Staff Data Engineer (Databricks) - Remote - USA

FullStack is one of the fastest-growing software consultancy companies in the Americas, focused on delivering transformational digital solutions. They are seeking a Staff Data Engineer to integrate with client teams or work on FullStack product teams, focusing on building scalable data services and enterprise-grade pipelines.

Responsibilities:

• Integrate directly into our client's team and work alongside their existing designers and engineers daily
• Work on a FullStack product team to build and deliver a product to our clients
• Designing and implementing complex ETL/ELT pipelines in distributed data ecosystems
• Developing data ingestion microservices and RESTful APIs/SDKs to enable scalable and secure data integration
• Driving technical leadership as a Staff or Lead engineer, promoting adoption of robust software design patterns and architectural standards
• Building and maintaining real-time or streaming data pipelines within low-latency architectures
• Working with data governance tools such as data catalogs, discovery platforms, and security scanning solutions
• Handling sensitive healthcare data at scale, ensuring strict adherence to HIPAA regulations and PHI security standards
• Creating and maintaining continuous integration and delivery of applications

Requirements:

• 5+ years of professional experience in data engineering
• Advanced English is required
• Successful completion of a four-year college degree is required
• Solid background working within Databricks environments as the primary platform for scalable data services and enterprise-grade pipeline development
• Demonstrated expertise designing and implementing complex ETL/ELT pipelines in distributed data ecosystems
• Proven experience developing data ingestion microservices and RESTful APIs/SDKs to enable scalable and secure data integration
• Strong engineering rigor, including CI/CD integration, Test-Driven Development (TDD), and version control best practices within data platforms
• Experience debugging, optimizing, and scaling distributed data processing systems in high-volume environments
• Demonstrated ability to drive technical leadership as a Staff or Lead engineer, promoting adoption of robust software design patterns and architectural standards
• Experience operating within regulated, compliance-driven enterprise environments is required
• Ability to work through new and difficult issues and contribute to libraries as needed
• Ability to create and maintain continuous integration and delivery of applications
• Forensic attention to detail
• A positive mindset and a can-do attitude
• Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon
• Ability to identify with the goals of FullStack's clients, and dedicate yourself to delivering on the commitments you and your team make to them
• Ability to consistently work 40 hours per week
• Experience building and maintaining real-time or streaming data pipelines within low-latency architectures is preferred
• Strong familiarity with observability frameworks, including automated data quality validation, monitoring, and logging practices
• Experience working with data governance tools such as data catalogs, discovery platforms, and security scanning solutions
• Proven experience handling sensitive healthcare data at scale, ensuring strict adherence to HIPAA regulations and PHI security standards
• Experience working on Agile / Scrum teams
• Meaningful experience working on large, complex systems