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ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible…
A semi-senior data engineer at Stefanini works on a project migrating data models and processes to Google Cloud Platform, building automated, scalable ingestion/transformation/storage pipelines with BigQuery and Dataflow, including moving Excel-based commission calculations into GCP.
Coderio is hiring a Senior Data Engineer in Buenos Aires to design, build, and optimize scalable batch and streaming data pipelines handling large volumes of financial and transactional data. Core stack includes Python, SQL, Apache Spark/PySpark, AWS data services, lakehouse architectures, Airflow, and dbt.
Data Engineer building and operating a modern cloud data stack entirely on GCP: designing end-to-end ELT pipelines, optimizing BigQuery models, orchestrating with Cloud Composer/Airflow, and developing dbt transformations with tests, documentation and CI/CD. 12-month renewable contract, remote in Spain, Spanish required.
Shakers is staffing a Senior Big Data Engineer for a long-term project with a leading Spanish insurer. The engineer designs, documents and optimizes batch and real-time data solutions using Spark, Java, Python, Azure and Google BigQuery, working hybrid from Madrid with the client's data engineering team.
Data Engineer designing, building and optimizing scalable data platforms on Google Cloud Platform (BigQuery, Cloud Storage, Cloud Composer) with dbt, defining architecture and ELT pipelines to deliver reliable data organization-wide, with a focus on performance and cost. Remote/work-from-home options available.
Data Engineer with a BI profile at Mediacore Solutions in Bilbao, working on clients' data infrastructure, automating processes, and building automated reporting delivered to advertising and media clients. Core stack: SQL/BigQuery, Power BI, and cloud solutions.
A data engineer who designs, builds and evolves data and AI solutions on Google Cloud Platform for strategic client projects — developing ETL/ELT pipelines, automations and integrations with Python and SQL, and implementing LLM-based AI agents (OpenAI/Gemini). Core stack: GCP (BigQuery, Cloud Storage, Cloud Run/Functions), Python, SQL, GitLab CI/CD.
Senior Java engineer at Intellias, consulting for a Fortune 100 industrial manufacturer, building cloud-based backend services and data products remotely from Spain. Day to day: Spring Boot microservices, event-driven pipelines with Kafka/Kinesis on AWS, PostgreSQL/DynamoDB data work, testing, and GitHub Actions CI/CD.
Builds a Model Context Protocol (MCP) so AI agents can interact natively with PubMatic, automating programmatic ad operations (inventory, deals, floor prices, OpenWrap/header bidding) plus real-time reporting and optimization. Uses Python, LangChain/LangGraph, APIs, BigQuery and cloud. Hybrid in Madrid, €33k–38k.
Data engineer at consultancy PALO IT, embedded with a leading insurance client, building cloud data pipelines and lakehouse platforms (Azure, Spark, dbt, Kafka, Airflow, Snowflake) with data quality and governance. The role is explicitly AI-native: daily use of GenAI coding tools like Copilot and Cursor.
Lead the Data Storage team on Chime's Data Platform, owning online and analytical data stores (Snowflake, data lakes) and a low-latency metric serving layer while managing engineers and defining storage strategies across the organization.
Crusoe is on a mission to accelerate the abundance of energy and intelligence . As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from…
The Mission AtScale is the semantic layer for modern data and AI. We bridge the gap between complex cloud data platforms—like Snowflake, Databricks, and Google BigQuery—and the business users who need consistent,…
Designs, builds, and maintains scalable ETL/ELT data pipelines and cloud data solutions on Google Cloud Platform. Core stack is BigQuery, GCS, Pub/Sub, Cloud Composer (Airflow), and DBT, with strong emphasis on data quality checks, monitoring/alerting, and cost/performance optimization.
Build and optimize Amplitude’s Nova OLAP engine, a distributed system processing trillions of events to power AI-driven product analytics and autonomous experimentation for thousands of customers.
Senior Analytics Engineer at FIGS (a DTC healthcare apparel brand) in Santa Monica, joining the Data Engineering team to build and maintain dbt models on Snowflake, dimensional data models, and semantic layers so Product, Marketing, Finance, Operations, and Ecommerce teams can self-serve trusted insights. Core stack: SQL, dbt, Snowflake, Git-based workflows.
Senior Java engineer designing and running Spring Boot 3.x microservices and event-driven data pipelines on AWS for a Fortune 100 industrial manufacturer's cloud services. Day to day: building APIs and streaming data workflows with Kafka/Kinesis, PostgreSQL, DynamoDB, JUnit/Cucumber tests, and GitHub Actions CI/CD.
Lead product strategy for #paid's Data & ML organization at its creator-brand marketplace, owning the Forge AI creator agent and predictive performance infrastructure. The role translates ML and data capabilities (SQL, BigQuery/Snowflake, LLM/RAG workflows) into user-facing features for brands and creators.
Senior Data Engineer building Akumin's enterprise data platform for analytics and AI in a healthcare (radiology/oncology) setting. Day to day: writing complex SQL, developing ETL/ELT pipelines (Python, DBT, Fivetran), and deploying data models on cloud platforms like GCP, BigQuery, and Snowflake for business leaders and data scientists.
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