Aerospace and Defense, Amazon Web Services (AWS), Apache Kafka, Apache Spark, Application Programming Interface (API), Best Practices, Cloud Computing, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Science, Data Sets, Database Extract Transform and Load (ETL), GCP (Good Clinical Practices), Information/Data Security (InfoSec), Large-Scale Systems, Logistics, Microsoft Windows Azure, NoSQL, Operational Audit, Performance Tuning/Optimization, Process Modeling, SQL Databases, Scalable System Development, Structured Data, Supply Chain, Team Player, Telemetry, Top Secret Clearance, Unstructured Data
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.