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Senior Machine Learning Engineer, Operations
Senior Engineer, Machine Learning Ops (India) Location: Bengaluru, Karnataka, India Department: Technology We are looking for a highly skilled Senior Engineer – MLOps to build, deploy, and operate scalable, reliable…
Data Engineer
Build and maintain ETL/ELT pipelines and cloud data integrations using Python, SQL, PostgreSQL, Snowflake, and AWS services to support enterprise data operations and platform integrations.
Data Engineer with Snowflake
Design and maintain Snowflake data warehouses, secure data collaboration features, and ELT pipelines using SQL, Python, and AWS for a U.S. consumer insights client.
Senior Data Engineer
Hybrid contract role - 12 months duration Sunny Bay location and lifestyle Immediate strategic impact Shape decisions. Influence strategy. Make data matter. This isn't a "keep the lights on" contract.…
Director, Data Analytics and Business Intelligence Engineer
Director, Data Analyst/BI Engineer Location: United States Department: Data Engineering WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the…
Data Engineer
Design and maintain AWS-based data pipelines and platforms, building scalable ETL/ELT processes for enterprise reporting and analytics.
Senior MLOps Engineer / Data Scientist
Designs and maintains end-to-end ML pipelines for retail and Order-to-Cash processes, deploying models in Snowflake and automating with Azure DevOps, while translating insights into Power BI dashboards.
Azure AI Data Engineer
Designs and builds scalable Azure-based data pipelines and Lakehouse platforms for enterprise analytics and AI/ML workloads using Databricks, Delta Lake, and Azure Data Factory.
Software-Entwickler / Informatiker für KI & Machine Learning (m/w/d), Kennziffer 421
Develop and deploy real-time machine-learning models for adaptive optics in astronomical telescopes, integrating AI into control systems and testing hardware in labs and on-site.
QA Specialist (PowerBi)-Ext
QA Specialist tests Power BI reports and Microsoft Fabric migrations, validating data integrity and front-end usability with SQL, Playwright, and Excel.
GCP Data Engineer
Designs and builds scalable data pipelines on Google Cloud Platform using BigQuery, Dataflow, and Spark to process and transform large datasets for analytics and reporting.
Azure Data Engineer (Databricks/Data Factory)
Builds and maintains ETL/ELT pipelines using Azure Data Factory and Databricks, modeling data in PySpark and SQL for analytics and reporting.
Lead Snowflake Data Engineer
Lead a small team to design and build Snowflake-based data pipelines with dbt, ensuring scalability, quality, and governance for a pharma company’s AI and analytics initiatives.
Principal Data Engineering Lead - Services Special Project
Lead the design and operations of Apple’s real-time data platform, building ETL/ELT pipelines, multimodal data processing, and ML inference integrations to power intelligent search and analytics.
Senior Data Engineer
[Job-30800] Senior Data Engineer, Brazil Team: Prod_Argo Location: Brazil Commitment: Homeoffice Workplace Type: remote At CI&T, we help large enterprises transform the potential of AI into real business impact…
Data Engineering Lead
Data Engineering Lead Location: Ciudad de México, México Department: 3017068 DATA OPS Objective of the R ole Oversees and mentors a team of Data Engineer s , ensuring alignment with the data strategy for a Credit…
Senior Data Architect
Senior Data Architect Location: Any Location / Remote Time Type: Full time Job Description Type of Requisition: Pipeline Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public…
Director, Data Engineering
Leads a team of data engineers to build and optimize ETL/ELT pipelines and analytics systems that power Coupang’s search and recommendation models, using Python, SQL, Spark, and Airflow at massive scale.
Data Engineer
Build and maintain data pipelines and warehouses for an AI platform company, ensuring clean, reliable data for product, ML, and ops teams using modern ETL tools and SQL.