About the position
Lockheed Martin is a global security and aerospace company that employs approximately 114,000 people worldwide and is principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services. Lockheed Martin Missiles and Fire Control (MFC) is one of four Lockheed Martin business areas. MFC is a recognized designer, developer and manufacturer of precision engagement aerospace and defense systems for the U.S. and allied militaries. MFC develops, manufactures and supports advanced products for military customers that include the U.S. Army, Navy, Air Force, Marine Corps, NASA and dozens of foreign allies. MFC also offers a wide range of products and services for the global civil nuclear power industry and the military's green power initiatives. At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges. We are seeking a talented Software Developer to support the continued development and program roll out of the Advanced Rapid Integration Simulation Environment (ARISE) Analytics platform.
Responsibilities
- Support the design, implementation, and refinement of a large scale data storage system.
- Provide leadership and mentorship to junior data and software engineers.
- Establish standard processes for development and production-ready analytics solutions.
- Stay connected with research in academia and apply best-of-breed solutions to technical challenges.
- Support the design of data pipelines, data strategies, and program processes.
- Define and communicate a long-term roadmap for a modern data platform.
Requirements
- Ability to obtain a secret security clearance. Must be a US Citizen.
- Experience with the Python programming language.
- Experience working in an Agile team structure.
- Adaptability with rapidly changing technologies and willingness to continuously learn.
- Demonstrated ability to design, implement, and optimize relational database systems.
- Proficiency in conceptual, logical, and physical data modeling.
- Familiarity with data governance frameworks and ability to implement data quality.
- Experience incorporating CI/CD pipelines, automated testing, and infrastructure-as-code.
Nice-to-haves
- 6+ years experience working and leading Data Engineering based projects.
- Knowledge of data security best practices, encryption, and role-based access controls.
- Amazon Web Services (AWS) experience.
- Hands-on experience with PostgreSQL.
- Experience designing, building, and maintaining high-volume ETL/ELT pipelines.
- Familiarity with performance tuning techniques and monitoring/logging tools.
- Proven experience leveraging Apache Arrow and utilizing Parquet for scalable storage.
Benefits
- Flexible work schedules.
- Comprehensive benefits investing in your future and security.
- Paid Time off benefits.
