Job Details

About FullStack

FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

We're most proud of:

• Offering life-changing career opportunities to talented software professionals across the Americas.
• Building highly-skilled software development teams for hundreds of the world's greatest companies.
• Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.
• Our 4.2-star rating on GlassDoor.
• Our client Net Promoter Score of 68, twice the industry average.

The Position

We're looking to hire a Staff Data Engineer to join our team. You'll work with our incredible clients in one of two ways:

• Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
• Design & Build: You will work on a FullStack product team to build and deliver a product to our clients.

What We Are Looking For

• 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 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 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.
• Experience working on Agile / Scrum teams.
• Meaningful experience working on large, complex systems.
• 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.

What We Offer

• Competitive Salary.
• Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
• 100% remote work.
• The ability to work with leading startups and Fortune 500 companies.
• Health, dental, and vision insurance.
• 401(k) w/ 4% match.
• Ample opportunity for career advancement.
• Continuing education opportunities.

FullStack is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

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