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Full Time Remote Azure Data Engineer Jobs in Houston, TX

YO AI Labs

DevOps Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... * Platform Engineering * AWS / Azure / GCP * Kubernetes / Docker * Terraform * CI/CD * GitHub ...

YO AI Labs

Backend Java Developer - Remote

Houston, TX · Remote

$60 - $110/hr

Solid knowledge of REST APIs, data structures, and backend best practices . * Strong problem ... Experience with AWS, Azure, or Google Cloud . * Experience with high-availability or distributed ...

ARStrat

Security Engineer II

Sugar Land, TX · Remote

$110K - $153K/hr

Azure and/or AWS cloud security * Firewalls, network security, and secure remote access * Email and ... Data Loss Prevention (DLP) * Experience investigating security alerts and responding to security ...

GetixHealth

Security Engineer II

Sugar Land, TX · Remote

$110K - $153K/hr

Azure and/or AWS cloud security * Firewalls, network security, and secure remote access * Email and ... Data Loss Prevention (DLP) * Experience investigating security alerts and responding to security ...

YO AI Labs

Infrastructure Expert - Remote

Houston, TX · Remote

$30 - $80/hr

Remote Job Overview We are seeking experienced Developer & Infrastructure Experts to evaluate AI ... Review workflows involving GitHub, GitLab, Azure DevOps, and JIRA . * Assess AI agents and ...

New Math Data

Solution Architect

Houston, TX · On-site +1

$60.25 - $79.25/hr

Expertise in AWS, Azure, Python, Scala, and distributed data processing. * Experience in energy ... Telecommuting or remote work is acceptable. Employment Type: FULL_TIME

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Showing results 21-40

All JobsAzure Data Engineer JobsFull Time Remote Azure Data Engineer JobsFull Time Remote Azure Data Engineer Jobs in Houston, TX

Full Time Remote Azure Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do full time remote azure data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for full time remote azure data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Remote Azure Data Engineer vs Full Time Remote Data Analyst?

AspectFull Time Remote Azure Data EngineerFull Time Remote Data Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsSQL, Excel, data visualization tools, sometimes certifications
Work EnvironmentCloud platforms, data pipelines, codingData interpretation, reporting, dashboards
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail
Common Search/ComparisonYesYes

Azure Data Engineers focus on building and maintaining data pipelines using Azure cloud services, requiring technical skills and certifications. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, their responsibilities and skill sets differ significantly, making this comparison useful for job seekers exploring remote opportunities in data roles.

Full Time Remote Azure Data Engineer jobs near you
Infographic showing various Full Time Remote Azure Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Military/Veteran Mental Health Experts - Remote

YO AI Labs

Houston, TX • Remote

$200 - $350/hr

Full-time

Posted 9 days ago

Job description

AI/ML Engineer

Job Type: Full-Time
Location: Remote

Job Summary

We are seeking an experienced AI/ML Engineer to build and deploy secure, scalable AI solutions for mission-critical initiatives while contributing to proprietary AI infrastructure. You will work with LLMs, RAG, prompt engineering, multi-agent systems, and cloud AI platforms to develop production-grade machine learning applications.

Key Responsibilities
  • Design, implement, and optimize AI/ML solutions using LLMs, RAG, and prompt engineering.
  • Develop and orchestrate multi-agent systems using LangGraph and LangChain.
  • Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Build robust ETL and data pipelines, metadata catalogs, and ontologies for AI training and inference.
  • Develop and maintain REST APIs and SDK integrations.
  • Collaborate with product, security, and engineering teams to deliver secure, scalable solutions.
  • Follow modern secure coding, DevOps, and CI/CD practices.
  • Document technical decisions and communicate complex concepts effectively to technical and non-technical stakeholders.
Required Skills & Qualifications
  • Strong Python proficiency for AI/ML development, including REST APIs and SDK integrations.
  • Hands-on production experience with LLMs, RAG, and prompt engineering.
  • Experience with multi-agent orchestration, tool use, LangGraph, and LangChain.
  • Strong knowledge of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
  • Experience building data pipelines, ETL processes, metadata catalogs, and ontologies.
  • Strong understanding of secure coding and CI/CD practices.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience with enterprise AI platforms such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
  • Knowledge of MCP, metadata catalog platforms, and advanced API development.
  • Experience working in government, regulated, or security-sensitive cloud environments.
  • Familiarity with relevant compliance and security standards.