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The Senior Software Engineer will design and build scalable backend systems and data pipelines to ingest, transform, and store large-scale data sets. The role focuses on Java-based development, distributed processing, and cloud infrastructure to support ZoomInfo's data acquisition efforts.
Data Engineer supporting DEA's case management modernization, designing and maintaining scalable ETL pipelines for data ingestion, migration, and integration using SQL, Python, and cloud data platforms.
Our mission Function Health’s mission is to empower people to live longer, healthier lives through proactive, data-driven healthcare. We aggregate and analyze comprehensive health data - including imaging, laboratory…
MK-Consulting розробляє державні реєстри, портали, інформаційні та workflow-системи, будує інтеграції між сервісами й автоматизує складні процеси роботи з даними — від discovery та проєктування до запуску й підтримки в…
About the Role We're looking for a full-stack engineer who operates at the intersection of AI Agents and blockchain. You'll build scalable, high-performance AI-driven applications, deeply integrate cutting-edge…
A Backend Engineer at Genius builds and maintains data infrastructure, APIs, and pipelines to support the music platform's features, scaling to millions of users daily, using technologies like Ruby on Rails, PostgreSQL, and BigQuery.
Data Engineer Manager owning the full data lifecycle—ingestion, modeling, governance, quality, security—at Pixlr Group, building pipelines and managing a small team using SQL, Python, and modern cloud data platforms like Snowflake or BigQuery.
The Data Engineer will build and scale data infrastructure, developing ETL pipelines and managing cloud architecture on AWS to support traffic and road analytics. The role involves end-to-end data lifecycle management, from feasibility studies to production maintenance and CI/CD automation.
Build and deploy enterprise apps and AI-powered solutions, integrating LLMs, Generative AI, and Agentic AI to solve business problems.
Designs and maintains scalable backend systems for fintech platforms, focusing on APIs, microservices, and distributed workflows using Java/Kotlin, PostgreSQL, and AWS.
Build and own Python backend services and a React/TypeScript admin portal on Microsoft Azure for connected-vehicle data collection in the automotive domain, using PostgreSQL, Docker, Kubernetes, and Terraform.
Optimizes CI/CD infrastructure and developer workflows for a robotics startup in food production, focusing on build performance, caching strategies, and PR landing reliability in a cloud-based monorepo.
Developer Experience Engineer optimizing CI/CD pipelines, build caching (Bazel, Turborepo), and developer workflows at a robotics company building food-production automation systems on AWS.
Build and maintain the data and ML platform for Lab37's robotics fleet, including ETL pipelines, ML training infrastructure, and observability systems using BigQuery, Argo Workflows, Kubernetes, and Python.
About the Role We're looking for a Software Engineer to build the systems that treat infrastructure as software. This role owns the software state machines that provision hardware, bring it into service, and manage…
Leads cloud/data migration projects (Snowflake/Azure) and maintains enterprise software systems, focusing on Python, REST APIs, and SQL for AI-driven enterprise solutions.
About Qualitate Qualitate is building the AI-native continuous intelligence platform for enterprises, investment firms, and asset managers. We automate the entire primary research workflow, from study design and expert…
Designs, builds, and optimizes scalable data pipelines and infrastructure to support AI/ML initiatives, ensuring high-quality, reliable data for analytics and machine learning teams.
Hands-on AI Data Engineer designing and optimising scalable ETL/ELT data pipelines and infrastructure to power AI/ML initiatives, using Python, SQL, Airflow/dbt, and major cloud platforms (Azure/AWS/GCP).
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
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