ZipRecruiter

Log In

2

Remote Azure Data Engineer Jobs in California (NOW HIRING)

tapouts

$114.10K - $155K/yr

Senior Data Engineer Location: Remote Type: Full-Time **We will only consider candidates who are ... Build and manage cloud-native data infrastructure on AWS, GCP, or Azure * Implement and maintain ...

tapouts

Senior Data Engineer

Venice, CA · On-site +1

$118.80K - $161.40K/yr

Senior Data Engineer Location: Remote Type: Full-Time **We will only consider candidates who are ... Build and manage cloud-native data infrastructure on AWS, GCP, or Azure * Implement and maintain ...

Hitachi

AI and Data Engineer

Santa Clara, CA · On-site +1

$29/hr

Profession (Job Category): IT, Telecom & Internet Job Schedule: Full time Remote: No AI and Data ... Familiarity with leading Generative AI models, such as Perplexity, Azure GPT, and NVIDIA's language ...

The Rockridge Group

Data Engineer

Emeryville, CA · Remote

$132.40K - $159K/yr

TITLE: DATA ENGINEER LOCATION: 100% remote Skillsets/experience: * Engineer background * Google Applications/Analytics experience required * Google Search console experience required * Google Tag ...

Viasat, Inc.

Data Engineer

Carlsbad, CA · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive ... Familiarity with at least one cloud provider such as AWS, GCP, or Azure. * Experience in design and ...

ChatGPT Jobs

Business Systems Data Engineer

El Segundo, CA · Remote

$120.80K - $145.10K/yr

Solana Beach, CA Remote Salary: $120.80K - $145.10K/yr (Estimated pay) Type: Full-time Benefits ... Familiarity with cloud data platforms (e.g., AWS, Azure, or GCP). Knowledge of API development and ...

Apex Informatics

SR. Data Engineer

San Diego, CA · On-site +1

$121.60K - $146K/yr

Senior Data Engineer Cupertino, CA or Austin, TX Onsite role Must have strong Python and SQL and ... Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage.

Techoundsllc

Data Engineer

Irvine, CA · Remote

$123.40K - $148.20K/yr

Job Overview We are seeking a skilled Data Engineer with 3-5 years of experience specializing in ... Remote

next page

Showing results 1-20

People also search for

All JobsRemote Azure Data Engineer JobsRemote Azure Data Engineer Jobs in California

Remote Azure Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

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

As of May 29, 2026, the average yearly pay for remote azure data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a Remote Azure Data Engineer job?

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 in the Remote Azure Data Engineer position, and why are they important?

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.
More about Remote Azure Data Engineer jobs
What are the most commonly searched types of Azure Data Engineer jobs in California? The most popular types of Azure Data Engineer jobs in California are:
What are popular job titles related to Remote Azure Data Engineer jobs in California? For Remote Azure Data Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Engineer jobs in California look for? The top searched job categories for Remote Azure Data Engineer jobs in California are:
What cities in California are hiring for Remote Azure Data Engineer jobs? Cities in California with the most Remote Azure Data Engineer job openings:
Remote Azure Data Engineer jobs near you
Data Analytics and AI Senior Consultant (51159)

Data Analytics and AI Senior Consultant (51159)

Citrin Cooperman

Carlsbad, CA • On-site, Remote

$70K - $125K/yr

Full-time

Posted 13 days ago

Job description

Senior Consultant - Data Analytics & AI is responsible for designing and implementing cutting-edge analytics and AI solutions to help clients harness the power of their data. This role requires deep expertise in data analytics and AI, cloud-based platforms, with a strong emphasis on Microsoft Fabric. Lead data initiatives, optimize data pipelines, and develop AI-driven solutions that enhance business decision-making and operational efficiency.
Key Responsibilities:
Data Analytics & AI Solutions Development:
  • Design and implement data analytics to support client business needs.
  • Develop scalable data architectures, ETL/ELT pipelines, and real-time analytics solutions using Microsoft Fabric.
  • Optimize data integration workflows using Microsoft OneLake, Synapse Data Engineering, and Data Factory.
  • Implement AI-driven automation, predictive modeling, and machine learning solutions.
  • Ensure data accuracy, consistency, and reliability across cloud and on-premises environments.

Microsoft Fabric & Cloud Expertise:
  • Leverage Microsoft Fabric's suite of tools, Data Warehouse, Data Factory, Power BI, and Lakehouse architecture.
  • Optimize data pipelines and analytics workflows for performance, cost efficiency, and scalability.
  • Ability to guide clients in Microsoft Power BI data modeling, dashboard development, and AI-powered insights.
  • Stay updated on Microsoft Fabric innovations, AI Copilot, and emerging data capabilities.

Client Engagement & Advisory:
  • Act as a trusted advisor to clients, understanding their business needs and recommending tailored data solutions.
  • Provide best practices on data governance, compliance, security, and responsible AI adoption.
  • Translate technical concepts into clear, actionable business insights for non-technical audiences.

Project Delivery & Execution:
  • Develop end-to-end analytics, ensuring timely and high-quality deliverables.
  • Collaborate with cross-functional teams.
  • Monitor project risks, troubleshoot technical challenges, and proactively mitigate roadblocks.
  • Ensure documentation, training, and knowledge transfer for sustainable analytics adoption.

  • Bachelor's or Master's degree in Data Science, Computer Science, Business Analytics, or a related field.
  • 3+ years of experience in data analytics, AI, or cloud-based data engineering, with at least 2 years in a consulting role.
  • Hands-on experience with Microsoft Fabric, including Synapse Analytics, Data Factory, OneLake, and Power BI is ideal.
  • Strong proficiency in SQL, Python, or R for data manipulation and AI development.
  • Experience with Azure services (Data Lake, Azure ML, Cognitive Services, Databricks, or Power Automate).
  • Proven ability to design analytics solutions, optimize data pipelines, and drive business impact.
  • Excellent problem-solving, communication, and stakeholder management skills.

Additional Qualifications:
  • Microsoft Fabric or Azure certifications (e.g., Azure Data Engineer Associate, Azure AI Engineer).
  • Experience with AI-powered analytics
  • Knowledge of data governance, security best practices, and compliance regulations.

Apply