Data Engineer / ETL Engineer - AGS 0527 SS#


IT - AZ - Phoenix, AZ
Phoenix, Arizona
Locations: Phoenix, Chandler, Gilbert, Mesa, Tucson
Posted On: May 27, 2026
Last Day to Apply: June 30, 2026
Pay: From $40.00 per hour

Job Title: Data Engineer / ETL Engineer

Location: Multiple locations across United States
Job Type: Full-Time / Contract

Note: We are looking for candidates who are eligible for Top Secret Clearance

Position Overview

We are seeking a skilled Data Engineer / ETL Engineer to design and build robust data pipelines supporting large-scale, data-intensive environments. This role focuses on ingesting, transforming, and managing diverse datasets including telemetry, sensor feeds, maintenance systems, and logistics data.

The ideal candidate will play a critical role in ensuring data quality, accessibility, and scalability for downstream analytics and operational decision-making.

Key Responsibilities

  • Design and develop data ingestion pipelines for multiple data sources, including:
    • Telemetry data
    • Sensor feeds
    • Maintenance and operational systems
    • Logistics and supply chain data
  • Build and maintain ETL/ELT workflows for structured and unstructured data
  • Normalize, cleanse, and validate large datasets to ensure data integrity
  • Integrate data from various APIs and external systems
  • Optimize data pipelines for performance, scalability, and reliability
  • Work with data lakes and distributed data platforms
  • Collaborate with data scientists, analysts, and engineering teams
  • Implement best practices for data governance and security

Required Skills & Experience

  • Strong experience with Apache Spark for large-scale data processing
  • Hands-on experience with Apache Kafka or similar streaming platforms
  • Proficiency in SQL and NoSQL databases
  • Experience designing and working with data lakes
  • Experience with API integration and data ingestion frameworks
  • Strong understanding of ETL/ELT processes and data modelling
  • Ability to work with both structured and unstructured data

Preferred / Nice-to-Have

  • Experience with real-time data processing and streaming architectures
  • Exposure to sensor or telemetry data environments
  • Knowledge of cloud-based data platforms (AWS, Azure, GCP)
  • Familiarity with data governance, security, and compliance practices
  • Experience in aerospace, defence, or other regulated industries

Work Environment

  • Collaborative, cross-functional data and engineering teams
  • High-impact, data-driven programs
  • Opportunity to work with modern data architectures and large-scale systems

Summary

This role is ideal for a data-focused engineer passionate about building scalable data pipelines and enabling advanced analytics. You will be instrumental in transforming raw data into reliable, high-quality datasets that power critical insights and operations.

For more details reach at shubham.sharma@navitassols.com.

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