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Data Engineer; Python, SQL, AWS SHADC

Job in Durham, Durham County, North Carolina, 27703, USA
Listing for: Compunnel Inc.
Full Time position
Listed on 2026-05-14
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, Database Administrator, Data Warehousing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineer (Python, SQL, AWS)-- SHADC5784192

Qualifications

  • Bachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.) required.
  • Extensive experience in relational databases like Oracle or Snowflake
  • Experience in Data warehousing, data modelling and creation of data marts.
  • Experience in developing data applications in Cloud (AWS/Azure/Google Cloud)
  • Experience with ETL technologies (Informatica/Snaplogic etc)
  • Experience with Business Intelligence and Dashboards is a plus
  • Experience with Dev Ops, Continuous Integration and Continuous Delivery (Maven, Jenkins, Stash, Ansible, Docker) is a plus
  • Experience in Agile methodologies (Kanban and SCRUM) is a plus
Must have skills

What are the top three MUST have soft skills and technical skills (experience candidates must have coming in the door)?

  • Python (need to know Python language to extract critical elements and re-build in new ecosystem)
  • SQL
  • AWS (brand new solutions built on AWS, breaking down on-prem databases/pipelines into the AWS ecosystem)
  • Data Warehouse experience
  • Client need someone who can:
    • Understand complex legacy databases (Oracle)
    • Write strong SQL for transformation and optimization
    • Use Python to build data pipelines and ETL logic
    • Build scalable data warehouse solutions
    • Support enterprise-wide Data Lake architecture

    This is a migration + modernization role, a senior engineer who can rebuild legacy Oracle-based data systems into AWS + Snowflake using strong Python + SQL + Data Warehousing expertise.

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