Data Integration Engineer Jobs in California
Data Integration Engineer jobs in California are among the most active in the country, concentrated in enterprise technology, financial services, healthcare systems, and streaming media across a seniority range from junior ETL developers through principal architects. The largest hiring metros are the San Francisco Bay Area, Los Angeles, and San Diego, where established employers such as Salesforce, Kaiser Permanente, and Qualcomm maintain significant data engineering teams. The most in-demand specialties include cloud-based pipeline development, real-time data streaming, and data warehouse modernization on platforms like Snowflake and Databricks. Find a role that fits below and apply directly.
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Summary of Position:
The Data Integration Analyst is responsible for gathering and documenting business and technical requirements, performing data analysis, and mapping client data into InfoIMAGE products. You will ensure accuracy, consistency, and alignment of client data integrations while supporting seamless onboarding and solution delivery.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Requirements Gathering & Analysis
- Elicit, analyze, and document business and functional requirements from internal and external stakeholders. – Gather job specifications, business rules, and technical deliverables through direct client interfacing to support integration activities.
- Ensure clear, consistent, and comprehensive requirements and documentation that supports development and QA efforts.
Manage overall technical analysis for client application setups and customizations.
- Perform data analysis, review files, and map fields between client data sources, document templates, and Statements of Work.
- Translate client data requirements into integration specifications, including field mappings, preliminary mock-ups, transformation rules, and validation criteria.
- Other duties as assigned.
Cross-Functional Collaboration
- Work with Sales and Account Management during pre-sales or early contract phases to define project scope and assess feasibility for preliminary analysis
- Initiate and facilitate feasibility meetings; review and document assessments with internal departments for prospective and/or existing clients.
Collaborate with Implementation Specialists to support and deliver new client projects, configurations and applications.
Coordinate closely with Product, Development, QA, and Operations teams to ensure accurate data ingestion and integration that aligns with client specifications.
- Assist in user acceptance testing (UAT) and validation of features and solutions.
- Other duties as assigned
Documentation
- Document and maintain resources related to data integration, including client system listings, data formats, mapping specifications, and templates.
- Contribute to continuous improvement of integration and documentation standards.
- Identify and document edge cases, risks, and technical dependencies.
- Other duties as assigned.
QUALIFICATION REQUIREMENTS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Knowledge, Experience and Skill Requirements:
Education:
✓Bachelor’s Degree required (Information Systems or computer science related fields)
Experience and Skills:
✓ 3+ years of experience in an implementation, technical analyst, or similar role in SaaS, enterprise software, or technology services.
✓ 3+ years of experience in a regulated industry such as financial services or healthcare (strongly preferred).
✓ Basic understanding of consumer banking products and services (preferred).
✓ Strong knowledge of Unix/Linux, RDBMS, and SFTP.
✓ Strong analytical skills for data inspection, cleansing, transformation, and modeling.
✓ Experience gathering requirements and translating into technical specifications.
✓ Experience with web-based application implementations (B2B and B2C).
✓ Ability to work cross-functionally with: Implementation, QA, Sales, Operations, Development, and Product.
✓ Understanding of implementation processes and Software Development Life Cycle (SDLC).
✓ Proficiency with documentation and tracking tools such as Confluence, Jira, and Microsoft Office Suite.
✓ Experience working within Agile or Scrum teams.
Physical Requirements:
✓ Multi-limb and eye-hand coordination
✓ Able to stand, bend, reach, stoop and lift boxes up to 10 lbs.
✓ Fast pace / multi-tasking with organization and efficiency
✓ Able to sit at a desk, working on a computer for extended periods.
✓ Able to communicate effectively in a collaborative, cross-functional environment.
✓ Able to manage multiple tasks and shifting priorities in a fast-paced setting.
See All 15 Data Integration Engineer Jobs in California
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Find JobsData Integration Engineer Jobs by City in California
Where California roles are concentrated, by current openings.
Data Integration Engineer Job Market in California
A snapshot from current California openings, updated as new roles post.
Who's Hiring



What California Employers Look For
The qualifications that appear most often in data integration engineer jobs across California.
- Bachelor's degree in computer science, information systems, or a related technical field
- Hands-on experience with ETL tools such as Informatica, Talend, or Apache Spark
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience designing and maintaining data pipelines on AWS, Azure, or Google Cloud Platform
- Familiarity with data warehousing platforms including Snowflake, BigQuery, or Redshift
- Strong understanding of data modeling concepts and integration architecture patterns
Data Integration Engineer Jobs in California: Frequently Asked Questions
How do you become a data integration engineer in California?
Most data integration engineers in California enter the field with a bachelor's degree in computer science, information systems, or a closely related discipline. There is no state-issued license required to work in this role in California. Employers across the Bay Area, Los Angeles, and San Diego typically look for hands-on experience with ETL tools, cloud platforms, and SQL, often gained through academic projects, bootcamps, or related roles such as data analyst or software developer.
Which companies hire data integration engineers in California?
Employers hiring data integration engineers in California right now include Tesla, BD, and MANTECH, based on current listings on Migrate Mate as of November 2026. California's concentration of enterprise software companies, large health systems, and financial institutions means demand is spread across multiple industries rather than a single sector.
Which California cities have the most data integration engineer jobs?
Palo Alto, Redlands, and San Diego have the most data integration engineer openings in California. The San Francisco Bay Area leads because of its dense concentration of enterprise technology companies and cloud platform headquarters, while Los Angeles draws demand from media, entertainment, and financial services firms, and San Diego's biotech and defense sectors generate steady pipeline engineering needs.
Are there remote data integration engineer jobs in California?
Yes, and more than most technical fields, since data integration work is largely performed on cloud platforms and remote-accessible systems. About 33% of data integration engineer openings tied to California are remote or hybrid as of November 2026, reflecting how well the role translates to distributed teams. Pipeline development, data modeling, and cloud migration tasks are the most commonly performed fully remotely.
How can I get hired as a data integration engineer in California with little or no experience?
The most realistic entry path is moving laterally from a data analyst or business intelligence role, where SQL skills and familiarity with reporting pipelines transfer directly. Large California employers such as Kaiser Permanente and Salesforce run associate data engineering and rotational technology programs that accept candidates without dedicated integration experience. Building a portfolio of ETL or pipeline projects using open datasets and cloud free tiers strengthens applications considerably, as does earning a cloud associate credential from AWS or Google.
Where can I find and apply to data integration engineer jobs in California?
You can find and apply to data integration engineer jobs in California on Migrate Mate, which lists current California openings updated regularly. Search the listings to find roles that match your experience, location preference, and target industry, then apply directly to the ones that fit.
See All 15 Data Integration Engineer Jobs in California
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