Senior Data Scientist

The Aerospace Corporation

. Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse enterprise sources .

Posted 10/23/2026full-timeUnited StatesSenior💰 $135,200 - $228,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable ETL/ELT pipelines, optimizing data architectures, and ensuring data quality across cloud and on-premise environments. Proficient in SQL and programming languages like Python, with hands-on experience in data engineering tools and cloud platforms.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentSQL ProficiencyData Engineering Tools (Apache Airflow, Spark, Kafka)Cloud Data Platforms (AWS, Azure, GCP)Data Modeling and Warehousing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonJavaScalaETL/ELT Pipeline DevelopmentData ModelingDatabase DesignData WarehousingData Quality ChecksPerformance Optimization

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

Apache AirflowSparkKafkaAWSAzureGCP

Industry Keywords

Data EngineeringData ScienceData AnalyticsMachine LearningSpace Systems Engineering

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse enterprise sources
Partner with data scientists, software engineers, and business stakeholders to understand data requirements and deliver reliable, high-quality data solutions
Architect and optimize relational databases, data lakes, and data warehouses for analytics and reporting
Implement data quality checks, monitoring, and alerting to ensure data accuracy, completeness, and timeliness
Improve pipeline performance, scalability, and cost-efficiency across cloud and on-premise environments
Mentor junior data engineers and promote best practices in code quality, testing, and documentation
Collaborate cross-functionally to integrate new data sources and emerging technologies and continuously improve the data platform

Requirements

What you’ll need

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 such as AWS, Azure, or GCP, including services for storage, compute, and data processing
Strong understanding of data modeling, data warehousing concepts, and database design principles
Willingness to travel occasionally to work locations or customer sites domestically, approximately 10%
Ability to obtain and maintain a security clearance issued by the U.S. government
U.S. citizenship required to obtain a security clearance
For Senior Data Scientist V: minimum of 10 or more years of experience in data engineering, software engineering, or a related technical field
For Senior Data Scientist V: experience designing, developing, and deploying advanced machine learning models and statistical analyses in support of space systems engineering and mission assurance

Benefits

Comp & perks

Comprehensive health care and wellness plans
Paid holidays, sick time, and vacation
Standard and alternate work schedules, including telework options
401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire
Flexible spending accounts
Variable pay program for exceptional contributions
Relocation assistance
Professional growth and development programs to help advance your career
Education assistance programs
An inclusive work environment built on teamwork, flexibility, and respect