Software Development Engineer (SDE) Data & Analytics (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 Software Development Engineer (SDE) to work on data engineering, analytics, client implementations, and AI-driven healthcare applications within the Skypoint platform. This role involves building scalable data pipelines, developing analytics solutions, collaborating with customers, and contributing to modern AI-powered healthcare products.

This is a highly cross-functional role where you will work closely with engineering, product, analytics, and client teams to deliver impactful healthcare technology solutions.

Location: Remote (occasional travel to the Bangalore office based on business needs)

Responsibilities

• Coordinate with client vendors to obtain credentials and access for various data sources and configure data ingestion into the Lakehouse platform.
• Build and maintain ETL/ELT pipelines for extracting, transforming, and loading healthcare and operational data.
• Perform end-to-end data validation including row counts, KPI verification, aggregations, and source-to-target reconciliation.
• Design star-schema data models and contribute to Power BI semantic models and DAX measures.
• Develop interactive Power BI dashboards and KPI reports across operational, financial, clinical, and marketing domains.
• Manage report publishing, refresh schedules, and row-level security in Power BI Service.
• Strong expertise in Data & Analytics with advanced Power BI skills, including designing, developing, and maintaining interactive dashboards, reports, and data visualizations.
• Proven ability to translate business requirements into actionable insights through data modeling, DAX, Power Query, and dashboard development.
• Experience working with large datasets, integrating multiple data sources, and delivering executive-level reporting and KPI dashboards is essential.
• Collaborate with engineering teams on application development and data-layer integrations.
• Assist with API-to-data mapping, data integrations, and QA validation of data-driven applications.
• Serve as a point of contact for assigned customers for requirements gathering, data walkthroughs, implementation discussions, and post-launch support.
• Leverage AI-powered tools and validate AI-generated outputs for accuracy and reliability.
• Contribute to scalable healthcare AI and analytics solutions within the Skypoint ecosystem.

Qualifications

• Bachelor s degree in Computer Science, Data Science, Information Systems, or a related field
• Strong experience with SQL and data transformation
• Hands-on experience with Power BI dashboards, reports, and DAX
• Understanding of data modeling concepts including star/snowflake schema
• Experience building ETL/ELT pipelines and modern data workflows
• Familiarity with APIs, integrations, and cloud-based data platforms
• Strong analytical, problem-solving, and communication skills
• Ability to collaborate with internal teams and external customers
• Interest or exposure to AI-powered analytics and modern AI tools

Preferred Skills

• Strong hands-on experience in Power BI dashboard development, including DAX, Power Query, and data modeling. Ability to create executive dashboards and actionable insights by integrating data from multiple sources.

• Experience with Lakehouse or modern data architectures
• Exposure to AWS, Azure, or modern cloud data platforms
• Experience with healthcare analytics or healthcare datasets
• Prior experience in analytics engineering, BI, implementation, or data engineering roles

Life at Skypoint

Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced tech…