Develops scalable data and software systems using Python and Apache Spark. Designs APIs, data models, ETL workflows, orchestration, and data interactions while optimizing performance, scalability, integrity, and security. Builds user interfaces, contributes to automated testing, applies Agile practices, and supports CI/CD delivery. The role requires strong software engineering, distributed computing, analytical, and communication skills, with AWS, R, Databricks, and SAS experience preferred.
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
Security Clearance Requirements
- US Citizenship or Green Card only - we do not offer Sponsorship
- US Residency for at least the past 3 years
- Able to meet the requirements to hold a position of Public Trust, including successful completion of a US Government background investigation
- Disclaimer: Medical or recreational marijuana use is considered illegal at the federal level, regardless of state laws allowing such, and may affect your ability to obtain Public Trust. See article
Work that matters, with perks that deliver. Discover how Bellese Technologies invests in you through a benefits suite that makes every day better
- Remote First, Remote Only Culture
- Four weeks paid time off yearly (prorated based on start date for the first year)
- 10 paid floating company holidays
- Flexible schedule
- Work from home setup including a Macbook
- Collaborative, learning environment
- Medical, dental, and company-paid vision insurance
- Optional HSA account with some medical plans and a company contribution
- Company paid basic life and AD&D insurance coverages
- Company paid short and long term life insurance
- Optional critical illness and accident insurance
- 401K plan with 3% safe harbor contribution
- Wellness resources and virtual care
- Perks Plus employee discounts
You will like it here if
- You foster a collaborative ethos, driven by the mission to deliver exceptional customer service to clients. You are passionate about Healthcare and changing the healthcare landscape. You’re an out of the box thinker, always striving to know the “why” when it comes to building solutions. You excel in a team-oriented, remote-first environment characterized by mutual respect and open communication. Your adaptability and ability to navigate challenges ensure your success in any situation.
Preferred Qualifications
- AWS Experience (S3, EC2, Glue, Lambda, etc)
- R experience
- Professional Databricks/Apache Spark Certification(s)
- SAS experience
Similar Jobs
Financial Services
Leads data engineering within an agile team, designing secure and scalable data platforms, pipelines, architectures, storage, access, analytics, governance, backup, and recovery strategies. Develops advanced data models, evaluates security controls, documents best practices, and drives responsible AI-assisted engineering adoption. Provides technical leadership through architecture decisions, mentoring, cross-team influence, and operational support using Python, Databricks, Spark, AWS, and modern lakehouse patterns.
Top Skills:
SparkAWSDatabricksLakehouse ArchitecturesNosql DatabasesPythonRelational DatabasesStreaming Architectures
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
Blockchain • Fintech • Mobile • Payments • Software • Financial Services
Lead product data engineering initiatives by designing data models, owning critical pipelines, building data quality and lineage monitoring, and supporting experimentation and ML-ready datasets. Translate business needs into automated data solutions, maintain pipeline SLAs through on-call support, and develop AI-assisted tools for issue detection and resolution. Collaborate with Product, Engineering, Data Science, Machine Learning, and Applied AI teams across Block’s products.
Top Skills:
AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
