Senior Data Engineer: Semantic Models & Pipelines

Matrix Global Services Limited

Kansas City (KS)

On-site

USD 120,000 - 160,000

Full time

11 days ago
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Job summary

Matrix is seeking a Senior Data Engineer to design and optimize enterprise data pipelines, semantic models, and BI solutions. You will balance production support with data architecture and mentoring.

You will collaborate with cross‑functional teams to deliver scalable analytics, ensure data governance, and drive modernization of data architecture across reporting platforms. This role offers opportunities to influence data strategy within a global technology services company.

Qualifications

  • Bachelor's degree or higher in CS/IS/Engineering or related field.
  • 8+ years in data engineering, ETL, warehousing, analytics.
  • Advanced SQL development, query optimization, performance tuning.
  • Hands-on experience with semantic modeling and BI platforms.
  • Experience with enterprise data integration platforms and production support.
  • Strong communication across tech and business teams.

Responsibilities

  • Monitor, support, and enhance enterprise data pipelines for accuracy and availability.
  • Design, develop, and optimize ETL/ELT processes and workflows.
  • Troubleshoot data quality issues, performance bottlenecks, and incidents.
  • Design schemas, tables, and structures to maximize reporting performance.
  • Develop and maintain enterprise semantic/analytical data models.
  • Collaborate with teams to ensure governance, lineage, and metadata.
  • Mentor junior engineers and promote engineering best practices.

Skills

SQL development
ETL/ELT development
Semantic modeling
Data warehousing
Stakeholder collaboration
Mentorship
Data governance
Problem-solving

Education

Bachelor's degree in Computer Science or related field

Tools

SQL Server
ETL tools
Data modeling tools
Cloud platforms (AWS/Azure)

Job description

Matrix is seeking a Senior Data Engineer to design and optimize enterprise data pipelines, semantic models, and BI solutions. You will balance production support with data architecture and mentoring.

You will collaborate with cross‑functional teams to deliver scalable analytics, ensure data governance, and drive modernization of data architecture across reporting platforms. This role offers opportunities to influence data strategy within a global technology services company.

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