Senior Data & App Engineer - Remote (EST/PST)

SkyPoint Cloud Inc.

Portland (OR)

Hybrid

USD 130,000 - 180,000

Full time

9 days ago
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Benefits offered by this job

Stock options
Comprehensive health benefits
Remote work flexibility

Job summary

SkyPoint Cloud Inc. is seeking a Senior Data & Application Engineer with 5+ years of hands-on software and data engineering. The role spans data pipelines, APIs, and full-stack development, collaborating with US-based customers and internal teams. Candidates should be comfortable with EST/PST business hours and remote work.

The position emphasizes data ingestion, transformation, and end-to-end solution delivery in healthcare operations, leveraging modern data platforms.

Qualifications

  • 5+ years of professional software/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 Snowflake and/or Databricks.
  • Experience with AWS or Azure cloud services.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT and data processing pipelines.
  • Develop data ingestion frameworks integrating APIs, databases, files, cloud apps, 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.
  • Develop data models, data warehouses, and data lake/lakehouse architectures.
  • Work with cloud data platforms such as Snowflake, Databricks, AWS, and Azure.

Skills

SQL
Python
ETL/ELT
Data pipelines
REST APIs
Airflow
Snowflake/Databricks

Tools

Spark
Databricks
AWS
Azure

Job description

SkyPoint Cloud Inc. is seeking a Senior Data & Application Engineer with 5+ years of hands-on software and data engineering. The role spans data pipelines, APIs, and full-stack development, collaborating with US-based customers and internal teams. Candidates should be comfortable with EST/PST business hours and remote work.

The position emphasizes data ingestion, transformation, and end-to-end solution delivery in healthcare operations, leveraging modern data platforms.

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