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Data Engineer; REMOTE

Remote / Online - Candidates ideally in
Orlando, Orange County, Florida, 32885, USA
Listing for: GuruLink
Full Time, Remote/Work from Home position
Listed on 2025-12-18
Job specializations:
  • Software Development
    Data Engineer
Job Description & How to Apply Below
Position: Data Engineer (REMOTE/US)

Location:

REMOTE / Orlando, Florida

This job allows you to work remotely.

We are looking for a Data Engineer contractor (Corp to Corp Engagement) to help augment the development staff to achieve the delivery of new solutions and enhancements.

Work Description and Responsibilities
  • Designing/developing the application services for an enterprise application solution
  • Creating unit test plans/cases, developing, unit testing, and conducting code & unit test walkthroughs

Skills/

Experience:

Databricks, Data Lake

Needing someone to handle the migration of data

Must have a U.S. citizenship or be a Green Card holder with no work restrictions.

Must currently reside in the US

DEEPFAKE CANDIDATES DO NOT APPLY

NO SUB-CONTRACTING

Must Have Skills Skills Required
  • 4+ years’ experience building high-performance, large-scale, and scalable software systems
  • 4+ years’ experience designing data solutions, modeling data, and developing ETL pipelines.
  • 4+ years’ experience with the following:
    • Python, Scala, Spark, Powershell
    • C#.NET
    • Microsoft / Azure / Oracle / SQL Server
  • Experience with Git Source Control/Azure Dev Ops
  • Experience with Open Source Logging frameworks
  • Experience working in an agile development environment using Azure Dev Ops
  • Must be flexible and able to handle all situations in a professional manner
  • High degree of self-motivation, commitment, and integrity
  • Must have an excellent attendance and punctuality record
  • Excellent teamwork and communication skills
  • Bachelor’s degree in Computer Science or a related analytical field, or equivalent experience, is preferred.
Special Qualifications
  • Experience automating deployments with Dev Ops pipelines using YAML or Terraform.
  • Experience with Machine Learning techniques and tools.
  • Experience with Azure Dev Ops Boards and Work Items
  • Experience managing pipelines and CI/CD in Azure Dev Ops
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