Forward-Deployed Data Engineer

Skypoint is a HITRUST r2–certified Agentic AI platform for healthcare operations
, designed to accelerate productivity and operational efficiency across healthcare organizations. Our platform enables healthcare providers, payers, and senior care organizations to unify fragmented data, model industry‑specific ontologies, and deploy AI agents that automate workflows and support better, faster decision‑making.

Founded in 2020 in Portland, Oregon, Skypoint has grown to a team of over 75 employees and now serves more than 100 customers. We are proud to be recognized on Deloitte’s 2024 and 2025 Technology Fast 500™, celebrating the fastest‑growing technology companies in North America, and to be featured on the INC. 5000 list in 2025
, reflecting our strong and sustained revenue growth over the past three years.

We are looking for a Forward‑Deployed Data Engineer who thrives at the intersection of technical craftsmanship and client impact. This is a hands‑on engineering role embedded within our customer‑facing delivery team, working directly with healthcare clients — across payer, provider, and health system environments — to design, build, and optimize the data infrastructure that powers their most critical analytics and AI initiatives.

You are a builder at heart, but you understand that the best data pipelines are ones that serve real people making real decisions. You are fluent in SQL and DBT, meticulous about data modelling, and energized by the challenge of turning messy, complex healthcare data into clean, reliable, well‑governed data products.

You also bring an AI‑first mindset to your craft. You reach for AI‑assisted coding tools instinctively, you think about how the pipelines you build today can power agentic workflows tomorrow, and you are genuinely excited about what it means to build data infrastructure for a world where AI agents are first‑class consumers of data.

Life time Work, 500 SW 116th Ave., Suite 152, Portland, OR 97225.

• Design, build, and maintain scalable ELT/ETL pipelines that ingest, transform, and serve healthcare data across cloud platforms including Databricks and Snowflake
• Develop robust dbt projects — models, tests, documentation, macros, and packages — that serve as the transformation layer for client data platforms
• Build and manage data pipelines handling complex healthcare data types: claims, clinical, eligibility, provider, and financial datasets
• Implement data quality frameworks, testing strategies, and observability tooling to ensure pipeline reliability and data trustworthiness
• Optimize query performance, warehouse configurations, and pipeline orchestration for cost‑efficiency and speed

• Design and implement scalable dimensional data models, star schemas, and data warehouse architectures optimized for analytics, AI, and operational reporting.
• Develop and maintain trusted semantic and conformed data layers that serve as the foundation for business intelligence, machine learning, and AI‑driven applications.
• Establish and enforce enterprise data modelling standards, naming conventions, and data layer frameworks (raw, staging, curated, and marts) to ensure consistency, governance, and scalability.
• Partner with business stakeholders, analytics teams, and product owners to translate business requirements into robust, high‑quality data solutions.
• Build and optimize interactive Power BI dashboards, reports, and visualizations that provide actionable insights, support executive decision‑making, and drive business outcomes.
• Ensure data accuracy, performance, and usability across reporting and analytical environments through continuous monitoring and optimization.

• Work directly with client data and engineering teams throughout project delivery — translating requirements, reviewing existing architectures, and aligning on technical approaches
• Participate in client working sessions and technical discussions, clearly communicating data modelling decisions, trade‑offs, and recommendations
• Produce clean technical documentation — data dictionaries, lineage diagrams, architecture…