ClearanceJobs
Lead Data Engineer
The Integrated Data Solutions (IDS) is seeking a Lead Data Engineer to join our team, who possesses a combination of technical expertise in data engineering, with planning and design skills in data architecture. The selected candidate will report to the IDS Senior Manager and be responsible for designing, implementing, and delivering comprehensive data solutions involving for data modeling, governance, and optimization to support business objectives, with a focus on delivering scalable, secure, and high-performance data systems. Key responsibilities includes: Act as a technical authority and subject matter expert within a large team of 130+ data analysts, engineers, and scientists, ensuring alignment with technical standards and best practices. Partner with the Digital Sustainment & Analytics (DSA) Chief Engineer and Chief Data Architect on the design and implementation of data solutions. Collaborate with the customer, program suppliers, and internal company cross-functional teams to identify and prioritize data needs and solutions. Develop and maintain data models and governance frameworks, including databases or data warehouses to integrate & deliver graphical and structured data. Build and optimize data pipelines, databases, and data sources. Ensure data security, quality, and integrity through robust security measures and data validation. Stay up-to-date with emerging trends and technologies in data management and engineering. Develop and maintain documentation of data systems, architectures, and processes. Troubleshoot and resolve data-related issues and performance problems. Communicating complex technical data insights to non-technical stakeholders through narrative and visual reports, including dashboards and presentations. Basic Qualifications: A minimum of 5 years of experience in data engineering, with a focus on designing, developing, deploying, and supporting large-scale data systems. Experience in processing and analyzing large datasets using programming languages and data processing frameworks. Understanding of data architecture principles and ability to design scalable and efficient data systems. Effective collaboration and communication skills to work with cross-functional teams, including data scientists, data analysts, and IT teams. Knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching. Ability to obtain a SECRET/SAR clearance. Desired Skills: Proficiency in one or more programming languages, such as R, Python, Java, Scala, or C++. Knowledge of data engineering tools, such as Apache Kafka, Apache NiFi, or Apache Airflow. Knowledge of cloud computing platforms and their data services. Knowledge of data processing frameworks. Familiarity with AI/ML related technologies. Professional Certification in a Data Science related field. Strong problem-solving skills to troubleshoot complex data engineering issues and optimize data systems. Ability to lead and mentor junior data engineers, and to contribute to the development of the data engineering team. A bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field. Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know: Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.
The Integrated Data Solutions (IDS) is seeking a Lead Data Engineer to join our team, who possesses a combination of technical expertise in data engineering, with planning and design skills in data architecture. The selected candidate will report to the IDS Senior Manager and be responsible for designing, implementing, and delivering comprehensive data solutions involving for data modeling, governance, and optimization to support business objectives, with a focus on delivering scalable, secure, and high-performance data systems. Key responsibilities includes: Act as a technical authority and subject matter expert within a large team of 130+ data analysts, engineers, and scientists, ensuring alignment with technical standards and best practices. Partner with the Digital Sustainment & Analytics (DSA) Chief Engineer and Chief Data Architect on the design and implementation of data solutions. Collaborate with the customer, program suppliers, and internal company cross-functional teams to identify and prioritize data needs and solutions. Develop and maintain data models and governance frameworks, including databases or data warehouses to integrate & deliver graphical and structured data. Build and optimize data pipelines, databases, and data sources. Ensure data security, quality, and integrity through robust security measures and data validation. Stay up-to-date with emerging trends and technologies in data management and engineering. Develop and maintain documentation of data systems, architectures, and processes. Troubleshoot and resolve data-related issues and performance problems. Communicating complex technical data insights to non-technical stakeholders through narrative and visual reports, including dashboards and presentations. Basic Qualifications: A minimum of 5 years of experience in data engineering, with a focus on designing, developing, deploying, and supporting large-scale data systems. Experience in processing and analyzing large datasets using programming languages and data processing frameworks. Understanding of data architecture principles and ability to design scalable and efficient data systems. Effective collaboration and communication skills to work with cross-functional teams, including data scientists, data analysts, and IT teams. Knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching. Ability to obtain a SECRET/SAR clearance. Desired Skills: Proficiency in one or more programming languages, such as R, Python, Java, Scala, or C++. Knowledge of data engineering tools, such as Apache Kafka, Apache NiFi, or Apache Airflow. Knowledge of cloud computing platforms and their data services. Knowledge of data processing frameworks. Familiarity with AI/ML related technologies. Professional Certification in a Data Science related field. Strong problem-solving skills to troubleshoot complex data engineering issues and optimize data systems. Ability to lead and mentor junior data engineers, and to contribute to the development of the data engineering team. A bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field. Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level: Secret Other Important Information You Should Know: Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Ability to Work Remotely: Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedule for this Position: 4x10 hour day, 3 days off per week Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration.