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Data Engineer - AWS Pipelines & Data Lake (Remote)
Designs, builds, and optimizes scalable data pipelines within the AWS ecosystem, transforming raw data into reliable datasets using tools like Glue, EMR, and Redshift to support organizational analytics.
Senior Data Engineer (AWS)
Builds data platforms on AWS, including data ingestion, batch/streaming processing, and pipeline orchestration, using Spark, PySpark, Python, and AWS services like S3, EMR, Redshift, etc.
Senior Data Engineer
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai,…
AWS Data Engineer | 100% Remote | W2 Profiles
Role: AWS Data Engineer Location: 100% Remote Key Responsibilities Data Pipelines: Develop configuration driven ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift. Automation: Implement CI/CD…
Analytics Senior Lead - London
We are PMG PMG, a global independent platform company engineered for impact, integrates business strategy, media, creative, and data within a single operating model powered by our proprietary operating system, Alli.…
Analyst II - Digital and Web Analytics
JOB SUMMARY The Sr Data Analyst, Digital Marketing will be responsible for supporting web and mobile analytics, a/b testing, and performance measurement. The ideal candidate will have demonstrated experience leveraging…
AWS Data Engineer 100% remote Only Independent Visa (Only W2)
Role : AWS Data Engineer Location: Remote Job Description: • Build and maintain secure, scalable, and automated data pipelines. • Develop ingestion and transformation pipelines using AWS Glue, Lambda, and Redshift. •…
Data Engineer / Datu inženieris(-)
Location: Rīga,Rīga,Latvia Wandoo Finance is a consumer lending fintech headquartered in Latvia, operating in Poland, Spain, Romania, Peru, and now Lithuania. Five markets, growing fast, with a product range that keeps…
Analytics Engineer
Build and maintain scalable data pipelines and metrics for DoorDash’s analytics stack, partnering with data engineers and scientists to deliver trusted, self-serve insights using SQL, Python, and tools like Snowflake and dbt.
Engineering Manager, Data
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…
Senior Software Engineer, Data Engineering
Build and scale data pipelines, warehouses, and models to power analytics and reporting at DoorDash, using Python/Java, Spark, Kafka, Airflow, and cloud data platforms.
Software Engineer II, Data Engineering
Build and scale high-performance data pipelines and warehouse models to power analytics and reporting at DoorDash, using Python/Java, Spark, Airflow, Kafka, and Snowflake.
Analytics Engineer - Brazil
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.
Analytics Engineer - Brazil – Vaga exclusiva para PCD
Build and maintain data models, pipelines, and dashboards to support analytics and reporting for DoorDash's logistics platform, using SQL, Python, and Snowflake.
Analytics Engineer - Brazil– Vaga para mulheres
Builds and maintains data models, pipelines, and dashboards to support analytics and reporting for DoorDash’s logistics platform, using SQL, Python, and Snowflake.
Data Engineer
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.
Data Engineer – Brazil – Vaga exclusiva para PCD
Builds and scales data pipelines, warehouses, and analytics systems for DoorDash’s logistics platform in São Paulo, using Python, SQL, Spark, and cloud tools.
Analytics Engineer, India
Build and maintain scalable data pipelines and metrics for DoorDash’s logistics operations, partnering with engineers and analysts to deliver trusted, self-serve analytics using SQL, Python, and tools like Snowflake and Tableau.