Data Engineer / ETL Engineer - AGS 0527 SS#

Navitas, Inc.
Gilbert, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 83K

Job location

Gilbert, United States of America

Tech stack

API
Amazon Web Services (AWS)
Azure
Big Data
Data Architecture
Data Governance
Data Integrity
ETL
Distributed Data Store
NoSQL
SQL Databases
Data Streaming
Systems Integration
Unstructured Data
Google Cloud Platform
Cloud Platform System
Data Ingestion
Spark
Build Management
Data Lake
Data Analytics
Kafka
Operational Systems
Stream Processing
Data Pipelines

Job 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

Requirements

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

Benefits & conditions

From $40 an hour - Full-time, Contract

Apply for this position