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Azure Data Factory Jobs in California (NOW HIRING)

Hyundai MOBIS

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $150K/yr

Azure Data Factory (ADF) * Azure Data Lake Storage (ADLS) * Azure SQL Database / Azure PostgreSQL * Azure ExpressRoute * Gateway Servers * Monitoring & Logging Solutions * Configure networking ...

2T Consulting

Senior ETL Developer

Redding, CA · On-site

We are seeking an experienced ETL Developer with strong expertise in SQL Server, SSIS, Azure Data Factory, data warehousing, data modeling, and BI reporting. The role will focus on developing and ...

2T Consulting

Senior ETL Developer

Redding, CA · On-site

We are seeking an experienced ETL Developer with strong expertise in SQL Server, SSIS, Azure Data Factory, data warehousing, data modeling, and BI reporting. The role will focus on developing and ...

BakerHostetler

Data Solutions Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Hyundai MOBIS

Data Engineer III, Cloud

Fountain Valley, CA · On-site

$125K - $151K/yr

Azure Data Factory (ADF) * Azure Data Lake Storage (ADLS) * Azure SQL Database / Azure PostgreSQL * Azure ExpressRoute * Gateway Servers * Monitoring & Logging Solutions * Configure networking ...

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Palo Alto, CA · On-site

$134K - $161K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

Goodwill

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Hands-on experience designing or maintaining data pipelines in Azure Data Factory (or a comparable ETL/ELT tool). * Experience working with Azure SQL or other Microsoft SQL Server environments.

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How much do azure data factory jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for azure data factory in California is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $64.76 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

Is Azure Data Factory being phased out?

Azure Data Factory remains a core cloud data integration service within Microsoft Azure and is actively supported and developed. There are no indications that it will be phased out in the near future, and it continues to be widely used by data engineers and analysts for building data pipelines and workflows. Staying updated with Azure's product roadmap and certifications can help ensure skills remain relevant.

Is Azure Data Factory in demand?

Azure Data Factory is a widely used cloud-based data integration service, and professionals skilled in it are in high demand due to the increasing adoption of cloud data solutions. Knowledge of data pipelines, ETL processes, and related tools like Azure Synapse Analytics can enhance job prospects in data engineering and analytics roles.

What can you do with Azure Data Factory?

Azure Data Factory is a cloud-based data integration service that allows data engineers and analysts to create, schedule, and manage data pipelines for moving and transforming data across various sources and destinations. It supports data ingestion, data transformation using mapping and data flow activities, and orchestration of complex workflows, often integrating with other Azure services. Proficiency in data pipeline design, ETL processes, and familiarity with Azure environments are essential for roles involving Azure Data Factory.

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 Azure Data Factory jobs in California?

For Azure Data Factory jobs in California, the most frequently searched job titles are:

What job categories do people searching Azure Data Factory jobs in California look for?

The top searched job categories for Azure Data Factory jobs in California are:

What cities in California are hiring for Azure Data Factory jobs?

Cities in California with the most Azure Data Factory job openings:

Azure Data Factory jobs near you
Infographic showing various Azure Data Factory job openings in California as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $119,886 per year, or $57.6 per hour.

Senior Big Data Developer

360 IT Professionals

Santa Clara, CA

Full-time

Re-posted 8 days ago

Job description

Company Description

We are focused on imparting effective business staffing services through high-level cost effective solutions. We have a strong foundation built on the legacy and emerging technologies, including an excellent track record of on-time delivery. We are leaders in providing additional custom IT Services with a proficient approach towards development of emerging mobile-based applications and web based application development. We are emerging as one of the largest private talent sourcing and management firms in the US.

Our client-  one of the leading ICT for development - ICT4D - organization, providing low-cost solutions using ICT to tackle poverty and to overcome disadvantage, working closely with local communities seeks an accomplished IT Security Leader.

Job Description

Job role                                               Senior Big Data Developer

Job Location:                                      Deerfield, IL 60015

Project Duration:                               Long-term and Fulltime

VISA:                                                  H1B Transfer, Citizen, GC.

Salary:                              Base Salary + Relocation expenses + Benefits  

 

Description:

 

Primary Responsibilities:

  • Work on tasks assigned by Technical Architects related to a proof-of-concept in the area of big data.
  • Many activities will involve implementation of a series of use cases for a given technology stack which includes: HDInsight, Azure Event Hub (or Kafka), Azure Data Factory (or Talend), HBASE, Hive, Pig, Sqoop and Flume.
  • Recommend, design and code efficient and effective solutions for challenging problems for large work efforts of medium to high complexity.
  • Collaborate with architects and developers and present alternative approaches to complex problems.
  • Document techniques/approaches, process flow diagrams and data models as required.

Required Skills:

  • Overall 5+ years of experience with at least 2+ years with big data.
  • 3+ years with Java, J2EE & databases like Oracle and/or SQL Server
  • 2+ years of experience in developing systems/applications with: Hadoop ecosystem including Hadoop (Hortonworks or Cloudera), Map Reduce Pig, Hive, Sqoop and Flume.
  • 1+ years of experience with Spark, Spark Streaming or Storm and Kafka.
  • Experience with any ETL tool.
  • Experience with troubleshooting performance issues, SQL tuning etc.
  • Experience with shell scripting using Unix, PERL or Python
  • Experience with NoSQL database technologies such as Cassandra or HBASE

Candidates preferred with experience in following platforms and technologies:

  • Microsoft Azure
  • Azure HDInsight or Hortonworks
  • Azure Data Factory or Talend
  • Azure Event Hub or Apache Kafka
  • Cassandra and HBASE.
Additional Information

All your information will be kept confidential according to EEO guidelines.

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