Data Engineer Sr - Level 3

About the position

We are hiring a Data Engineer Senior in Lockheed Martin's Data & AI Enablement organization to support Data Engineering development efforts on the Enterprise Integration Applications team. Our most commonly used data tools consist of SAP ERP, S4/HANA, AWS, OpenShift, and non-ERP applications for processes such as engineering, manufacturing, supply chain, finance, etc. The Data Engineering (DE) activities support the pipelines, integration, and development effort of the applications our team supports. The Data Engineer Senior is responsible for delivering full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data. Build data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Requires experience in architecting, designing and developing highly scalable distributed data processing systems and Data Warehouse. Ability to gather and translate business requirements into analytical applications; Design and develop optimal code to maintain exceptional performance in processing large volumes of data across diverse sources. Maintain data systems performance by identifying and resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for application development and deployment.

Responsibilities

• Deliver full-stack data solutions across the entire data processing pipeline.
• Design and implement solutions that span the data lifecycle.
• Build data pipelines that clean, transform, and aggregate unorganized data.
• Gather and translate business requirements into analytical applications.
• Design and develop optimal code for processing large volumes of data.
• Maintain data systems performance by resolving production and application development problems.
• Define standards, best practices, and certification processes for application development and deployment.

Requirements

• B.Sc. in Computer Science, Software Engineering, Data Science, or related field.
• Experience with scripting languages (Python, R, JavaScript, etc.).
• Experience with database technology (Oracle, MySQL, SqlServer, Db2, etc.).
• Experience and knowledge of CI/CD and DevSecOps, Github capabilities in a data environment.

Nice-to-haves

• Agile Software Development experience.
• Experience with Docker, Kubernetes, and/or OpenShift.
• Experience with configuration management tools (Jenkins, Git, GitHub, GitLab, etc.).
• Experience with Atlassian tools (Jira, Confluence, BitBucket).
• Knowledge of AWS Cloud Platform with core services experience (EC2, S3, Lambda, RDS, etc.).
• Experience with ElasticSearch and/or OpenSearch.
• Experience with data visualization tools (Tableau, Splunk, IBM Cognos, etc.).

Benefits

• Medical, Dental, Vision, Life Insurance.
• Short-Term Disability, Long-Term Disability.
• 401(k) match.
• Flexible Spending Accounts.
• EAP, Education Assistance.
• Parental Leave, Paid time off, and Holidays.