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Remote Azure Data Factory Jobs in California (NOW HIRING)

NextSense

Data Infrastructure Software Engineer

Mountain View, CA · On-site +1

$136K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Experience in Building Micro services & Cloud Platforms on AWS, Azure etc * Experience with open ... Preferred: San Francisco Bay area (open to discussing remote geographic areas) Employment ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... solutions (AWS, Azure) * 5+ years of experience with big data technologies (Spark, Hadoop ...

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... solutions (AWS, Azure) * 5+ years of experience with big data technologies (Spark, Hadoop ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · On-site +1

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Integrate BigID with databases, data lakes, cloud platforms (AWS, Azure, GCP), and SaaS ...

WaveStrong, Inc.

Remote BigID SME

Los Angeles, CA · Remote

$63 - $86/hr

Exciting Remote BigID SME contract opportunity. Requirements We're looking for a BigID SME ... Integrate BigID with databases, data lakes, cloud platforms (AWS, Azure, GCP), and SaaS ...

Insight M

General Opportunity

Sunnyvale, CA · Remote

We use Data Factory for data integration/transformation. In terms of DevOps, we do infrastructure ... remote positions in perpetuity. (We love it when kids make a cameo in a video call.) Insight M is ...

Vibrant Planet

Data Engineer

Truckee, CA · Remote

$200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

This is a remote role, so working comfortably and effectively in a distributed team is crucial. KEY ... Cloud platforms (AWS, GCP, or Azure), including services for storage, compute, and networking.

Walmart

Staff, Data Scientist (Pricing)

Sunnyvale, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a full-time onsite role based in Bentonville, AR or Sunnyvale, CA; remote and hybrid ... Experience with Spark, Feature Stores, and distributed training in a cloud environment (GCP/Azure)

Autodesk

Senior Manager, Data Security

San Francisco, CA · On-site +1

$134K - $185K/yr

This role is remote-friendly within North America. For those who prefer in-office or hybrid work ... Build and maintain cloud data security controls across AWS, Azure, and GCP, including storage ...

HumanSignal

Strategic Projects Lead

San Francisco, CA · Remote

$75K - $110K/yr

Advanced ML and AI teams use our enterprise platform to run their own data factories, and our ... and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol ...

GDIT

AI Data Scientist

Los Angeles, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with vector stores (Pinecone, Chroma, Weaviate, Azure Cognitive Search), LLM model ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Axos Bank

Enterprise Data Engineering Manager, FVP

San Diego, CA · On-site +1

$145K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Remote or Hybrid is not available. Responsibilities: * Head the development and delivery of ... GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake ...

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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 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 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
Infographic showing various Remote Azure Data Factory job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Infrastructure Software Engineer

NextSense

Mountain View, CA • On-site, Remote

$136K - $163K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago

Job description

Company Description
About NextSense:
NextSense's vision is to be the foundation of brain health and establish a new paradigm in neurocare. Powered by a disruptive brain-sensing earbud technology and digital ecosystem, our mission is to establish new ways of diagnosing and optimizing therapy for diverse neurological conditions. We hope to unlock brain health for everyone with real world data insights and practical, scientific wisdom for daily living.
Job Description
NextSense is a cloud based engineering organization with all of our data infrastructure in Google Cloud (GCP) leveraging BigQuery, Compute Engine and Kubernetes. This is a great opportunity to come in and help us redesign or rework our existing data infrastructure.
Responsibilities:
  • Understand the data needs of different engineering teams at NextSense, including HWE, Clinical and Research
  • Understand end to end data interactions and dependencies across our existing data pipelines and data transformation and how they impact business decisions.
  • Design best practices for big data processing, data modeling and warehouse development for NextSense.
  • Build integration and automation across different systems to scale data operations and increase efficiency.

Qualifications
  • 3+ years in building a data warehouse and data pipelines. Or, 5+ years in data intensive engineering roles.
  • Solid understanding of databases (relational, key/value, document, columnar, olap, graph)
  • Strong SWE principles and OO experience
  • Experience with GCP, Kubernetes
  • Experience building and running in production (24x7 environments) distributed large-scale systems
  • Experience in working on Cloud Distributed Storage/Databases and/or data technologies that power analytics (e.g., Pinot, Druid, Redshift, Hadoop, Spark, Presto, Kafka, Flink, etc. or similar technologies)
  • Experience in Building Micro services & Cloud Platforms on AWS, Azure etc
  • Experience with open source project management and governance
  • Hands on experience developing distributed systems, databases, or other large scale data systems.

Additional Information
Benefits:
Our careers benefits include but are not limited to the following:
  • Flexible/hybrid work schedule (built-in work from home days)
  • Equity
  • Retirement savings (no employer matching at this stage)
  • Healthcare Flexible Spending Account (FSA)
  • Medical, dental, vision, and life insurance
  • Wellness-bundle, commuter benefits
  • Paid vacation, holidays, parental leave

Location:
Preferred: San Francisco Bay area (open to discussing remote geographic areas)
Employment Eligibility:
At this time NextSense is only considering candidates for this role who are eligible to legally work in the US without any Visa sponsor/transfer requirements now or in the future. Eligible candidates who can work on a TN Visa from Mexico or Canada will be considered.

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