Senior Forward Deployed Engineer, Data & AI We''re looking for a hands-on engineer who thrives working side-by-side with clients to solve real-world data problems. You''ll be involved with technical delivery end-to-end — building the data pipelines that move information from raw to ready, and the models that turn it into insight. What you''ll do: Partner directly with clients and product teams, translating business problems into technical requirements (and technical solutions back into plain-language insights) Design and build end-to-end data pipelines, integrating data from various APIs and databases Implement Medallion architecture (Bronze/Silver/Gold) to organize data for analytics and AI Build and track ML and data analysis experiments (e.g., using MLflow) Use AI tools to accelerate prototyping and reduce repetitive work, while critically validating outputs for production quality Collaborate with Product Managers and Designers to turn vague asks like "I want better analytics" into concrete technical specs and dashboard prototypes Implement data governance, schema enforcement, and testing to ensure high data quality What you bring: 3+ years of hands-on experience in data engineering and/or data science Strong proficiency in Databricks, Spark/PySpark, and Delta Lakehouse architecture Expertise in Python, SQL, and PowerBI; experience with Azure tools (Data Factory, Key Vault) Solid statistics foundation — experimental design, hypothesis testing, causal inference — applied to real datasets Strong data visualization and storytelling skills for technical and non-technical audiences alike Experience orchestrating workflows with tools like Databricks Workflows, Airflow, or Azure Data Factory Comfort using AI coding tools (copilots, LLMs) with strong judgment on validation and correctness Git-based version control experience and comfort navigating ambiguity Bachelor''s degree in a technical field or equivalent practical experience Bonus points: consulting/professional services background; experience in healthcare or other data-intensive industries; dashboard-building experience with Databricks, Genie, or PowerBI