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Remote Azure Data Factory Jobs in California (NOW HIRING)

York Risk Services

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Sedgwick

Data Engineer AI

Los Angeles, CA · On-site +1

$123K - $148K/yr

Manage complex, cross-platform data workflows using Airflow, Step Functions, or Azure Data Factory ... LI-TS1 #remote Sedgwickis an Equal Opportunity Employer and a Drug-Free Workplace. If you're ...

Bluelight Consulting

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

Bluelight Consulting

$134K - $161K/yr

Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse ... Remote

Telecare

Integration Manager - remote

Alameda, CA · On-site +1

$134K - $165K/yr

Experience with building data pipelines and ETL/ELT jobs in data integration platforms such as SAP Data Services, Talend, Azure Data Factory, or similar tools. * Strong SQL and relational database ...

Tanisha Systems, Inc.

Data Scientist

Santa Clara, CA · On-site +1

Data Scientist Salary - Market (DOE) REMOTE / Work From Home Full-Time / Direct-Hire As Data ... MLOps & CI/CD for ML - MLflow, GitHub Actions, or Azure DevOps pipelines to automate model ...

IT Labs

Senior DevOps Engineer

San Francisco, CA · Remote

$153K - $196K/yr

Container Apps, AKS, Azure Functions, Key Vault, Synapse, Data Factory, Azure Landing Zones ... Remote * US-based -- US citizenship is required * Contract or B2B arrangement Our values We are a ...

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All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in California

Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What are the most commonly searched types of Azure Data Factory jobs in California? The most popular types of Azure Data Factory jobs in California are:
What are popular job titles related to Remote Azure Data Factory jobs in California? For Remote Azure Data Factory jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in California look for? The top searched job categories for Remote Azure Data Factory jobs in California are:
What cities in California are hiring for Remote Azure Data Factory jobs? Cities in California with the most Remote Azure Data Factory job openings:
Remote Azure Data Factory 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 9 hours 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.

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