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Builds and maintains AI-driven infrastructure for Oyster’s global HR platform, focusing on scalable ML pipelines and real-time employment data processing.
Staff Software Engineer leading Pantheon's data platform, extending it for data insights and ML, using Python, Airflow, Kubernetes, and Snowflake
A Lead Data Infrastructure Engineer at Stellic owns the design and operation of the company's data platform, building scalable data pipelines and customer-facing data systems to support student education insights and scale, using technologies like dbt, Airflow, S3, and Redshift.
Build and maintain data pipelines and ETL/ELT processes on modern cloud platforms while creating semantic models for business intelligence and supporting self-service analytics via Power BI.
Build and scale a Node.js backend and React frontend for an early-stage SaaS product, applying microservice lessons to clean system design and collaborating closely with founders.
Location: Tustin, CA Salary: $160,000.00 USD Annually - $170,000.00 USD Annually Description: Data Platform Engineering Lead Irvine, CA Fulltime Must Have Technical/Functional Skills Data Bricks , EBT ,Airflow , Asset…
Lead Data Engineer responsible for building and evolving the data stack from pipelines to platform, creating infrastructure for product intelligence, financial reporting, and self-serve analytics using technologies like Snowflake, DBT, Airflow, and AWS.
Builds and maintains ETL/ELT pipelines and a cloud data warehouse (e.g., Snowflake/BigQuery) from scratch, ensuring data accuracy, scalability, and usability while collaborating with cross-functional teams.
Job Description Do you want to take senior hands-on technical ownership of how mission-critical data centers are designed, expanded, and handed over for operation? GlobalConnect is expanding data center capacity across…
Senior Data Engineer at K Health responsible for designing and executing data initiatives, developing high-quality data pipelines and models, ensuring data quality, and building scalable systems to support clinical and business intelligence needs.
Senior Data Engineer building production-grade ETL/ELT pipelines and medallion lakehouses on Azure or GCP using Terraform, Docker, Kubernetes, and Airflow for clients across aviation, banking, and retail.
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
A Senior Data Engineer at DEPT® who translates business goals into concrete solutions, designs data systems and pipelines, and works with various databases and cloud platforms.
As a Data Engineer at Xyntrel, you design and build scalable data pipelines and architectures, working with data scientists and business stakeholders to create data-driven solutions.
Designs and maintains backend services, APIs, and data pipelines for Newzoo’s gaming analytics platform, focusing on scalability, reliability, and performance in a Python/Flask/PostgreSQL/BigQuery stack.
Analyzes payment datasets to identify performance trends, builds scalable analytics tools, and collaborates with stakeholders to drive data-driven optimizations and business growth at Adyen.
A remote Java Full Stack developer responsible for designing and building scalable, data-intensive applications using Java, Spring Boot, React/Angular, Postgres, Docker/Kubernetes, and cloud-native technologies like GCP.
Не просто код, а твій вплив на мільйони українців! Nova Digital — це технологічне серце екосистеми NOVA, де твій код стає частиною щоденного життя цілої країни. Про масштаб наших сервісів: 50+ млн запитів щодня…
The Staff Data Engineer at Commonwealth Bank will design and build scalable cloud-native data products, platforms, and pipelines that power customer engagement, CRM experiences, operational intelligence, and AI-enabled solutions. They'll work with emerging Generative AI and agentic AI capabilities, influence data architecture, and establish engineering standards across Business Banking.
Builds and maintains scalable data pipelines and AI workflow frameworks for an insurance-focused AI platform, collaborating with ML and product teams to support underwriting and decisioning systems.
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