Senior Data Engineer – Enterprise Pipelines & AI (Remote)

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

Benefits offered by this job

Health care and wellness plans

Paid holidays, sick time, and vacation

401(k) Plan with company matching

Relocation assistance

Education assistance

Job summary

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

You will design ETL/ELT pipelines, implement data quality checks, and mentor junior engineers while promoting best practices in data engineering within a

Qualifications

• Bachelor's degree required in a STEM field.
• 8–10 years in data engineering or related field.
• Strong SQL and coding skills (Python/Java/Scala).
• Experience with cloud data platforms (AWS/Azure/GCP) and data pipelines.

Responsibilities

• Design, build, and maintain robust ETL/ELT pipelines across the enterprise.
• Collaborate with data scientists, software engineers, and stakeholders to meet data requirements.
• Architect storage solutions including data lakes and warehouses for analytics and reporting.
• Implement data quality checks, monitoring, and alerting for data pipelines.
• Lead improvements in pipeline performance, scalability, and cost efficiency.

Skills

SQL

Python/Java/Scala

Airflow/Spark/Kafka

Cloud platforms

Data modeling

Data warehousing

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related STEM field

Tools

Airflow

Spark

Kafka

Docker

Kubernetes

Job description

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

You will design ETL/ELT pipelines, implement data quality checks, and mentor junior engineers while promoting best practices in data engineering within a