Senior Data Engineer – Enterprise Data Pipelines & AI

The Aerospace Corporation; El Segundo (CA); On-site; USD 120,000 - 228,000; Full time

Benefits offered by this job

Comprehensive health care

Paid holidays and vacation

401(k) Plan with company match

Relocation assistance

Education assistance

Telework options

Job summary

The Aerospace Corporation is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure across the enterprise. You will collaborate with data scientists, software engineers, and mission teams to ensure high-quality data supports advanced analytics and AI/ML initiatives.

Responsibilities include building robust ETL/ELT pipelines, optimizing storage solutions, implementing data quality checks, and mentoring junior engineers.

Qualifications

• 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)
• 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; U.S. citizenship is required

Responsibilities

• Design, build, and maintain robust, scalable ETL/ELT pipelines across diverse sources
• Partner with data scientists, software engineers, and stakeholders to deliver reliable data solutions
• Architect and optimize data storage including relational databases, data lakes, and data warehouses
• Implement data quality checks, monitoring, and alerting for data integrity
• Lead efforts to improve pipeline performance, scalability, and cost-efficiency
• Mentor junior data engineers and promote best practices in data engineering
• Collaborate to integrate new data sources and technologies for an improved data platform

Skills

SQL

Python/Java/Scala

Airflow/Spark/Kafka

Cloud platforms (AWS/Azure/GCP)

Data modeling & data warehousing

Security clearance

US citizenship

Travel 10%

Education

Bachelor’s degree in Computer Science/Data Engineering/Info Systems

Tools

Docker

Kubernetes

Terraform

Apache Airflow

Spark

Job description

The Aerospace Corporation is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure across the enterprise. You will collaborate with data scientists, software engineers, and mission teams to ensure high-quality data supports advanced analytics and AI/ML initiatives.

Responsibilities include building robust ETL/ELT pipelines, optimizing storage solutions, implementing data quality checks, and mentoring junior engineers.