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# Data Engineer / ETL Engineer - AGS 0527 SS#

- **Company:** Navitas, Inc.
- **Location:** Gilbert, AZ, United States
- **Salary:** $83,200.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Data Architecture, Data Governance, Data Integrity, Extract Transform Load (ETL), Distributed Data Store, NoSQL, SQL Databases, Data Streaming, Systems Integration, Unstructured Data, Google Cloud, Cloud Platform System, Data Ingestion, Apache Spark, Build Management, Data Lakes, Data Analytics, Apache Kafka, Operational Systems, Stream Processing, Data Pipelines
- **Published:** May 29, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a26b19fc265066a5

## About the Role

Do you have experience in Systems integration?, * 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

## Description

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


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