L3Harris Technologies is a global leader in aerospace and defense technologies. The company specializes in providing advanced communication, electronic systems, and software solutions for a wide range of applications in defense and civil markets. With a strong commitment to innovation, L3Harris supports military forces, government agencies, and commercial enterprises to enhance their operational capabilities.
3 days ago
🏄 California – Remote
⛰️ Colorado – Remote
+6 more states
💵 $93.5k - $173.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
L3Harris Technologies is a global leader in aerospace and defense technologies. The company specializes in providing advanced communication, electronic systems, and software solutions for a wide range of applications in defense and civil markets. With a strong commitment to innovation, L3Harris supports military forces, government agencies, and commercial enterprises to enhance their operational capabilities.
• The Space and Airborne Systems (SAS) Business Intelligence team is seeking a data architect and engineer who will be responsible for supporting the design and structure of our Segment’s primary data warehouse. • This role will require evaluating two legacy warehouses, supporting the development of the migration plan and data models, and creating ETL packages to move data into a consolidated data warehouse. • This individual will identify our internal and external data sources, collaborate with internal teams to determine data storage needs, and use this information to create and maintain data architecture ongoing. • This role will also be responsible for data warehouse governance practices, including data management, data quality, data security, and provisioning access.
• Bachelor’s Degree and a minimum of 6 years of prior relevant experience; Or, Graduate Degree and a minimum of 4 years of prior related experience; Or, in lieu of a degree, a minimum of 10 years of prior related experience • 4+ years of experience developing data solutions for business users, including all aspects of the data lifecycle • 4+ years of experience working with relational databases (Microsoft SQL Server, Oracle, Snowflake) and developing SQL queries on large data sets • 3+ years of experience with data extract, transform, and load (ETL & ELT patterns), data storage, data models, etc., using Azure Data Factory, SQL, DAX, and Python • 2+ years of experience with Power BI data visualization software • Strong attention to detail and a high degree of accuracy with minimal oversight • Successful history of manipulating, processing, and extracting value from large, disconnected datasets • Ability to handle complex problems and take initiative to research issues, engage in self-learning, problem-solve, and implement solutions • Ability to translate data-related requirements into innovative user solutions, drawing on prior education and experience, standard procedures, and basic analysis • Experience completing assignments with minimal supervision and setting objectives to meet the goals of assignments • Ability to establish rapport, communicate effectively, and collaborate with users, data providers, and management at all levels within an organization • Advanced organizational skills with the ability to work on multiple projects simultaneously and to comfortably adjust as priorities change • Able to operate in a fast-paced environment yet remain focused on long-term organizational goals • Excellent communication skills, commitment to quality, customer focus, adaptability, and interpersonal skills
• health and disability insurance • 401(k) match • flexible spending accounts • EAP • education assistance • parental leave • paid time off • company-paid holidays
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