Senior Platform & Data Engineer — AI & BI Specialist

Karsun Solutions

United States

Hybrid

USD 160,000 - 170,000

Full time

11 days ago
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Job summary

The Senior Administrator and Developer at Karsun Solutions works within the Data Platforms Team to modernize decision-making for a large-scale federal agency while providing BI operations and maintenance, ETL pipelines, and AI enhancements. This role bridges data engineering and mission strategy by delivering day-to-day BI operations, data services workflows, and AI-based enhancements.

The ideal candidate must define data platform architecture, modernize legacy BI systems, and analyze

Qualifications

  • Education: Bachelor’s degree in a technical field with 10+ years or Master’s with 7+ years.
  • Proficient in SQL, SAP Business Objects, SAP Data Services, Power BI, Tableau.
  • Databases: Oracle, MS SQL Server, PostgreSQL.
  • Programming: Java, Python, SQL, OO languages.
  • Must be able to obtain and maintain a Public Trust Clearance.

Responsibilities

  • Provide backup admin for SAP BO and SAP Data Services to maintain platform availability.
  • Diagnose data load failures and reporting anomalies in enterprise pipelines and data warehouses.
  • Monitor systems and perform health checks and troubleshooting.
  • Maintain Python automation scripts and ETL workflows.
  • Support dashboards in Power BI, Tableau, and SAP BO.

Skills

SQL
Java
Python
OO Programming

Education

Bachelor’s degree in technical field
Master’s degree in technical field

Tools

SAP Business Objects
SAP Data Services
Power BI
Tableau
Oracle
MS SQL Server
PostgreSQL

Job description

The Senior Administrator and Developer at Karsun Solutions works within the Data Platforms Team to modernize decision-making for a large-scale federal agency while providing BI operations and maintenance, ETL pipelines, and AI enhancements. This role bridges data engineering and mission strategy by delivering day-to-day BI operations, data services workflows, and AI-based enhancements.

The ideal candidate must define data platform architecture, modernize legacy BI systems, and analyze

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