Design, develop, and deploy foundational AI and ML models, building robust, scalable pipelines for advanced analytics.
Champion top-tier coding, testing, and MLOps practices, navigating ambiguity to refine pipelines and elevate workflows.
Partner with cross-functional stakeholders to convert strategic needs into technical specs and embed ML features into live applications.
Wave helps small businesses thrive so the heart of our communities beats stronger. They create an environment buzzing with creative energy and inspiration, valuing boldness, quick learning, and generous knowledge sharing.
Investigate, analyze, and integrate data from multiple sources to create reliable, consolidated sources of truth.
Build, maintain, and optimize automated data pipelines using technologies such as Databricks, Python, and PySpark.
Translate data into actionable insights that help stakeholders evaluate clinical, operational, financial, and member-related outcomes.
This is a remote opportunity to build and maintain data products that support healthcare programs and improve how care is delivered. The role is ideal for a creative, analytical problem solver who wants to apply technology and data to meaningful healthcare outcomes.
Design logical and physical data models for unstructured and semi-structured content.
Establish metadata standards and tagging taxonomies for consistent classification across knowledge sources.
Partner with data engineers to ensure ingestion and storage patterns align to the modeled domain structure.
We are a Digital Product Engineering company that builds products, services, and experiences. We have 18,000+ experts across 40 countries with a dynamic and non-hierarchical culture.
Build and maintain Silver and Gold data models, domain marts, curated datasets, and semantic assets for priority domains onboarding to Databricks.
Partner directly with business stakeholders to translate domain requirements and KPI definitions into governed, testable, and reusable transformation logic.
Create reusable domain patterns and analytical building blocks that allow teams such as FP&A, RevOps, and Marketing to operate more self-service over time.
Shield AI is a venture-backed defense-tech company protecting service members and civilians with intelligent systems. With offices worldwide, its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.
Monitor and maintain the health of the Center of Excellence (CoE) network, tracking performance and quality metrics.
Design and produce reports and dashboards using Databricks, Python, and SQL for clients and internal leaders.
Conduct access and network adequacy analysis, flagging trends and risks to stakeholders.
We combine clinical expertise, advanced AI, and large radiology quality datasets to improve diagnostic accuracy and detect diseases earlier. Backed by Insight Partners, our platform supports nearly 6 million people, and we're a remote-first team with a mission-driven culture.
Design and architect scalable Databricks-based solutions for enterprise clients.
Lead end-to-end cloud data platform implementations across AWS and Azure.
Provide technical leadership and guidance to data engineering teams.
Cuesta Partners delivers data engineering solutions for enterprise clients. They are a consulting firm with a collaborative culture focused on technical excellence and team growth.
Partner with the business-facing GSI leader to define and execute MinIO's global GSI strategy.
Architect and evangelize end-to-end AI Factory reference architectures spanning compute, GPU, Kubernetes, storage, and AI frameworks.
Influence C-level executives and lead technical workshops with strategic partners like NVIDIA and Databricks.
MinIO provides the data and memory foundation for enterprise AI, offering AIStor and MemKV to unify data across core, edge, and cloud. Trusted by 77% of the Fortune 100, the company is redefining how AI factories secure, persist, and unlock data value.
Build and maintain data ingestion systems and pipelines to ensure reliable data movement and transformation across platforms.
Develop and optimize scripts using Python, PowerShell, or similar languages to automate data collection and monitoring.
Own incident diagnosis and resolution, ensuring data integrity and continuous operation of critical systems.
AccuWeather provides the most accurate weather forecasts and warnings globally, serving billions of people and Fortune 500 companies. Founded in 1962, the company is an industry leader with a collaborative culture focused on innovation and diversity.
Design and deliver scalable Databricks solution architectures for enterprise customers.
Lead technical discovery sessions and develop prototypes and proofs of concept.
Collaborate with engineering, data science, and business teams to translate technical concepts into business outcomes.
This company is a partner organization that designs and delivers modern data and AI platforms. It offers a remote-friendly work environment and a collaborative culture focused on innovation.