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Cloud EngineeringRemote

Data Automation Engineer

The Computer Merchant, LTD. - Agency

US, ๐Ÿ‡บ๐Ÿ‡ธ United StatesFull-time - Senior (4-7 years)0 applicantsCloses Jul 12, 2026

Salary

USD 128,725 - 128,725 / year

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Job description

Job details

  • Location: US
  • Work mode: Remote
  • Employment type: Full-time (Not an internship)
  • Salary: USD 128,725 per year

Role overview

The Computer Merchant, LTD. is seeking a skilled Data Automation Engineer to join their technical team in Washington DC. In this remote role, you will collaborate with subject matter experts and developers to design and implement innovative data automation solutions. You will be responsible for translating complex business requirements into scalable data engineering and AI-based solutions to support enterprise-scale operations.

Job details

This is a Full-time position based in Washington DC, operating as a fully Remote role. This is not an Internship. The offered salary for this position is 128,725 USD per year.

Responsibilities

  • Design and implement innovative data automation solutions for Azure cloud-based platforms.
  • Develop scalable data pipelines for Azure Data Lake, SQL, and NoSQL environments.
  • Translate complex business requirements into technical data engineering specifications.
  • Collaborate with subject matter experts to integrate AI-based solutions into the data workflow.
  • Ensure the stability and performance of enterprise-scale data automation systems.

Requirements

  • Proven experience as a Data Automation Engineer or similar data engineering role.
  • Strong proficiency with Azure cloud services and data lake architectures.
  • Expertise in writing and optimizing complex SQL and NoSQL queries.
  • Experience implementing AI-driven automation within a data pipeline.
  • Ability to work independently in a remote environment while maintaining team alignment.

Benefits

  • Competitive hourly wage and annual salary.
  • Fully remote work flexibility.
  • Opportunity to work with cutting-edge AI and cloud technologies.
  • Professional growth within an enterprise-scale environment.

Keywords

AzureData LakeSQLNoSQLData AutomationAI SolutionsData EngineeringCloud Computing