We are seeking an exceptional Senior Data Engineer to join our Client’s innovative team – US-based a product-led startup in the AI analytics & geospatial intelligence domain, combining space tech, machine learning, and climate-related data to drive insights with real-world impact.
Project – an ambitious modern data platform powering large-scale analytics, ML pipelines, and business intelligence. You’ll work on ingesting, transforming, and delivering real-time and batch data from diverse sources (apps, APIs, partners) to fuel rapid decision-making, enhance product features, and streamline automated reporting. The platform is in active development, with the MVP already live and utilized by internal teams. The roadmap is exciting: migrating legacy pipelines, optimizing performance, and implementing advanced data quality checks and observability features.
Requirements:
5+ years’ experience in Data Engineering Strong proficiency in Python for data processing and automation Hands-on experience with Dagster (preferred) or other orchestration frameworks Expertise in DBT for data transformations and modeling Solid command of SQL and experience with modern data warehouses such as ClickHouse or BigQuery Proven experience working with Google Cloud Platform (GCP) Familiarity with Modal or similar GPU compute tools Exposure to machine learning concepts, enabling seamless collaboration with ML teams Upper-Intermediate and better English level
Responsibilities:
Design and build scalable data pipelines Drive efficient data workflows that empower analytics and AI applications Partner closely with our Applied AI/ML Engineers and CTO to shape the platform’s future Influence the strategic direction of our data infrastructure through research and innovation Play a pivotal role in integrating the data layer with advanced AI features, driving transformative outcomes
We offer:
Competitive salary with the regular review Medical Insurance after 3 months probation period (can be used in Ukraine) Vacation (up to 20 working days) Paid sick leaves (10 working days) National Holidays as paid time off (11 days) Online English courses Accountant assistance and legal support Flexible working schedule, remote, office-based or hybrid format Direct cooperation with the customer Dynamic environment with low level of bureaucracy and great team spirit Challenging projects in diverse business domains and a variety of tech stacks Communication with Top/Senior level specialists to strengthen your hard skills Online teambuildings Volunteering culture development and support Your name Your email Subject Your message (optional)
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