(JOB IS FILLED) Data Integration Engineer – Valencia, Ca 91355 (Not open to relocation)

DKKD Staffing; California; On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical, Dental, Vision Insurance

401(k) with Company Match

Vacation, Sick Days, Holidays

Job summary

The Data Integration Engineer is a senior contributor responsible for designing, developing, and supporting complex data solutions that enable reporting, analytics, and business operations. This role leads data engineering projects while mentoring other engineers and promoting engineering best practices across business stakeholders, software engineers, and data architects.

The ideal candidate has 5+ years in data/ software engineering, strong MS SQL with SSIS/SSRS, data modeling, ETL/ELT, and

Qualifications

• 5+ years of experience in Data Engineering, Software Engineering, Database Development, or related technical disciplines.
• Experience designing and implementing large-scale data integration solutions.
• Experience leading technical projects and systems implementations.
• Experience supporting production data environments and resolving operational issues.
• Expert knowledge of data integration tools/applications (e.g., Jitterbit, EDI translators, SSIS, SSRS, Mulesoft, DMT, etc.)
• Experience working directly with business stakeholders and cross-functional teams.
• Excellent written and verbal communication skills.

Responsibilities

• Delivery of complex data engineering solutions.
• Technical quality of assigned projects.
• Reliability and maintainability of supported platforms.
• Mentorship and development of junior engineers.

Job description

Job Title: Data Integration Engineer
Location: Valencia, CA 91355

Note: Client is not open to candidates who have to relocate. DKKD Staffing has staffed many candidates at this client, from interim CIO to helpdesk.
Work Schedule: 100% Onsite, Monday–Friday
Employment: Full-Time, Direct Hire
Salary: $120,000–$140,000 annually (DOE)

Work Authorization: U.S. Citizen or Permanent Resident/Green Card Holder

Experience: 5+ years

See 2 sets of screening questions below

POSITION SUMMARY

The Data Integration Engineer is responsible for designing, developing, and supporting complex data solutions that enable reporting, analytics, and business operations. This role serves as a senior technical contributor, leading the delivery of data engineering projects while mentoring other engineers and promoting engineering best practices. The Data Integration Engineer works closely with business stakeholders, software engineers, and data architects to build scalable, reliable, and maintainable data pipelines, integrations, and data platforms. The role focuses on solution design, technical execution, operational excellence, and continuous improvement rather than enterprise architecture ownership.

JOB REQUIREMENTS/ QUALIFICATIONS

• Bachelor’s degree in computer science, software engineering, information technology, or related field, or equivalent experience.
• 5+ years of experience in Data Engineering, Software Engineering, Database Development, or related technical disciplines.
• Experience designing and implementing large-scale data integration solutions.
• Experience leading technical projects and systems implementations.
• Experience supporting production data environments and resolving operational issues.
• Experience working directly with business stakeholders and cross-functional teams.
• Expert knowledge of data integration tools/applications (e.g., Jitterbit, EDI translators, SSIS, SSRS, Mulesoft, DMT, etc.)
• Preferred experience with integrations (HL7, FHIR, EDI) to enterprise environments including EMR/EHR systems
• Demonstrated ability to troubleshoot complex technical issues and implement effective solutions.
• Experience mentoring junior engineers and supporting team development.
• Excellent written and verbal communication skills.
• Strong interpersonal skills with the ability to collaborate effectively across teams.
• Ability to manage multiple priorities, anticipate risks, and drive projects to successful completion with limited oversight.

TECHNICAL REQUIREMENTS

• Advanced SQL development and performance tuning.
• Experience with Microsoft SQL Server, SSIS, and SSRS.
• Data modeling, warehousing, and dimensional modeling concepts.
• Experience with Azure SQL Database.
• Troubleshooting performance with SQL Profiler or XEvents.
• ETL/ELT architecture and implementation.
• Familiarity with Git and modern source control workflows.
• Distributed data processing concepts and technologies.
• Understanding of REST APIs, OAuth2, JSON, and XML
• Preferred enterprise analytics and business intelligence environments.
• Preferred knowledge in healthcare, logistics, or regulated-industry data environments.
• Preferred experience with Salesforce integration.
• Nice to have experience with Python.
• Nice to have experience with Apache Airflow.

ACCOUNTABILITIES

• Delivery of complex data engineering solutions.
• Technical quality of assigned projects.
• Reliability and maintainability of supported platforms.
• Mentorship and development of junior engineers.Data quality and operational excellence.
• Adherence to established architecture and development standards.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or related field, or equivalent experience.
• 5+ years of experience in Data Engineering, Software Engineering, Database Development, or related disciplines.
• Advanced SQL development, stored procedures, query optimization, and performance tuning.
• Hands-on experience with Microsoft SQL Server, SSIS, and SSRS.
• Experience with Azure SQL Database.
• Strong ETL/ELT architecture, design, development, and implementation experience.
• Experience designing and implementing large-scale enterprise data integration solutions.
• Knowledge of data modeling, data warehousing, and dimensional modeling.
• Experience troubleshooting SQL Server performance using SQL Profiler or Extended Events (XEvents).
• Understanding of REST APIs, OAuth2, JSON, and XML.
• Expertise with data integration tools such as Jitterbit, MuleSoft, EDI translators, SSIS, DMT, or similar platforms.
• Familiarity with Git and modern source control workflows.
• Understanding of distributed data processing concepts.
• Experience supporting production data environments and resolving complex technical issues.
• Experience leading technical projects and mentoring junior engineers.
• Strong communication, collaboration, troubleshooting, and problem-solving skills.

PREFERRED QUALIFICATIONS

• Healthcare data integration experience, including HL7, FHIR, and EDI.
• Experience integrating EMR/EHR systems with enterprise applications.
• Salesforce integration experience.
• Healthcare, logistics, or regulated industry experience.
• Enterprise analytics and business intelligence environments.
• Python development experience.
• Apache Airflow experience.

BENEFITS

• Medical, Dental, and Vision Insurance (eligible first day of employment)
• Flexible Spending Account
• Life and Disability Insurance
• 401(k) with Company Match
• Vacation, Sick Days, and Paid Holidays
• Education Assistance

Tagged as: Information Systems/ Technology