Senior Engineer, Data

Primary LocationUnited States Remote FriendlyYes Employment TypeFull Time

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Bellese Technologies is looking for someone with a passion for solving big problems in healthcare. We foster a learning environment that thrives on curiosity, innovation, and passion about improving healthcare in America.

Our remote-first team is spread across 20+ states and leverages exceptional collaboration to amplify our strengths. We provide an environment focused around helping you achieve your goals. Because when you succeed, we all succeed.


  • Lead in the design, development, and maintenance of high-quality distributed data systems
  • Work as a part of an agile software development team to build and maintain cloud data
  • Research and build proof of concepts in the data space
  • Complete sprint work collaboratively and punctually
  • Contribute to the management of microservices/microdata architecture 
  • Map data between multiple databases and data sources 
  • Ability to document and simplify complex data sources
  • Expertise in the migration and ETL of small to medium-sized data
  • Aid in the implementation of best practices for data delivery and management.
  • Mentor and guide both junior and mid-level team members, fostering a collaborative and inclusive team culture
  • Create and maintain comprehensive technical documentation, including API specifications, data models, and design documentation
  • Actively participate in Agile ceremonies, such as stand-ups, sprint planning, and retrospectives, ensuring effective communication and collaboration across the team
  • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget
  • Continuously evaluate and recommend new technologies, frameworks, and tools, helping to drive innovation and keep the team up-to-date with industry trends
  • Assist in the estimation, prioritization, and planning of development tasks, ensuring projects are delivered on time and within budget
  • Engage in ongoing professional development to stay current with industry best practices, and share knowledge and insights with the team as appropriate


  • Bachelor's degree in Computer Science, Engineering, or a related field and/or 5+ years of experience in Data Engineering
  • PostgreSQL proficiency, specifically in Amazon RDS.
  • Familiarity with cloud services (AWS: RedShift, DynamoDB, Lambda, RDS, IAM, AWS CLI, etc.) 
  • Knowledge of Datalakes and Data Warehousing 
  • Understanding of cloud data principles
  • Good problem-solving skills and attention to detail.

Nice to have

  • Experience delivering large-scale, data-intensive solutions involving Datalakes and Data Warehousing
  • Building and designing data pipelines and aggregators
  • Associate or Professional AWS certifications.
  • Experience with CI/CD tools, such as Jenkins and Github Actions.
  • Prior software development experience with languages such as JS/TS, Java, Go, or Python is a plus.

Bellese offers

  • Four weeks paid leave
  • Flexible Schedule and Remote-First culture
  • $3000 annual education stipend
  • Work from home setup including Macbook (possibly used/refurbished)
  • Collaborative, learning environment
  • Health insurance
  • 401K Plan with Safe Harbor contribution


U.S. citizen or legal right to work in the United States without sponsorship

Bellese Technologies, LLC is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.  In addition to federal law requirements, Bellese Technologies, LLC complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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