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.
About the Role
We are looking for an experienced Senior Data Engineer with 5+ years of hands-on experience building scalable data platforms, ETL/ELT pipelines, and cloud-based data solutions.
You will work with engineering, product, analytics, and customer-facing teams to ingest, transform, model, and deliver data from multiple healthcare and enterprise systems. This is a hands-on role requiring strong technical ownership, problem-solving skills, and the ability to work directly with stakeholders and customers when required.
Key Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
Develop reliable data ingestion frameworks to integrate data from APIs, databases, files, cloud applications, and third-party systems.
Build and optimize data models, data warehouses, and data lake/lakehouse architectures.
Develop data transformation and processing workflows using Python, SQL, PySpark/Spark, and modern data engineering frameworks.
Work extensively with cloud data platforms such as Snowflake, Databricks, AWS, or Azure.
Build batch and real-time/near-real-time data processing pipelines.
Implement data quality checks, validation frameworks, monitoring, logging, and alerting.
Optimize pipelines and queries for performance, scalability, reliability, and cost efficiency.
Troubleshoot complex data issues across source systems, pipelines, transformations, and downstream applications.
Work with Product and Engineering teams to define data requirements for AI, analytics, reporting, and application use cases.
Support integrations with healthcare and enterprise systems and ensure accurate movement of data between platforms.
Maintain appropriate documentation for data models, pipelines, integrations, and technical processes.
Participate in code reviews and contribute to engineering standards and best practices.
Mentor junior engineers and provide technical guidance where required.
Collaborate directly with US-based teams and customers to understand requirements, troubleshoot issues, and deliver solutions.
Required Skills & Experience
5+ years of professional Data Engineering experience.
Advanced proficiency in SQL and Python.
Strong hands-on experience building production-grade ETL/ELT and data integration pipelines.
Experience with Apache Spark/PySpark for large-scale data processing.
Strong experience with at least one modern data platform such as Snowflake or Databricks.
Experience working with AWS or Azure cloud services.
Strong understanding of data warehousing, data lakes/lakehouses, dimensional modeling, and data architecture.
Experience integrating data through REST APIs, databases, SFTP/files, and third-party applications.
Experience with orchestration tools such as Airflow, Azure Data Factory, AWS Glue, or similar technologies.
Understanding of CI/CD, Git, version control, and software engineering best practices.
Strong understanding of data quality, governance, security, and performance optimization.
Excellent debugging and problem-solving skills.
Strong verbal and written communication skills.
Ability to independently own requirements and deliver solutions in a fast-paced environment.
Comfortable working remotely and collaborating primarily during EST/PST business hours.
Good to Have
Experience working with healthcare data and healthcare technology platforms.
Understanding of healthcare standards and systems such as FHIR, HL7, EHR/EMR, PointClickCare, claims, clinical, or operational healthcare data.
Experience with dbt and modern analytics engineering practices.
Experience with Kafka or other streaming technologies.
Experience building data pipelines supporting AI/ML, Generative AI, or Agentic AI applications.
Familiarity with HIPAA, HITRUST, data privacy, and security requirements.
Experience in a customer-facing engineering or implementation environment.
What We Look For
We are looking for someone who combines strong data engineering fundamentals with ownership and customer orientation. You should be comfortable solving complex data problems independently, working with large and messy datasets, collaborating directly with US stakeholders, and taking a solution from requirement gathering through production deployment.
Shift Requirement: Candidates must be comfortable working primarily during EST/PST business hours based on project and customer requirements.
Life at Skypoint
Life at Skypoint is vibrant and forward-thinking, focused on harnessing the power of AI and advanced technologies to innovate and solve real-world challenges. Our culture thrives on creativity, strategic thinking, and a commitment to excellence, offering a collaborative environment where every contribution is valued.
We are dedicated to fostering personal and professional growth, ensuring team members have opportunities for advancement through continuous training and a flexible work-life balance. Skypoint offers competitive benefits, including comprehensive health insurance and retirement plans.
What We Offer:
Competitive compensation with stock options
Comprehensive health benefits, including OPD and gym reimbursements and mental wellness support
Remote work flexibility
Direct exposure to U.S.-based healthcare customers and onsite opportunity
Opportunity to work on cutting-edge AI, data, and healthcare technology solutions
Join us to be part of a dynamic team that's shaping the future with groundbreaking solutions in AI and technology, all while enjoying a supportive and inclusive workplace!
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
