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Senior Data Engineer – Enterprise Operations
The Aerospace Corporation. Design, build, and maintain robust, scalable ETL/ELT pipelines to ingest, transform, and deliver data from diverse enterprise sources .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining ETL/ELT pipelines, optimizing data architectures, and ensuring data quality across cloud and on-premise environments. Proficient in SQL and programming languages, with a strong understanding of data modeling and warehousing principles.
Highest-signal resume keywords
ETL/ELT Pipeline DevelopmentSQL ProficiencyData Pipeline Tools (Apache Airflow, Spark, Kafka)Cloud Data Platforms (AWS, Azure, GCP)Data Modeling and Warehousing
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
SQLPythonJavaScalaData Pipeline DevelopmentData ModelingDatabase DesignData WarehousingData Quality ChecksPerformance Optimization
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
Apache AirflowSparkKafkaAWSAzureGCPDockerKubernetesTerraform
Certifications & Qualifications
AWS Certified Data AnalyticsGoogle Professional Data Engineer
Industry Keywords
Data EngineeringSoftware EngineeringAerospaceDefenseGovernment
Tech Stack
Tools & technologiesAirflowApacheAWSAzureCloudDockerETLGoogle Cloud PlatformJavaKafkaKubernetesPythonScalaSparkSQLTerraform
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
- Lead improvements to 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 drive continuous improvement in 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 (e.g., AWS, Azure, or GCP), including services for storage, compute, and data processing
- 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%
- Ability to obtain and maintain a security clearance issued by the U.S. government
- U.S. citizenship required to obtain a security clearance
- For Data Technical Lead Staff V: minimum of 10 or more years of experience in data engineering, software engineering, or a related technical field
- For Data Technical Lead Staff V: familiarity with streaming data architectures and real-time data processing
- Preferred: Master's degree in Computer Science, Data Engineering, or a related STEM field
- Preferred: 15+ years of experience in data engineering, with prior experience in aerospace, defense, or government environments
- Preferred: experience with Docker, Kubernetes, and Terraform
- Preferred: relevant certifications such as AWS Certified Data Analytics or Google Professional Data Engineer
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