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Remote Azure Data Factory Jobs in Irvine, CA (NOW HIRING)

Corvel

Data Scientist II

Irvine, CA · On-site +1

Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred. Success ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Experience with platforms such as Azure, AWS, or similar ecosystems is strongly preferred. Success ... This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ...

ENow Software

Product Owner (Remote)

Irvine, CA · Remote

$140K - $150K/yr

Validate requirements through customer conversations, support data, and usage insights * Help ... Familiarity with Microsoft 365, Entra ID (Azure AD), Exchange, Teams, SharePoint, or Power Platform ...

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How much do remote azure data factory jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote azure data factory in Irvine, CA is $62.69, according to ZipRecruiter salary data. Most workers in this role earn between $56.78 and $70.43 per hour, depending on experience, location, and employer.

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 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 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 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 are the most commonly searched types of Azure Data Factory jobs in Irvine, CA?

The most popular types of Azure Data Factory jobs in Irvine, CA are:

What are popular job titles related to Remote Azure Data Factory jobs in Irvine, CA?

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

What job categories do people searching Remote Azure Data Factory jobs in Irvine, CA look for?

The top searched job categories for Remote Azure Data Factory jobs in Irvine, CA are:

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Cities near Irvine, CA with the most Remote Azure Data Factory job openings:

Remote Azure Data Factory jobs near you

Data Architect - Remote / Telecommute

CYNET SYSTEMS

Aliso Viejo, CA • Remote

$45 - $50/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Posted 11 days ago

Job description

Job Overview:

Pay Range: $45.00hr - $50.00hr

Requirement/Must Have:

  • 8+ years of experience in data architecture, data engineering, or enterprise database design.
  • Expert-level proficiency in Microsoft SQL Server including schema design, T-SQL, performance tuning, and high availability.
  • Demonstrated experience designing data warehouses and data marts using star/snowflake schemas and Kimball methodology.
  • Hands-on experience with Microsoft BI stack including SSRS, SSAS, SSIS, and Power BI.
  • Strong understanding of ETL/ELT design patterns and data pipeline architecture.
  • Experience with data governance, data cataloging, and metadata management.
  • Proficiency in data modeling tools such as Erwin, ER/Studio, or SQL Server Data Tools.
  • Strong verbal and written communication skills.
  • Ability to present architecture decisions to both technical and non-technical audiences.
  • Experience in healthcare data environments including claims processing, 835/834 EDI, eligibility, and enrollment.
  • Familiarity with Azure data services including Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake.
  • Experience with HIPAA compliance and handling of PHI/PII data.

Responsibilities:

  • Lead the end-to-end design of enterprise data models, including conceptual, logical, and physical data models across OLTP and OLAP environments.
  • Define and enforce data standards, integration patterns, and interoperability strategies across multiple source systems, databases, and platforms.
  • Architect and oversee the design of data warehouses, data marts, and reporting layers that power BI dashboards, operational reports, and executive analytics.
  • Establish and champion data governance policies, data dictionaries, lineage documentation, and master data management strategies.
  • Guide and review ETL/ELT pipeline design and collaborate with developers on SSIS packages, stored procedures, and data transformation logic.
  • Conduct query and schema performance reviews and advise on indexing strategies, partitioning, and optimization for high-volume data environments.
  • Partner with application developers, business analysts, DBAs, and business stakeholders to translate business requirements into sound data architecture decisions.
  • Evaluate emerging data technologies and contribute to the organization’s data platform roadmap, including cloud migration strategies.
  • Maintain authoritative architecture documentation, ERDs, data flow diagrams, and standards guides.
  • Provide technical leadership and mentorship to database developers and analysts.

Nice to Have:

  • Experience with Azure SQL Database.
  • Experience with Azure Data Factory (ADF).
  • Experience with Azure Synapse Analytics.
  • Experience with Azure Data Lake.
  • Experience with Cloud Data Migration & Modernization.

Skills:

  • Data Architecture.
  • Enterprise Data Modeling.
  • Data Strategy & Governance.
  • Microsoft SQL Server.
  • T-SQL.
  • Schema Design.
  • Performance Tuning.
  • High Availability (HA/DR).
  • Data Warehousing.
  • Star Schema.
  • Snowflake Schema.
  • Kimball Methodology.
  • ETL/ELT Architecture.
  • Data Pipelines.
  • Microsoft BI Stack.
  • SSIS.
  • SSRS.
  • SSAS.
  • Power BI.
  • SQL Query Optimization.
  • Indexing.
  • Partitioning.
  • Metadata Management.
  • Data Cataloging.
  • Master Data Management (MDM).
  • Enterprise Integration Patterns.
  • EDI Integration.
  • Erwin.
  • ER/Studio.
  • SQL Server Data Tools.
  • Architecture Documentation.
  • ERDs.
  • Data Flow Diagrams.

Qualification And Education:

  • 8+ years Data Architecture and Enterprise Data Modeling experience.
  • 8+ years Microsoft SQL Server and T-SQL experience.
  • 5+ years Data Warehousing and Kimball Methodology experience.
  • 5+ years ETL/ELT Architecture experience.
  • 5+ years Microsoft BI Stack experience.
  • 4+ years Data Governance and MDM experience.
  • 3+ years Healthcare Domain experience including Claims and EDI.

Benefits:

Our Benefits Include:

  • Medical, Dental, and Vision Insurance
  • 401(k) Retirement Plan
  • Health Savings Account (HSA)
  • Disability Insurance (Short-Term and Long-Term)
  • Life and AD&D Insurance
  • Paid Sick Leave (where required by applicable state or local law)
  • Supplemental Insurance Plans
  • Identity Theft Protection
  • Pet Insurance
  • Employee Wellness Programs
  • Employee Assistance Program (EAP)
  • Career Growth and Professional Development Opportunities

Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws.


About Cynet Systems


Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia.

As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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