Senior Data Scientist — Space Data Pipelines & AI

The Aerospace Corporation; Chantilly (VA); On-site; USD 135,000 - 228,000; Full time

Benefits offered by this job

Health care and wellness plans

Paid holidays, sick time, vacation

Telework options

401(k) plan with company match

Education assistance programs

Relocation assistance

Professional growth and development

Job summary

The Aerospace Corporation in Chantilly, VA is seeking a Senior Data Scientist IV to design, build, and optimize scalable data pipelines and infrastructure enabling secure access to data across the enterprise. You will work closely with data scientists, software engineers, and mission teams to ensure high-quality data supports AI/ML initiatives and critical business operations.

You will lead data engineering efforts across cloud and on‑premise environments, mentor junior engineers, ensure data

Qualifications

• Bachelor’s degree in a STEM field with 8–10 years in data engineering or related technical field.
• Strong SQL and programming (Python/ Java/ Scala) experience.
• Hands-on data pipelines with Airflow, Spark or Kafka; cloud platforms familiarity.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines across the enterprise.
• Partner with data scientists, engineers, and stakeholders to deliver reliable data solutions.
• Architect data storage (databases, data lakes, warehouses) for analytics and reporting.
• Implement data quality checks, monitoring, and alerting for data pipelines.
• Lead performance improvements, scalability, and cost-efficiency across cloud/on-prem environments.
• Mentor junior data engineers and promote best practices in data engineering.

Skills

SQL

Python/Java/Scala

Airflow

Spark

Kafka

Cloud platforms

Education

Bachelor's degree in Computer Science / Data Engineering / related STEM field

Tools

Apache Airflow

Apache Spark

Kafka

AWS

Azure

GCP

Job description

The Aerospace Corporation in Chantilly, VA is seeking a Senior Data Scientist IV to design, build, and optimize scalable data pipelines and infrastructure enabling secure access to data across the enterprise. You will work closely with data scientists, software engineers, and mission teams to ensure high-quality data supports AI/ML initiatives and critical business operations.

You will lead data engineering efforts across cloud and on‑premise environments, mentor junior engineers, ensure data