.

Responsibilities:

• Independently develop modular, maintainable applications using ASP.NET Core/C# or Python (FastAPI/Flask) for engineering analysis automation, with front-end development using Power Apps or lightweight web frameworks.

• Create solutions leveraging Power Apps, Power Automate, and Dataverse with SharePoint Online integrations and Teams exposure, building comprehensive digital workplace solutions.

• Design and implement database schemas, data structures, and efficient queries in SQL Server, PostgreSQL, or Dataverse to support R&D activities and create robust data pipelines for materials and simulation data.

• Collaborate with simulation and testing engineers to transform manual processes into automated workflows, including AI/ML-assisted tools for data classification, predictive modeling, and automated documentation.

• Manage Git-based revision control, ensure compliance with company standards for software development and cybersecurity, provide clear documentation, and optimize existing codebases for reliability, scalability, and performance.

Minimum Requirements:

• Bachelor's degree in Engineering or Computer Science with 2+ years of relevant experience (Master's degree may substitute for 2 years of experience), plus demonstrated ability to independently deliver complete software solutions from architecture to implementation.

• 2+ years of hands-on experience with either Microsoft Stack (Power Apps, Power Automate, SharePoint Online, ASP.NET Core/C#, Azure services) or Python Stack (Fast API/Flask, PANDAS, SQLAlchemy, modern web tools), along with experience using object-oriented languages

• 2+ years of database design and management experience with SQL, MySQL, PostgreSQL, or MS SQL Server, plus familiarity with JSON/XML for configuration and data interchange.

• Strong understanding of modular programming, code reviews, unit testing, documentation, and version control workflows (GitHub strongly preferred), with proven ability to maintain production-quality codebases.

• Exposure to engineering or scientific computing environments (Python scientific stack, MATLAB, R) and comfort working in Linux-based HPC environments with SLURM, MPI, and distributed/parallel computing experience.

Preferred Requirements:

• Proficiency in developing web-based tools using HTML, JavaScript, and Java, with specific experience integrating Microsoft ecosystem technologies such as Graph API, SharePoint REST, or Teams. This technical foundation enables creation of enterprise-level applications that leverage Microsoft's collaborative platforms.

• Experience with Power BI for creating operational dashboards, combined with exposure to various data analysis software tools including Python, MATLAB, Minitab, R, and JMP. This skillset allows for transforming complex datasets into actionable business intelligence.

• Familiarity with AI/ML frameworks and tools such as PyTorch, TensorFlow, Scikit-learn, and Large Language Models (LLMs). This knowledge enables implementation of advanced predictive analytics and automation solutions.

• Exposure to Computer-Aided Design (CAD) software like SolidWorks and simulation tools for Finite Element Analysis (FEA) and Computational Fluid Dynamics (CFD). These skills support product design, engineering analysis, and virtual testing capabilities.

• Practical knowledge of laboratory testing instrument software including Instron BlueHill and LabVIEW, allowing for effective data collection, analysis, and interpretation from physical testing environments.

Knowledge and Skills:

• Demonstrated ability to gather requirements from engineers and translate them into well-architected software solutions, with proven capability to develop custom code architecture based on stakeholder interactions. Must provide code samples or GitHub portfolio and complete a practical assessment in Python or database development.

• Strong capability to work autonomously, manage competing priorities, and complete complex coding tasks with minimal supervision. Exhibits intellectual curiosity, a problem-solving mindset, and eagerness to explore emerging digital technologies.

• Excellent communication skills with both technical and non-technical stakeholders, with the ability to thrive in a collaborative, fast-paced development environment while clearly articulating technical concepts to diverse audiences.

• Commitment to writing clean, well-documented, and thoroughly tested code, with meticulous attention to thorough, accurate, and timely completion of assigned responsibilities.

• Adherence to all company policies, procedures, and applicable laws, demonstrating professional integrity and responsibility in all work activities.

Physical Demands: (if applicable)

• Ability to work at a computer screen for extended periods of time

• Ability to stand, reach, and lift up to 20 lbs. if equipment interaction is required

Work Environment: (if applicable)

• Primarily a software development environment with extended computer-based work.

• Occasional interaction with engineering labs or simulation tools.

At BD, we prioritize on-site collaboration because we believe it fosters creativity, innovation, and effective problem-solving, which are essential in the fast-paced healthcare industry. For most roles, we require a minimum of 4 days of in-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work-life balance. Remote or field-based positions will have different workplace arrangements which will be indicated in the job posting.

For certain roles at BD, employment is contingent upon the Company's receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required. Consistent with BD's Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.

To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with the imagination and drive to help us reinvent the future of healthcare. At BD, you'll discover a culture in which you can learn, grow and thrive.

We believe that when people connect in person, we learn faster, collaborate more deeply, and build a stronger culture. Join us and enjoy a culture where face-to-face collaboration supports your learning, your progress, and your success.

To learn more about BD visit https://bd.com/careers.

Becton, Dickinson, and Company is an Equal Opportunity Employer. We evaluate applicants without regard to race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, and other legally protected characteristics.

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