Senior Data Engineer

  • Remote
  • Specialism : Data Engineer
  • Post Date: September 9, 2025
  • Expires In : 88 Days
  • Apply Before: December 8, 2025
  • Applications 0
  • Views 515
Job Overview

JOB DETAILS

 

 

REQUIREMENTS

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • 5+ years of hands on experience building and operating production grade data pipelines.
  • Solid experience with workflow orchestration tools (Dagster) and transformation frameworks (DBT) or other similar tools such (Microsoft SSIS, AWS Glue, Air Flow).
  • Strong SQL skills on PostgreSQL for data modeling and query optimization or any other similar technologies (Microsoft SQL Server, Oracle, AWS RDS).
  • Working knowledge with AWS data services: Athena, Glue, SQS, SNS, IAM, and CloudWatch.
  • Basic proficiency in Python and Python data frameworks (Pandas, PySpark).
  • Experience with version control (GitHub) and CI/CD for data projects.
  • Familiarity with healthcare data standards and HIPAA compliance.
  • Excellent problem solving skills, attention to detail, and ability to work independently.
  • Strong communication skills, with experience mentoring or leading small technical efforts.

 

RESPONSIBILITIES

  • Collaborate with the Team Lead and cross functional teams to gather and refine data requirements for Denials AI solutions.
  • Design, implement, and optimize ETL/ELT pipelines using Python, Dagster, DBT, and AWS data services (Athena, Glue, SQS).
  • Develop and maintain data models in PostgreSQL; write efficient SQL for querying and performance tuning.
  • Monitor pipeline health and performance; troubleshoot data incidents and implement preventive measures.
  • Enforce data quality and governance standards, including HIPAA compliance for PHI handling.
  • Conduct code reviews, share best practices, and mentor junior data engineers.
  • Automate deployment and monitoring tasks using infrastructure-as-code and AWS CloudWatch metrics and alarms.
  • Document data workflows, schemas, and operational runbooks to support team knowledge transfer.

 

Are you interested in this position?

 

 

 

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