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Data Engineer
Build and maintain scalable data pipelines and cloud-based platforms to power analytics, personalization, and ML across FOX’s digital media ecosystem using Python, PySpark, Kafka, and AWS.
Credit & Lending Data Engineer
Build and maintain data pipelines and warehouses to ingest, transform, and serve credit and lending datasets for a global fintech platform.
Senior Data Engineer
Design and build scalable cloud data pipelines in BigQuery, Python, SQL, and DBT to integrate enterprise systems into a centralized warehouse, ensuring high-quality, analytics-ready datasets for Mattel’s global teams.
Data Engineer, Asia
Build and maintain scalable data pipelines for a fintech startup, integrating customer financial datasets and ensuring high-quality debt data flows to power a global debt-raising platform.
Full Stack Engineer, Data Orchestration
Build and maintain Kestra’s full-stack orchestration platform: Java/Micronaut backend APIs and Vue 3 + TypeScript frontend for data pipelines, integrations with dbt, Airbyte, Snowflake, and more.
Product Manager, Data Orchestration
Own the product roadmap for Kestra’s open-source data orchestration platform, shaping features for data pipelines, integrations with dbt/Airbyte/Snowflake, and migrations from Airflow.
Senior Data Engineer, Artificial Intelligence
Design and build AI-powered apps and scalable data platforms using Python, AWS, Databricks, and Spark, plus LLM-driven services and data pipelines.
Staff Software Engineer (Remote)
Build and maintain dbt Core, the open-source engine that transforms data with software-engineering rigor, optimizing performance and reliability for thousands of data teams.
Manager, Software Engineering (Remote)
Manager, Software Engineering Location: Remote, India, APAC Department: Engineering Department From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as…
Account Executive
About Span Span exists to help engineering organizations turn AI adoption into real effectiveness. As AI tools reshape how software gets built, the companies that continuously improve how their teams use AI in their…
Staff Analytics Engineer, Data Platform
Build and own the data platform for a proptech startup: design a semantic layer, govern metrics, and enable self-serve analytics so Finance, Growth and Ops can trust their KPIs and AI agents can query safely.
Data Engineer
Design and maintain scalable data pipelines on GCP and Snowflake to feed marketing analytics and AI-driven insights for global brands, using Matillion, Rudderstack, and Amplitude.
Principal Data & AI Architect
Principal Data & AI Architect designs scalable backend and agentic systems for marketing data pipelines, integrating AI agents (Claude Agent SDK) to power analytics and campaign tools for Publicis Groupe's adtech platform.
Senior AWS Data Engineer
Senior Data Engineer builds and scales AWS-based ETL/ELT pipelines for high-volume industrial time-series data, optimizing a data lakehouse and ensuring reliability and cost efficiency.
Lead Data/Analytics Engineer
Lead the data stack at a fast-growing pet-care telemedicine startup: build event pipelines, dbt models, and metrics layers in Snowflake/Amplitude to power product decisions and AI features.
Full Stack Engineer, Data Orchestration
Builds and maintains Kestra’s full-stack orchestration platform, integrating data tools like dbt and Snowflake, using Java/Micronaut backend and Vue 3/TypeScript frontend.
Product Manager, Data Orchestration
Owns Kestra’s data orchestration product, defining features for data pipelines, integrations with dbt/Airbyte/Snowflake, and migrations from Airflow—releasing value quickly without heavy process.
Senior Data Architect
Design and evolve a modern cloud data platform using Snowflake, dbt, Python, Airflow, and AWS to connect business systems, enable analytics, and prepare for AI/ML use cases.
Data Engineering and AI Manager
Lead a team of ~7 data and AI engineers to build and scale enterprise data platforms (Snowflake, dbt, Fabric) and MLOps pipelines, ensuring reliable AI/ML integration and robust data governance.