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Data Engineer (Spark/Databricks | Data Visualization | Netezza/IBM DataStage)

Conquest Tech Solutions IncUnited States🇺🇸United StatesPosted Sep 16, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to modernize data environments and build production-grade data assets, fostering significant career growth within a reputable tech company. You'll thrive here if you're a seasoned data engineer with strong SQL and ETL skills, eager to leverage your expertise in Spark, Databricks, and data visualization to drive enterprise analytics and AI initiatives. Apply today to join a dynamic team and make a real impact!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
United States
Posted
23 hours ago
SQLETLDatabricks

Job Description

Sr. Data Engineer Remote Independent candidates on 1099/W2

supporting data platforms with a data science & insights department.

The Senior Data Engineer plays a foundational role in modernizing legacy data environments and delivering governed, production-grade data assets for enterprise analytics and AI enablement.
Required Skills & Experience

  • 10+ years of Data Engineering experience
  • Experience writing complex SQL statements to extract and analyze data
  • Experience with SAP Datasphere, SAP BW or SAP ECC
  • 2 years of experience with ETL tools for semantic modeling, lift & shift, etc.
  • Ability to interface with stakeholders

Plusses:

  • Spark or Databricks experience
  • Experience with any data visualization tool
  • NETEZZA or IBM DataStage experience

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