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# Senior Data Engineer (Enterprise Operations)

- **Company:** The Aerospace Corporation
- **Location:** Chantilly, VA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,300.0 - $228,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Software Quality, Information Systems, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Warehousing, Relational Databases, Database Design, Python (Programming Language), Cloud Services, Software Engineering, SQL Databases, Data Streaming, Data Processing, Data Storage Technologies, Apache Spark, Containerization, Data Lakes, Kubernetes, Information Technology, Data Analytics, Apache Kafka, Terraform, Stream Processing, Data Pipelines, Docker, Programming Languages
- **Published:** October 22, 2026
- **Apply:** https://aero.wd5.myworkdayjobs.com/External/job/Chantilly-VA/Senior-Data-Engineer--Enterprise-Operations-_R017012

## About the Role

* Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM field
 * 8-10 years of experience in data engineering, software engineering, or a related technical field
 * Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
 * Hands-on experience building and maintaining data pipelines using tools such as Apache Airflow, Spark, or Kafka
 * Experience with cloud data platforms (e.g., AWS, Azure, or GCP), including services for storage, compute, and data processing
 * Strong understanding of data modeling, data warehousing concepts, and database design principles
 * Willing to travel occasionally to work locations or customer sites domestically, approx. 10%
 * This position requires the ability to obtain and maintain a security clearance, which is issued by the U.S. government. U.S. citizenship is required to obtain a security clearance.

Minimum Requirements for Data Technical Lead Staff V

In addition to the above, the minimum requirements for the Senior Data Engineer (Data Technical Lead V) include:

 * A minimum of 10 or more years data engineering, software engineering, or a related technical field
 * Familiarity with streaming data architectures and real-time data processing, * Master's degree in Computer Science, Data Engineering, or a related STEM field
 * 15+ years of experience in data engineering, with prior experience in aerospace, defense, or government environments
 * Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) and Infrastructure-as-Code (e.g., Terraform)
 * Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)

## Description

We are looking for a Senior Data Engineer. This role will design, build, and optimize scalable data pipelines and infrastructure that enable reliable, timely, and secure access to data across the enterprise. This position offers the opportunity to work closely with data scientists, software engineers, and mission teams to ensure that high-quality data is available to support advanced analytics, AI/ML initiatives, and critical business operations.

What You'll Be Doing

 * Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse sources across the enterprise
 * Partner with data scientists, software engineers, and business stakeholders to understand data requirements and deliver reliable, high-quality data solutions
 * Architect and optimize data storage solutions, including relational databases, data lakes, and data warehouses, to support analytics and reporting needs
 * Implement data quality checks, monitoring, and alerting to ensure the accuracy, completeness, and timeliness of data across pipelines
 * Lead efforts to improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments
 * Mentor junior data engineers and promote best practices in data engineering, including code quality, testing, and documentation (Fosters Innovation, Leads Change)
 * Collaborate cross-functionally to support the integration of new data sources and emerging technologies, driving continuous improvement in the data platform (Operates Strategically)