Sr. Data & Application Engineer

Remote - PST Shift (IND) Full Time Healthcare Posted Sep 7, 2026 Job
-1N0

CLV

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 & Application Engineer with 5+ years of hands‑on engineering experience.

This is not solely a Data Engineering role. It is a Full-Stack Engineering role with a strong focus on data. The ideal candidate should be comfortable working across application development, data engineering, APIs, integrations, backend services, and customer‑facing technical requirements
.

You will work closely with engineering, product, analytics, and customer‑facing teams to build end-to-end solutions that ingest, transform, process, and deliver data across healthcare and enterprise systems.

This is a highly hands‑on role requiring strong technical ownership, problem‑solving skills, and the ability to interact directly with US-based customers and stakeholders
.

Key Responsibilities

Design, build, and maintain scalable ETL/ELT and data processing pipelines for structured and unstructured data.

Develop reliable data ingestion frameworks integrating APIs, databases, files, cloud applications, and third‑party systems
.

Build and maintain backend services, REST APIs, and application integrations
.

Contribute to full‑stack application development based on product and customer requirements.

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 engineering frameworks.

Work with cloud data platforms and technologies such as Snowflake, Databricks, AWS, and Azure
.

Build batch and real‑time/near‑real‑time data processing solutions.

Implement data quality checks, validation, monitoring, logging, and alerting.

Optimize applications, pipelines, and queries for performance, scalability, reliability, and cost efficiency
.

Troubleshoot complex issues across applications, APIs, source systems, pipelines, integrations, and downstream systems.

Work with Product and Engineering teams on AI, analytics, reporting, and application use cases
.

Translate customer and business requirements into scalable technical solutions
.

Participate in code reviews and contribute to software engineering standards and best practices.

Mentor junior engineers and provide technical guidance where required.

Collaborate directly with US-based customers and teams for requirement gathering, solution design, troubleshooting, implementation, and delivery.

Required Skills & Experience

5+ years of professional software/data engineering experience
.

Strong data engineering expertise combined with the ability and willingness to work on full‑stack development
.

Advanced proficiency in SQL and Python
.

Strong hands‑on experience building production‑grade ETL/ELT and data integration pipelines
.

Experience with
Apache Spark/Py Spark for large‑scale data processing.

Strong experience with Snowflake and/or Databricks
.

Expe…