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Remote Azure Data Factory Jobs in California (NOW HIRING)

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Azure DevOps Architect

Menlo Park, CA · Remote

$74.75 - $97.50/hr

Menlo Park, CA (Remote) Duration: 12 Months contract Mandatory Skills: - Azure Deployment Stacks - Enterprise-scale infrastructure lifecycle governance across hundreds of Azure subscriptions ...

ILink Systems Inc.

Azure DevOps Architect

Menlo Park, CA · Remote

$74.75 - $97.50/hr

Menlo Park, CA (Remote) Duration: 12 Months contract Mandatory Skills: - Azure Deployment Stacks - Enterprise-scale infrastructure lifecycle governance across hundreds of Azure subscriptions ...

New

QuickLaunch Analytics

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

You'llwork across Azure, Databricks, and Microsoft Fabric to implement scalable, production-ready ... Remote(USA)or hybrid (Santa Cruz County, CA) Compensation:The estimated base salary range for this ...

Veeam Software

C# Developer M365 Backup

San Jose, CA · Remote

$64.50 - $80/hr

Visual Studio or Rider * Azure DevOps, Git, Jenkins * Azure, Office 365, Amazon * Exchange ... Understanding of data structures and algorithms * Experience developing for a RDMS, e.g. Postgresql ...

Axos Bank

Data Product Manager

San Diego, CA · On-site +1

$120K - $140K/yr

Remote or Hybrid is not available. Key Responsibilities: * Own and manage the data engineering ... Hands-on familiarity with Databricks, dbt, Fivetran, Kafka, Census, Azure Data Services, SSIS, ...

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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

Azure Copilot Developer Lead

Falcon Smart IT (FalconSmartIT)

Foster City, CA • On-site, Remote

$64 - $79.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Title: Azure Copilot Developer Lead

Location: Fosters City, CA or Remote

Job Type: FTE



Job Description


:
Tagline- Agentic AI | Microsoft Azure AI services | Copilot Studio Premium | Power Platfo

r

  • m 2-3 years of Hands-on experience with Microsoft 365 Copilot, Copilot Studio, Azure OpenAI Services, and Power Platfor
  • m.7+ years of Strong expertise in Azure architecture, including Azure Functions, Logic Apps, API Management, and Identity Managemen
  • t.2-3 years of experience designing AI-powered enterprise solutions using LLMs, prompt orchestration, and conversational A
  • I.7+ years of expereince in Strong understanding of security, compliance, and governance in Microsoft ecosystem
  • s.2-3 years of experience in integrating Copilot solutions with enterprise applications and data source
  • s.Familiarity with Microsoft Power Platform (Power Apps, Power Automa
  • teWorking knowledge of Azure DevOps for CI/CD and backlog tracki
  • ngBasic understanding of Microsoft Teams and integration scenari
  • osExperience with APIs (REST/Graph API) and system integratio
  • nsExposure to data platforms like Azure SQL Database or Dataver
  • seKnowledge of security & compliance in Microsoft ecosyst

e

m Preferred Skill


  • s:
    Familiarity with AI governance, responsible AI, and prompt engineering best practi
  • cesExposure to Azure DevOps or GitHub for CI
  • /CDBackground supporting financial, IT, or operational syst
  • emsMicrosoft certifications (Power Platform, Azure, AI) a p

l

us Overv


iew
We are seeking an experienced Copilot Architect to design, architect, and implement Microsoft Copilot solutions across enterprise environments. The ideal candidate will have strong expertise in Microsoft 365, Azure, Power Platform, AI integrations, and enterprise architecture, with the ability to align Copilot capabilities to business goals and drive AI adoption securely and efficien



tly.
Key Responsibil

i

  • ties: Architect and design Microsoft Copilot solutions for enterprise productivity, automation, and collaboration use
  • cases.Define the technical roadmap for integrating Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, and Power Pla
  • tform.Collaborate with business stakeholders to identify opportunities where Copilot can improve workflows and business proc
  • esses.Lead the implementation of Copilot extensions, plugins, connectors, and custom AI cop
  • ilots.Ensure architecture complies with security, compliance, governance, and data privacy require
  • ments.Integrate Copilot solutions with Microsoft Teams, SharePoint, Outlook, Dynamics 365, and third-party sy
  • stems.Establish governance models, best practices, and reusable architecture patterns for Copilot ado
  • ption.Provide technical leadership to development teams and guide solution implement
  • ation.Evaluate emerging AI and Copilot capabilities and recommend adoption strat
  • egies.Support change management, adoption planning, and enterprise rollout initia
  • tives.Communication S
  • kills:Communicate effectively with internal and customer stakeh
  • oldersCommunication approach: verbal, emails and instant me
  • ssagesInterpersonal S
  • kills:Strong interpersonal skills to build and maintain productive relationships with team m
  • embersProvide constructive feedback during code reviews and be open to receiving feedback on your own
  • code.Problem-Solving and Analytical Thi
  • nking:Capability to troubleshoot and resolve issues effici
  • ently.Analytical m
  • indsetSuccessful deployment of secure, scalable Copilot solutions that improve product
  • ivity.Increased business adoption of AI-driven workflows and autom
  • ation.Strong governance and compliance adherence across Copilot implementa
  • tions.Delivery of reusable enterprise architecture frameworks for future AI initia


tives.

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