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.
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Required Experience:
IC
Job Title: Data Engineer / ETL EngineerLocation: Multiple locations across United States Job Type: Full-Time / ContractNote: We are looking for candidates who are eligible for Top Secret ClearancePosition OverviewWe are seeking a skilled Data Engineer / ETL Engineer to design and build robust data p...
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.