About the role

Senior Data Engineer building and maintaining infrastructure for data platforms at FutureFit AI. Collaborating with data scientists to develop high-quality data solutions.

Responsibilities

Building and maintaining the infrastructure that powers our data platform including pipeline orchestration, data warehousing, and machine learning
Develop and maintain data solutions alongside a team of data scientists that enable our product to function at scale and with quality
Uphold best practices in data governance, ensuring accuracy, accessibility, and compliance across data systems
Surface and integrate data from across the platform to address real business needs in product, engineering, and GTM.
Continuously evolve our foundational models by identifying and incorporating new, high-value data sources.

Proven ability to translate ambiguous business problems into clear, actionable insights
Hands-on experience using SQL and Python for analysis in a professional setting
Experience building and maintaining data pipelines, warehouses, and infrastructure
Strong communication skills to convey technical insights to both technical and non-technical stakeholders
Demonstrated ownership of analytics solutions, ensuring accuracy, reliability, and business alignment
Familiarity with data visualization tools such as Looker, Power BI, or Tableau
Familiarity with modeling structured and unstructured data, including NoSQL databases like MongoDB
A sharp, kind, and open-minded approach, driven by both excellence and impact.