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Build and maintain data pipelines and data management platforms for a government-focused AI workforce. Uses SQL, Python, and ETL tools to support national security missions.
Analytics Engineer building dbt data transformation pipelines and Snowflake data models for a Toronto-based hybrid role, supporting financial closure with POS data and payment vendor onboarding.
Transforms raw data into reliable, documented analytical assets by designing data models, building ETL/ELT pipelines with dbt/Dataform/Airflow, and ensuring data quality/governance in cloud environments (Snowflake, BigQuery, Redshift, Azure Synapse).
May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our…
A Senior Software Engineer role at ZoomInfo, focusing on building scalable web crawling and data extraction infrastructure, working with Java, Python, GCP/AWS, and large-scale ETL pipelines.
Own and scale the analytics layer for a production finance platform, building ETL pipelines, governed data models, and self-serve tools using SQL, Python, and dbt.
Designs and maintains a Snowflake-based analytics warehouse for grid-operator dashboards, using Python, dbt, and orchestration tools like Airflow/Dagster. Focuses on data pipeline reliability, testing, and documentation for energy/climate analytics.
Builds scalable cloud-based data pipelines and architectures for Cencosud’s e-commerce platform, focusing on AWS, Python, and Airflow to process and warehouse data.
Own the architecture, development, and automation of end-to-end machine learning solutions, bridging data science and software engineering using Python, Spark, AWS, and GCP.
Data Engineer role focusing on building and managing data pipelines using Python, SQL, PySpark/Apache Spark, and AWS data analytics solutions. The position requires 3+ years of experience in data engineering with 2+ years of AWS experience.
Build and deploy ML models end-to-end in healthcare, from EDA to production on GCP, using Python, LLMs/GenAI, and MLOps pipelines.
Build and maintain dashboards, write SQL against core banking databases, run deep dives, and turn findings into decisions for a B2B spend management platform. Core technologies include SQL, BI tools (Metabase/Power BI/Tableau/Looker), and Python/R.
Builds and maintains scalable data pipelines and ETL/ELT processes for clients, using cloud tools like Azure Data Factory, AWS Glue, and Snowflake to transform raw data into actionable insights. Works collaboratively with cross-functional teams to optimize data platforms and support analytics initiatives.
Build and scale backend services for a clinical AI platform that helps hospitals optimize revenue cycles and improve patient care using Python, Postgres, and AWS.
Poste à pourvoir au sein de CAPFI Technology CAPFI Technology, c’est l’entité – basée à Paris et à Londres – qui rassemble nos expertises en informatique et en finance de marché. Ici, nos consultants co construisent…
Builds and operates Databricks' internal data platform, including metrics stores, ETL frameworks, and orchestration tools, using Databricks products and open-source data tools at massive scale.
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
Designs, builds, and automates data pipelines for banking clients on Google Cloud Platform, ensuring scalable, high-quality data processing with Spark, Kafka, and BigQuery.
Senior Data Engineer designing, developing, and operating end-to-end data pipelines (ETL/ELT) using distributed computing tools like Spark/Flink, SQL, and workflow orchestrators (Airflow/Dagster) to ingest, transform, and deliver reliable datasets for BI, Data Science, and ML.
Data Engineer developing, maintaining and industrializing Python ETL pipelines to structure and standardize health data for a hospital's Data Factory, collaborating with scientific and infrastructure teams.
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