Senior Data Integration Engineer - Onsite Valencia, CA

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

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