Data Engineer - Seattle, WA

1. About Our Client:The organization operates as a GPU cloud service engineered specifically for artificial intelligence workloads. It addresses challenges faced by AI-focused companies by providing cost-effective, high-performance infrastructure that simplifies AI development. The company supports both startups and large enterprises, aiming to enhance technical capabilities while managing costs and promoting rapid innovation.2. About the Opportunity:The Data Engineer role is responsible for designing, building, and operating the data infrastructure that supports the organization’s platform, internal operations, and customer-facing services. This early-stage position works cross-functionally to transform raw operational data into reliable, scalable data products that enable faster delivery and better decision-making across the company.3. Responsibilities:Design and build scalable, reliable data pipelines ingesting data from infrastructure, platform services, and business systems.Define data models and schemas supporting operational workflows and analytics.Clean and structure data to create a comprehensive digital representation of operational status.Manage data access permissions and security within data platforms.Develop trusted datasets and metrics for internal processes and customer insights.Enable self-service analytics with clear data contracts and documentation.Build use cases to support capacity planning, cost optimization, reliability analysis, and reporting.Collaborate with product and commercial teams to translate questions into data solutions.Implement data quality checks, monitoring, and alerting.Maintain data lineage, freshness, and consistency.Establish best practices for data versioning, access control, and governance.Improve system resilience and observability continuously.Take end-to-end ownership of projects from design to production.Define standards, tools, and workflows for data handling.Contribute to technical decisions as platform and customer base grow.Serve as a thought partner to engineers and operators.4. Requirements:Extensive experience with Palantir Foundry, including ontology modeling, pipeline development, API integration, and data platform design.Strong skills in Python and data engineering libraries such as Spark, PySpark, Dask, and pandas.Familiarity with API-driven data integration methods like REST, GraphQL, and Foundry Action APIs.Experience with Git workflows, code reviews, version control, and CI/CD pipelines.Comfort working in ambiguous, fast-evolving environments.Effective communication skills for diverse audiences.Demonstrated ownership, pragmatism, and delivery of practical solutions.Nice to have:Experience with cloud platforms such as AWS, GCP, or Azure.Knowledge of distributed systems, monitoring data, or usage-based billing data.Experience supporting customer-facing data products.5. Pay Range and Compensation Package:Highly competitive package including base salary and equity, with annual reviews.6. Benefits & Perks:Flexible remote-first work environment allowing autonomy in managing work-life balance.Dynamic career progression tailored to individual ambitions.Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.