Senior Engineer, Data

Bellese is a mission-driven Digital Services Company committed to pioneering innovative technology solutions in civic healthcare. Our dedication lies in making a meaningful impact on public health outcomes.

Driven by service design, we strive to know the “Why” to understand the healthcare journey for patients, caregivers, providers, payers, and policymakers. Our goal is to design and build solutions that reduce confusion, provide clarity, support decision making, and streamline the process so that we and our partners can focus on providing better health outcomes by improving patient care and reducing costs and burden.

As an Engineer II:

Influence: Making an impact on one or more projects or products.

Technology: Highly proficient in one or more technologies within the Software Engineering discipline. Particularly skilled in one or more technologies.

System: Reliably scopes, estimates, designs, and delivers medium-to-large features while reducing the technical debt of one or more projects or products.

People: Proactively supports other team members and helps them to be successful.

Process: Follows the team processes, delivering a consistent flow of features to production.

These are the types of things you’ll be working on

Leverage test-driven development to deliver backend systems and user interfaces to ease development and integration between them.

Contribute to the development of APIs, specifications, and data models, facilitating integration with frontend applications and third-party systems.

Design, implement, and maintain data interactions. Optimize data operations for performance and scalability, and ensure data integrity and security.

Design and develop user interfaces, informed by UX designs that meet customer needs.

Understand and contribute to functional and non-functional automated testing suites.

Requirements:

Bachelor's degree in Computer Science, Computer Engineering or related field

Strong experience with Python / Apache Spark

Solid understanding of data modeling, ETL process, Orchestration, and distributed computing

Strong understanding of software design patterns, data structures, and algorithms

Experience with Agile development methodologies

Ability to work independently as well as in a team

Strong problem-solving and analytical skills

Strong verbal and written communication skills

Related experience in analytic programming, data extraction, querying databases/data warehouses and data analysis.

Experience utilizing CI/CD Pipelines

Preferred Qualifications:

AWS Experience (S3, EC2, Glue, Lambda, etc)

R experience

Professional Databricks/Apache Spark Certification(s)

SAS experience