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The Lead Data Engineer will provide technical leadership for a government data warehouse platform, focusing on SQL development, ETL processes, and data modeling. The role requires expertise in various database technologies and programming languages to improve data delivery frameworks and coding standards.
Data Product Manager Location: Remote Experience: 4–7 Years Key Responsibilities: Own data product strategy, roadmap, and lifecycle. Work with Data Engineering, Data Science, Architecture, and business teams. Build and…
About Hightouch Hightouch is an Agentic Marketing Platform powered by the industry-leading Composable CDP. With complete brand context, customer data, and performance history in one place, every marketer finally has…
Build and maintain scalable data pipelines and lakehouse systems for AI-driven analytics and ML at a consumer tech company with 97.8M users.
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform in São Paulo, using SQL, Python, and Snowflake.
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform, using SQL, Python, and Snowflake.
Builds and maintains data models, pipelines, and dashboards to support analytics and reporting for DoorDash’s logistics platform, using SQL, Python, and Snowflake.
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.
About the Team DoorDash is a data driven organization and relies on timely, accurate and reliable data to drive many business and product decisions. Data is at the foundation of DoorDash success. The Data Engineering…
About the Team This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas). At DoorDash, we believe diverse teams build better products. We are…
Junior Data Engineer at Dalhousie University building and testing ETL/ELT data pipelines for the enterprise data warehouse using Microsoft Fabric, Python, SQL, and Spark.
This role involves maintaining data pipelines and enhancing observability for transportation routing services using Python, AWS, and infrastructure-as-code tools like Terraform. The engineer will focus on monitoring service health, automating runbooks, and creating visualizations to provide operational insights.
The Principal DevOps Engineer will lead the architecture, scaling, and reliability of the company's Azure-based AI-native cybersecurity platform. This role focuses on building robust CI/CD pipelines, managing containerized microservices, and driving SRE practices to support high-volume security data processing.
The Data & Analytics Engineer will support university operations by extracting, cleaning, and analyzing data to provide actionable business insights. The role involves using SQL, ETL tools, and visualization platforms like Power BI to build reports and dashboards for stakeholders.
Design and implement ETL/ELT workflows, write complex SQL queries, and manage data services on Linux and cloud platforms using Python, Shell, and Hadoop ecosystem tools.
Data Engineer at RBC designing and optimizing a cloud data Lakehouse, building ELT pipelines with Python, SQL, Snowflake, dbt, Airflow, and Spark on AWS to support BI, ML, and AI initiatives.
Junior ETL Data Engineer on a 10-month contract designing ETL/ELT workflows, maintaining Python/Shell automation scripts, and optimizing SQL in a big data warehouse environment using Hadoop ecosystem tools on Linux and cloud platforms.
Data Engineer & AI Specialist at Infineon Technologies in Malaysia, building scalable data pipelines, deploying ML/AI models, and developing Power BI dashboards to drive quality improvement and manufacturing excellence.
This role is for a mid-level Data Engineer to design and optimize cloud-based data pipelines and warehouses on AWS while acting as a consultant to support presales and customer delivery. The position requires a blend of hands-on technical expertise in SQL, Python, and AWS services with strong communication skills to translate business challenges into scalable technical solutions.
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