Senior Data Engineer – Onsite, AI & Analytics

ZipStaff Inc.

St. Louis (MO)

Vor Ort

USD 120.000 - 170.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Health Insurance
Dental Insurance
Vision Insurance
401(k) + 401(k) matching
Paid time off

Zusammenfassung

ZipStaff Inc. is seeking a Senior Data Engineer to support data analysis, reporting, modeling, and insights for a major energy and utility client. This on-site role in St.

Louis, MO focuses on designing systems to consolidate structured and unstructured data, building reports, dashboards, and AI-aligned data solutions. You will work with data analysts and engineers to optimize pipelines, explore correlations, and deliver measurable value through actionable analytics and data-driven decision

Qualifikationen

  • 5+ years experience as a Data Engineer or similar role.
  • Experience generating reports and datasets from databases/data warehouses.
  • Experience consolidating and analyzing structured and unstructured data.

Aufgaben

  • Generate reports and datasets for end users using database/warehouse queries.
  • Design and build processes to consolidate and analyze diverse data sources.
  • Analyze data to provide insights for decision makers.
  • Integrate data from multiple sources to produce required data elements.
  • Program and maintain dashboards and information portals for end users.
  • Apply advanced mathematical concepts to identify trends.

Kenntnisse

Data pipelines
Data modeling
SQL / data warehousing
Unstructured data
Machine learning
Data visualization
Collaboration

Jobbeschreibung

ZipStaff Inc. is seeking a Senior Data Engineer to support data analysis, reporting, modeling, and insights for a major energy and utility client. This on-site role in St.

Louis, MO focuses on designing systems to consolidate structured and unstructured data, building reports, dashboards, and AI-aligned data solutions. You will work with data analysts and engineers to optimize pipelines, explore correlations, and deliver measurable value through actionable analytics and data-driven decision

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