Remote Data Jobs • Docker

Join us in leading the change! The Senior Data Engineer will design, develop, and maintain data pipelines and infrastructure that support our organization's analytical and operational needs. You will work under the guidance of the Principal Data Engineer to implement efficient data solutions while ensuring data quality, reliability, and accessibility.

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.

Lead the Data Platform team, playing a pivotal role in Scalable Capital’s data journey. Improve, extend, and automate data platforms, acting as a hands-on staff engineer while mentoring two talented data experts. Serve as the expert for data engineering and platform best practices, empowering data teams and promoting a data-driven culture.

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.

As our ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems, working on impactful product features, collaborating with engineers and analysts, and having the freedom to experiment and learn to unlock massive value for the customers. You will develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.

If you are passionate about transforming data not only into information, but into actionable intelligence through Machine Learning models, this opportunity is for you! We’re looking for someone who enjoys building data pipelines and developing and implementing predictive models that generate a real impact on business.

Design & implement machine learning models in production. Create infrastructure for data ingestion, cleaning, and transformation. Ensure scalability, reliability, and performance of deployed models & infrastructure. Work closely with cross-functional teams to integrate machine learning solutions into products and services. Document model development processes, experiments, and results for future reference and reproducibility.

As an AI/ML Engineer, you’ll help design, build, and deploy machine learning models that improve how Veterans interact with digital services like VA.gov. You’ll collaborate with product managers, data scientists, and engineering teams to support initiatives such as intelligent routing for support requests, personalized content delivery, anomaly detection, and natural language processing for virtual agents.

We're on the lookout for a Machine Learning Engineer to spearhead the evolution of our device intelligence and fingerprinting systems. This is a chance to lead groundbreaking projects that directly combat fraud and enhance security for millions. You will design and refine backend services using Go (Golang) to process and analyze device data, ensuring robustness and scalability.

The Staff Software Engineer, Data Ingestion will be a critical individual contributor responsible for designing collection strategies, developing, and maintaining robust and scalable data pipelines. This role is at the heart of our data ecosystem, delivering new analytical software solutions to access timely, accurate, and complete data for insights, products, and operational efficiency.