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Remote Azure Data Engineer Jobs in Pasadena, CA (NOW HIRING)

AI/ML Engineer - Remote

Los Angeles, CA ยท Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... Azure IL5+, Vertex AI, and AWS Bedrock . * Build robust ETL and data pipelines , metadata catalogs ...

Manager - Data Engineering

Alhambra, CA ยท On-site +1

$140K - $160K/yr

Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). * Advanced proficiency with SQL and scripting/programming languages ...

Manager - Data Engineering

Alhambra, CA ยท On-site +1

$140K - $160K/yr

Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). * Advanced proficiency with SQL and scripting/programming languages ...

Manager - Data Engineering

Alhambra, CA ยท On-site +1

$140K - $160K/yr

Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). * Advanced proficiency with SQL and scripting/programming languages ...

Req ID: 353881 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years * Experience working in ...

Req ID: 353881 NTT DATA strives to hire exceptional, innovative and passionate individuals who want ... Azure cloud experience (Azure ML, Azure OpenAI, Functions, AKS) - 5+ Years * Experience working in ...

Showing results 21-40

Remote Azure Data Engineer information

See Pasadena, CA salary details

$48.5K

$141.5K

$193.6K

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

As of Sep 4, 2026, the average yearly pay for remote azure data engineer in Pasadena, CA is $141,495.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $150,000.00 per year, depending on experience, location, and employer.

What is a remote Azure Data Engineer?

A Remote Azure Data Engineer is responsible for designing, implementing, and managing data solutions using Microsoft Azure cloud services while working from a remote location. They work with tools like Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics to process, store, and analyze data. Their role includes data pipeline development, performance optimization, and ensuring data security. Collaboration with data scientists, analysts, and business teams is common to support data-driven decision-making.

What are the key skills and qualifications needed to thrive as a remote Azure Data Engineer?

To thrive as a Remote Azure Data Engineer, you need expertise in designing, implementing, and managing data solutions using Microsoft Azure, along with proficiency in SQL, data warehousing, and ETL processes. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong problem-solving skills, effective communication, and the ability to work autonomously make candidates stand out in this remote role. These skills ensure that data pipelines are robust, secure, and scalable, enabling organizations to make data-driven decisions efficiently.

What are some common challenges a remote Azure Data Engineer might face, and how are they typically addressed?

A common challenge for Remote Azure Data Engineers is ensuring secure, reliable data transfer and integration across distributed systems while collaborating with teams that may be in different time zones. This is typically addressed by implementing best practices for cloud security, employing automated monitoring, and leveraging project management tools to stay aligned with cross-functional teams. Clear, proactive communication is essential in a remote environment, as is documentation to keep everyone updated on project progress. Many organizations also offer regular virtual check-ins and access to knowledge-sharing platforms to foster collaboration. By staying organized and proactive, remote Azure Data Engineers can successfully deliver scalable data solutions in a distributed work setup.

What are the most commonly searched types of Azure Data Engineer jobs in Pasadena, CA?

The most popular types of Azure Data Engineer jobs in Pasadena, CA are:

What are popular job titles related to Remote Azure Data Engineer jobs in Pasadena, CA?

For Remote Azure Data Engineer jobs in Pasadena, CA, the most frequently searched job titles are:

What cities near Pasadena, CA are hiring for Remote Azure Data Engineer jobs?

Cities near Pasadena, CA with the most Remote Azure Data Engineer job openings:

Infographic showing various Remote Azure Data Engineer job openings in Pasadena, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,495 per year, or $68 per hour.

AI/ML Engineer - Remote

YO AI Labs

Los Angeles, CA โ€ข Remote

$200 - $350/hr

Full-time

Posted 7 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.