As an analytics engineer you will be responsible for both implementing new analytics infrastructure and making improvements to our existing systems. You will ensure delivery of solutions on-schedule following modern best practices, using DBT, continuous integration, linting and testing. This position requires you to deliver clean, maintainable, and extensible code and interface with operators to understand their needs.
The Deep Learning Analytics Center of Excellence at General Dynamics Mission Systems is seeking a seasoned data scientist with experience in Deep Learning, data visualization, software development, and full Machine Learning life cycle management. This role interfaces with business development teams, identifies AI/ML initiatives, engages with clients, and leads interdisciplinary teams in tackling DL challenges.
Derive facts from data and translate them into actionable insights and recommendations; Support the business by identifying opportunities and making smart, data-driven decisions. You will execute end-to-end BI projects and be the main point of contact for the internal stakeholders; Use (and develop) a local database; Create, automate, and visualize reports and analysis for both top management and local teams.
This role is for a Semi-Senior PySpark Data Engineer who is eager to learn, take initiative, and contribute to the development of high-performance and scalable data pipelines. This is perfect for someone who wants to enhance their technical skills while working on exciting projects within a collaborative team.
Looking for a highly experienced and detail-oriented Senior Data Engineer to lead the design, development, and optimization of complex data systems. This role is instrumental in building reliable, scalable data pipelines and infrastructure to support advanced analytics and data-driven decision-making across the organization. The ideal candidate is a technical leader with deep expertise in data architecture, performance tuning, and mentoring junior engineers.