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Synapse Jobs in California (NOW HIRING)

Abbott

Senior Database Engineer II

San Diego, CA

$112K - $152K/yr

Azure Synapse) * Experienced in multiple Cloud PaaS persistence technologies, and in-depth knowledge of cloud based ETL offerings and orchestration technologies. * Experience with OLTP and OLAP.

Abbott

Senior Database Engineer II

San Diego, CA

$112K - $152K/yr

Azure Synapse) * Experienced in multiple Cloud PaaS persistence technologies, and in-depth knowledge of cloud based ETL offerings and orchestration technologies. * Experience with OLTP and OLAP.

Abbott

Senior Database Engineer II

San Diego, CA · On-site

$112K - $152K/yr

Azure Synapse) * Experienced in multiple Cloud PaaS persistence technologies, and in-depth knowledge of cloud based ETL offerings and orchestration technologies. * Experience with OLTP and OLAP.

Aveva

Data Engineer

San Leandro, CA · Hybrid

$89K - $148K/yr

Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services. * Build and support data integration and ETL/ELT processes to ingest, transform, and ...

AVEVA

Data Engineer

San Leandro, CA · On-site

$89K - $148K/yr

Design, develop, and maintain scalable data pipelines using Azure Synapse Analytics and related Azure services. * Build and support data integration and ETL/ELT processes to ingest, transform, and ...

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Showing results 21-40

All JobsSynapse JobsSynapse Jobs in California

Synapse information

See California salary details

$17.1K

$108.6K

$151.8K

How much do synapse jobs pay per year?

As of Aug 20, 2026, the average yearly pay for synapse in California is $108,592.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,089.00 and $135,623.00 per year, depending on experience, location, and employer.

What is a synapse?

A Synapse job typically refers to a role related to Microsoft Azure Synapse Analytics, a cloud-based big data and analytics service. Professionals in this role work with data integration, analysis, and processing, often using SQL, Spark, and AI tools. Responsibilities may include data warehousing, pipeline creation, performance optimization, and security management. These roles are common in industries requiring large-scale data analytics and business intelligence.

What are the key skills and qualifications needed to thrive as a synapse software engineer, and why are they important?

To excel as a Synapse Software Engineer, you need strong programming skills, experience with cloud data platforms (especially Azure Synapse Analytics), and a background in computer science or a related field. Familiarity with SQL, data integration tools, Azure Data Factory, and certifications like Microsoft Certified: Azure Data Engineer Associate are often required. Problem-solving, attention to detail, and effective communication are vital soft skills for collaborating on complex data projects. These competencies ensure efficient data solutions, robust analytics pipelines, and successful outcomes in fast-evolving enterprise environments.

What are some common challenges faced by synapse engineers when integrating new neural models into existing systems?

Synapse engineers often encounter challenges with compatibility and scalability when integrating new neural models into established systems. Balancing the need for high performance with resource constraints, such as memory and processing power, is a frequent obstacle. Additionally, ensuring seamless communication between different components and maintaining system stability during updates requires careful testing and collaboration with cross-functional teams. Staying current with evolving machine learning frameworks also presents an ongoing learning curve.

What is the difference between Synapse vs Data Analyst?

AspectSynapseData Analyst
CredentialsTypically requires knowledge of Azure Synapse, data engineering, and cloud platformsOften requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Data Analyst Associate are common
Work EnvironmentPrimarily cloud-based, involving data integration, warehousing, and big data processingUsually office-based, focusing on data interpretation, reporting, and visualization
Industry UsageUsed in data engineering, data warehousing, and big data projects within tech, finance, and healthcareCommon in business intelligence, marketing, finance, and consulting sectors

Synapse is a cloud-based data platform focusing on data integration and big data processing, while a Data Analyst primarily interprets data and creates reports. Both roles often collaborate but serve different functions within data management and analysis.

What are the most commonly searched types of Synapse jobs in California?

The most popular types of Synapse jobs in California are:

What are popular job titles related to Synapse jobs in California?

For Synapse jobs in California, the most frequently searched job titles are:

What job categories do people searching Synapse jobs in California look for?

The top searched job categories for Synapse jobs in California are:

What cities in California are hiring for Synapse jobs?

Cities in California with the most Synapse job openings:

Synapse jobs near you
Infographic showing various Synapse job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 2% Part Time, and 10% Contract. Highlights an 74% Physical, 8% Hybrid, and 18% Remote job distribution, with an average salary of $108,592 per year, or $52.2 per hour.

Informatica PowerCenter IDMC IICS Developer Migration Specialist

Doist

Pleasanton, CA • On-site

$120 - $150/hr

Other

Posted 2 days ago

New

Job description

Informatica PowerCenter & IDMC (IICS) Developer – Migration Specialist PLEASANTON, CA (Onsite) 13+ Years

Must Have Skills
  • Informatica PowerCenter
  • Informatica IDMC (IICS)
  • Cloud Data Integration (CDI)
  • ETL Development
  • PowerCenter to IDMC Migration
  • Mappings, Workflows & Taskflows
  • SQL
  • Oracle
  • SQL Server
  • Performance Tuning
  • Data Validation & Testing (SIT/UAT)
  • ETL Troubleshooting
  • Deployment & Production Support
Nice-to-Have
  • Azure Data Factory
  • Databricks
  • Azure Synapse
  • Python
  • PySpark
  • Agile/Scrum
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