Senior Data Engineer (Enterprise Operations)
About The Position
The Aerospace Corporation is hiring a Senior Data Engineer for the Office of the CIO’s Data and AI Services team. The team provides advanced modeling, machine learning, and predictive analytics capabilities to inform enterprise services operations and strategic decision-making. The Data Engineering team builds and maintains the data infrastructure, pipelines, and platforms that support these capabilities. The Senior Data Engineer will design, build, and optimize scalable data pipelines and infrastructure to enable reliable, timely, and secure access to enterprise data. The role works closely with data scientists, software engineers, mission teams, and business stakeholders to make high-quality data available for analytics, AI/ML initiatives, and business operations. The position may be filled at Data Technical Lead Staff IV or Staff V level, with additional experience and streaming-data requirements for Staff V. Occasional domestic travel to work locations or customer sites, approximately 10%, is required. The position requires the ability to obtain and maintain a U.S. government security clearance, for which U.S. citizenship is required.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related STEM field.
- For Staff IV: 8–10 years of experience in data engineering, software engineering, or a related technical field.
- For Staff V: at least 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 storage, compute, and data-processing services.
- Strong understanding of data modeling, data warehousing concepts, and database design principles.
- Willingness to travel occasionally to domestic work locations or customer sites, approximately 10%.
- Ability to obtain and maintain a U.S. government security clearance; U.S. citizenship is required to obtain a clearance.
- For Staff V: familiarity with streaming data architectures and real-time data processing.
Nice To Haves
- Master’s degree in Computer Science, Data Engineering, or a related STEM field.
- 15 or more years of experience in data engineering.
- Prior experience in aerospace, defense, or government environments.
- Experience with containerization and orchestration tools such as Docker and Kubernetes, and Infrastructure-as-Code tools such as Terraform.
- Relevant certifications, such as AWS Certified Data Analytics or Google Professional Data Engineer.
Responsibilities
- Design, build, and maintain scalable ETL/ELT pipelines that 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 pipeline data is accurate, complete, and timely.
- 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 across teams to integrate new data sources and emerging technologies and continuously improve the data platform.
Benefits
- Comprehensive health care and wellness plans.
- Paid holidays, sick time, and vacation.
- Standard and alternate work schedules, including telework options.
- 401(k) plan with company-paid benefits of 8%, 10%, or 12% of eligible compensation based on years of service, plus matching contributions; employees are immediately eligible and vested upon hire.
- Flexible spending accounts.
- Variable pay program for exceptional contributions.
- Relocation assistance.
- Professional growth and development programs.
- Education assistance programs.
- Inclusive work environment built on teamwork, flexibility, and respect.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
