Forward Deployed Engineer (Pst Shift)

About Skypoint

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.

Role Overview

We are looking for a Forward Deployed Engineer (FDE) to work directly with customers and our Product and Engineering teams to deploy data, analytics, and AI-powered solutions on the Skypoint platform.

This is a hands-on, customer-facing engineering role combining data engineering, analytics, Power BI, solution implementation, and AI. You will own technical implementations from requirements and data discovery through development, validation, deployment, and post-launch support.

The ideal candidate is technically strong, comfortable interacting directly with customers, and able to translate complex business requirements into scalable data and AI solutions.

Location: Remote – India
Shift: PST hours; candidates must be comfortable working primarily in the Pacific Time (PST/PDT) shift to collaborate with U.S.-based customers and teams.
Travel: Occasional travel to the Bangalore office may be required based on business needs.

What You’ll Do

Customer Implementation & Forward Deployment

• Work directly with customers to understand business requirements, data sources, workflows, KPIs, and implementation needs.

• Own customer implementations from requirements gathering and data discovery through deployment and post-launch support.

• Conduct technical and data walkthroughs with customer stakeholders.

• Coordinate with customers and their vendors to obtain access, credentials, APIs, and other information required for data integrations.

• Troubleshoot implementation and data issues and work closely with internal Engineering and Product teams to resolve them.

• Translate customer requirements and feedback into actionable technical and product requirements.

Data Engineering & Integration

• Build and maintain ETL/ELT pipelines for healthcare and operational data.

• Integrate data from multiple sources, including databases, APIs, files, and third-party systems.

• Perform API-to-data mapping and configure data ingestion into Lakehouse environments.

• Work with large datasets and perform source-to-target reconciliation, data quality checks, and transformation.

• Collaborate with Engineering teams on application development and data-layer integrations.

• Work with modern cloud and Lakehouse platforms such as Databricks, Microsoft Fabric, Azure, or Snowflake.

Analytics & Power BI

• Develop interactive Power BI dashboards, reports, and executive-level KPI views across operational, financial, clinical, and other business domains.

• Design star-schema data models, semantic models, DAX measures, and Power Query transformations.

• Perform end-to-end data validation, including row counts, KPI verification, aggregations, and source-to-target reconciliation.

• Manage report publishing, refresh schedules, and row-level security within Power BI Service.

• Translate business requirements and complex datasets into clear, actionable insights.

AI & Product Engineering

• Leverage AI-powered development and analytics tools to accelerate implementation and problem-solving.

• Validate AI-generated outputs for accuracy, reliability, and business relevance.

• Contribute to the implementation and continuous improvement of AI-powered healthcare applications.

• Work closely with Product and Engineering teams to turn customer use cases into scalable capabilities within the Skypoint platform.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

• 2–5 years of experience in data engineering, analytics engineering, BI, implementation engineering, or a similar technical role.

• Strong hands-on experience with Python and SQL for data transformation, integration, and validation.

• 2+ years of hands-on Power BI experience, including DAX, Power Query, semantic models, dashboards, and Power BI Service.

• Experience building ETL/ELT pipelines using a cloud or Lakehouse platform such as Databricks, Azure, Snowflake, or Microsoft Fabric.

• Strong understanding of data modeling, including star/snowflake schemas and semantic models.

• Experience working with APIs and integrating data from multiple systems.

• Strong analytical, troubleshooting, and problem-solving skills.

• Excellent communication skills and confidence working directly with customers and external vendors.

• Ability to independently own technical deliverables in a fast-paced, customer-facing environment.

• Comfortable working in PST/PDT hours to support U.S.-based customers.

Preferred Skills

• Experience with healthcare data, healthcare analytics, or other regulated datasets.

• Experience with Lakehouse and modern cloud data architectures.

• Exposure to AWS, Azure, Databricks, Snowflake, or Microsoft Fabric.

• Experience developing executive-level dashboards and KPI reporting solutions.

• Hands-on exposure to Generative AI, AI agents, LLMs, or AI-assisted development tools.

• Previous experience in a Forward Deployed Engineer, Solutions Engineer, Implementation Engineer, Analytics Engineer, BI, or Data Engineer role.

Life at Skypoint

Life at Skypoint is fast-paced, collaborative, and focused on using AI and modern technology to solve real-world healthcare challenges. Our teams work closely across Product, Engineering, Data, and Customer Success, giving you the opportunity to see the direct impact of what you build.

We support continuous learning, mentorship, ownership, and career growth while giving team members opportunities to work on emerging AI and healthcare technologies.

What We Offer

• Competitive compensation with stock options

• Comprehensive health benefits, including OPD and gym reimbursements and mental wellness support

• Remote work flexibility

• Continuous learning and career growth opportunities

• Direct exposure to U.S.-based healthcare customers

• Opportunity to work on cutting-edge AI, data, and healthcare technology solutions

Join us and help shape the future of healthcare through AI-powered innovation.

Skypoint is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic.