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Senior Data Integration Developer Jobs in Fullerton, CA

Lobel Financial Corporation

Be Seen First

Sr. Data Engineer, Mircosoft Fabric

Anaheim, CA · On-site

$110K - $170K/yr

Job Summary We are seeking a Senior Data Engineer with hands-on Microsoft Fabric experience to ... integration, and performance issues and optimize Microsoft Fabric workloads and capacity ...

New

County of Los Angeles

SENIOR DATA SCIENTIST

Los Angeles, CA · Hybrid

$119K - $160K/yr

... integration, and retention requirements for large sets of structured and unstructured data from disparate sources; acts as a resource for senior data engineers and architects in the selection and ...

New

Ventura Foods

Principal Developer, Integration

Irvine, CA · On-site

$53.75 - $71.25/hr

The Principal Integration Developer - OIC & MuleSoft serves as a senior technical leader within the ... API management, message queuing/messaging, event-driven architectures, data transformation, ETL/ELT ...

Ventura Foods

Principal Developer, Integration

Irvine, CA · Hybrid

$53.75 - $71.25/hr

The Principal Integration Developer - OIC & MuleSoft serves as a senior technical leader within the ... API management, message queuing/messaging, event-driven architectures, data transformation, ETL/ELT ...

Hyundai Capital

Sr. Integration Engineer

Irvine, CA · Hybrid

$111K - $150K/yr

WHAT YOU WILL DO The Sr. Integration Engineer is a hands-on technical contributor responsible for ... Partner with data and engineering teams to ensure integration reliability and performance. WHAT YOU ...

Hyundai Capital America

Sr. Integration Engineer

Irvine, CA · On-site

$111K - $150K/yr

WHAT YOU WILL DO The Sr. Integration Engineer is a hands-on technical contributor responsible for ... Partner with data and engineering teams to ensure integration reliability and performance.

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Senior Data Integration Developer information

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How much do senior data integration developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for senior data integration developer in Fullerton, CA is $64.06, according to ZipRecruiter salary data. Most workers in this role earn between $55.91 and $71.20 per hour, depending on experience, location, and employer.

What is a senior data integration developer?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a senior data integration developer?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.

What are some common challenges senior data integration developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What cities near Fullerton, CA are hiring for Senior Data Integration Developer jobs?

Cities near Fullerton, CA with the most Senior Data Integration Developer job openings:

Senior Data Integration Developer jobs near you
Infographic showing various Senior Data Integration Developer job openings in Fullerton, CA as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,249 per year, or $64.1 per hour.

Sr. Data Engineer, Mircosoft Fabric

Lobel Financial

Anaheim, CA • On-site

$110K - $170K/yr

Full-time

Posted 3 days ago

New

Job description

We are seeking a Senior Data Engineer with hands-on Microsoft Fabric experience to design, build, migrate, and support enterprise data platforms. This role develops scalable ETL and ELT pipelines, implements Medallion Architecture in OneLake, Lakehouse, and Fabric Warehouse, and delivers reliable data for analytics and Power BI. The engineer partners with architects, application teams, analysts, BI developers, infrastructure teams, and business stakeholders to implement secure, governed, and high-performing data solutions.
Core Skills
• Microsoft Fabric architecture and engineering: Microsoft Fabric, Data Factory, Data Pipelines, Dataflows Gen2, OneLake, Lakehouse, Fabric Warehouse, Notebooks, and Medallion Architecture.
• Data pipeline development and programming: ETL/ELT, SQL, T-SQL, Python, PySpark, Spark, batch processing, incremental processing, change data capture (CDC), upsert/merge strategies, and metadata-driven frameworks.
• Data migration, warehousing, and modeling: legacy platform migration, source-to-target mapping, data profiling, cleansing, reconciliation, validation, dimensional modeling, star schemas, fact tables, dimension tables, and slowly changing dimensions.
Key Responsibilities
• Design, develop, test, deploy, and maintain scalable end-to-end data pipelines for batch, incremental, and near-real-time processing.
• Build data ingestion and transformation solutions using Microsoft Fabric Data Factory, Data Pipelines, Dataflows Gen2, Notebooks, SQL, Python, PySpark, Spark, and T-SQL.
• Develop reusable, metadata-driven ETL/ELT frameworks that support relational databases, APIs, files, SaaS applications, cloud platforms, and structured or semi-structured data.
• Implement CDC, incremental loads, upsert/merge patterns, historical processing, error handling, monitoring, and data-quality controls.
• Lead legacy-to-modern data migrations, including data profiling, source-to-target mapping, cleansing, transformation, reconciliation, validation, and cutover support.
• Design and implement Medallion Architecture using OneLake, Fabric Lakehouse, and Fabric Warehouse.
• Create enterprise data warehouse models using dimensional modeling, star schemas, fact tables, dimension tables, and slowly changing dimensions.
• Troubleshoot pipeline, data, integration, and performance issues and optimize Microsoft Fabric workloads and capacity utilization.
• Document data flows, mappings, standards, lineage, and operating procedures.
• Collaborate with technical and business stakeholders to deliver secure, governed, reliable, and scalable data solutions.
Required Qualifications
• 5+ years of professional experience in data engineering, data integration, data warehousing, business intelligence, or a related field.
• Hands-on experience implementing Microsoft Fabric in a production or enterprise environment.
• Experience with Microsoft Fabric Data Factory, Data Pipelines, Dataflows Gen2, OneLake, Lakehouse, Fabric Warehouse, and Notebooks.
• Experience designing and implementing Medallion Architecture and enterprise ETL/ELT solutions.
• Strong SQL and T-SQL development skills.
• Strong Python and/or PySpark experience for data engineering and transformation.
• Experience with Spark-based batch and incremental data processing.
• Experience with legacy-to-modern data migration, data profiling, source-to-target mapping, transformation, reconciliation, and validation.
• Strong knowledge of data warehousing and dimensional modeling, including star schemas, fact tables, dimension tables, and slowly changing dimensions.
• Experience with data quality, monitoring, error handling, troubleshooting, and performance optimization.
• Strong analytical, problem-solving, written communication, verbal communication, and documentation skills.
Preferred Qualifications
• Microsoft Certified: Fabric Data Engineer Associate or another relevant Microsoft certification.
• Experience with Power BI, semantic models, Direct Lake, DAX, and enterprise reporting.
• Experience with Delta Lake, Snowflake, SQL Server, Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, or Azure Databricks.
• Experience integrating APIs and REST services and working with JSON, XML, or other semi-structured data.
• Experience with streaming or near-real-time data integration.
• Experience with enterprise data governance, metadata management, data lineage, cataloging, and automated data-quality testing.
• Experience supporting large-scale modernization or data migration programs.
• Experience working in Agile or Scrum environments.
• Experience mentoring data engineers and establishing engineering standards.

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