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At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of…
Leads the architecture and technical strategy for Datavant’s healthcare data platform, designing scalable, secure systems and mentoring senior engineers to improve data interoperability across the healthcare ecosystem.
Build and scale a machine-learning platform that trains, deploys, and governs models for Faire’s wholesale marketplace using Databricks, Spark, MLflow, and AWS.
Build AI-driven data products (agents, chatbots, automated query rewriting) using LLMs and traditional data engineering, deploying on GCP and orchestrating pipelines with Airflow/Dagster.
Build and maintain Sovrn’s data pipelines and warehouse to ensure reliable, high-performance analytics for Open Web businesses using Python, Spark, Databricks, Kafka, and AWS.
Designs and maintains scalable data pipelines, warehouses, and lakehouse architectures using tools like Dagster, ClickHouse, dbt, and Apache Iceberg to ensure reliable, high-quality data for analytics and AI-driven insights.
Chief Architect leading a Databricks practice at a tech consultancy—designing Lakehouse platforms, owning enterprise architecture, leading large-scale cloud/data migrations, and mentoring engineering teams across APAC, with hands-on Spark work.
Senior Data Engineer designing and building cloud-native data platforms with batch and real-time pipelines, AI-powered data products, and governance-focused architectures on AWS and Azure for Australian clients.
Endgame Economics is seeking a mid-level backend data engineer to build and maintain backend services and data pipelines that support their optimization models. The role involves collaborating with senior engineers to productionise models and manage AWS infrastructure.
Senior Data Engineer at a tech consultancy building cloud-native data platforms and AI-powered data products using Snowflake, Databricks, AWS, and Azure, working directly with enterprise clients in Australia.
Vivanti Consulting is seeking a Data Engineer to design and build data pipelines, data lakes, and warehouses for global clients. The role involves working with cloud technologies like GCP, Python, Spark, and Airflow in a collaborative consulting environment.
Hands-on Data Engineer building automated SQL pipelines and data warehouse foundations to support operational reporting. Core technologies include T-SQL, PostgreSQL, and ETL/ELT tooling.
GCP Data Engineer at a Melbourne tech consultancy, designing and building data pipelines, data lakes, and warehouses using Python, Spark, Airflow, Snowflake, and Databricks across client industries.
Mid-level backend/data engineer at a boutique consultancy building AWS-based APIs, data pipelines, and production ML model deployments while collaborating with economists and modellers.
Location: New York, Hybrid Medidata follows a hybrid office policy in which employees who are hired for an in-person position are expected to work on site a certain number of days per week in accordance with Company…
Build and maintain scalable data pipelines and lakehouse systems for AI-driven analytics and ML at a consumer tech company with 97.8M users.
The Senior Data/Analytics Engineer will design and develop data pipelines, integrate data sources, and implement processing algorithms for client projects. The role requires expertise in cloud platforms like AWS and GCP, data orchestration with Airflow, and strong programming skills in Python, SQL, and Scala.
Designs and maintains large-scale data pipelines and warehouses for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools like AWS/GCP.
Builds and scales data pipelines, warehouses, and analytics systems for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools.
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