This is a remote position.
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Company Overview:
Full Scale is a tech services company that helps businesses build dedicated teams of skilled software engineers. We make finding and retaining experienced software talent easy and affordable.
We’re looking for a Senior Data Engineer to build and maintain automated ETL pipelines that support business-critical data workflows. You’ll work with structured files, transform and validate data, and ensure seamless integration across systems.
Key Responsibilities:
Develop and maintain automated pipelines for extracting, transforming, and loading business-critical data across systems.
Clean and validate structured files (e.g., time logs, estimates, receipts) into normalized SQL staging layers.
Convert transformed records into system-ready formats and feed outbound sync queues.
Ensure auditability and retry handling for all data transfer jobs.
Collaborate with developers and architects to align transformation logic with end-user workflows.
6+ years in data engineering, with a focus on ETL pipelines and Azure technologies
Proficient in Azure Data Factory or Airflow, SQL, and Python for data transformations
Familiar with middleware sync tools and writeback queue design
Experience working with scheduling, payroll, estimating, or financial datasets preferred
Strong understanding of Agile delivery cycles, and experience managing work via Jira
Ability to work iteratively, validate outputs in cycles, and support backlog-driven delivery
Permanent Work-from-home or work-anywhere setup
Work-from-home allowance
Health Insurance on day 1 of employment with free three (3) dependents
Group Term Life Insurance
A laptop and other equipment
Other top benefits
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