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Senior backend engineer building metadata and data-pipeline services for Fivetran’s dbt platform, focusing on discovery APIs, catalogs, lineage, and run history in a cloud-native environment.
Build and maintain data ingestion pipelines that move and transform SaaS and in-house data into a warehouse, enabling reporting, ML, and GenAI insights.
Lead a data engineering team to design and maintain ETL/ELT pipelines, data warehousing, and analytics infrastructure using tools like Fivetran, dbt, AWS Redshift, and Python.
About Jetson Jetson is on a mission to accelerate the transition of 100 million homes across North America away from fossil fuels toward sustainable energy use. We believe in a future that is 100% electric and 100%…
About Tailscale Tailscale is building the new Internet by delivering software that makes it easy to securely interconnect people and their devices, no matter where they are. From hobbyists to multinational…
Design and build scalable data pipelines, APIs, and data models in Snowflake, DBT, and Azure Data Factory to support analytics and operations for a global seafood company.
Build and maintain basic data pipelines using SQL, scripting, and tools like Snowflake and DBT to move and transform data between systems under supervision.
Build and migrate Buildertrend’s data platform to a modern Databricks lakehouse, designing ELT pipelines and ensuring reliable, AI-ready datasets for analytics and decision-making.
Build and maintain scalable data pipelines, warehouses, and ETL/ELT workflows using Python, SQL, and cloud platforms to power analytics and AI products.
Design and maintain SQL-based data pipelines, build MMM models, and create client dashboards in Looker Studio/Tableau to turn raw media data into actionable insights for ad campaigns.
Design and oversee Snowflake-based data architectures and migrations, using Snowpark and SQL to optimize enterprise data solutions and client engagements.
Designs and implements modern data analytics solutions for clients, including ETL/ELT pipelines, cloud data warehouses, and BI dashboards using tools like Snowflake, Azure Data Factory, and Power BI.
Build and own Jetson’s marketing data lake—integrating ad platforms, CRM, and offline sources with dbt/Iceberg/Glue—and design attribution and experimentation models to guide $1B+ ad spend decisions.
Senior Data Engineer builds and maintains BigQuery data marts, validates digital marketing data (GA4, Segment, CRM), and prepares clean datasets for AI/ML models in a telecom company.
Build and scale the core data platform for a fast-growing B2B SaaS business, extending Databricks lakehouse, AWS infrastructure, and reusable tooling so teams can move data safely and quickly from ingestion to analytics and AI.
Architect and lead Faire’s ML platform, setting standards for MLOps, feature management, and scalable ML workflows using Databricks, Spark, and MLflow to empower data scientists and retailers.
Builds and optimizes Snowflake data warehouses and ETL/ELT pipelines using dbt and Airflow, collaborating with analysts to deliver clean, scalable data models.
Leads a team to build and maintain Prudential Malaysia’s data lake and enterprise data model on Azure, enabling analytics, AI, and regulatory reporting while ensuring governance and compliance.
Designs and builds cloud data platforms on AWS, Azure, and GCP using SQL, Python, and ETL best practices for enterprise clients.
Data Engineer – Snowflake Implementation (Greenfield Engagement) Flexible engagement options (contract or permanent, depending on fit) Sydney We’re looking for an experienced Data Engineer to lead a Snowflake…
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