AWS Cloud Data Engineer - Dallas - beBeeCloudData

We have an exciting opportunity for a Data Engineer to join our Financial Services organization. · ...

This role involves designing and implementing data engineering solutions using Python and Azure Data Factory within the Azure Data Factory ADF skill family. · ...

We're searching for a skilled Data Engineer to design, develop, and optimize data pipelines and architectures. · Design, develop, and maintain scalable data pipelines and ETL processes. · Build and optimize data architectures for data collection, storage, processing, and retrieva ...

Dice is the leading career destination for tech experts at every stage of their careers. · ...

The Data Engineer supports the design, build, and operation of data pipelines and models that power Hershey's enterprise data products. · This role develops reliable, scalable data transformations that enable analytics, reporting, and AI across Hershey's business domains. The Dat ...

This position can be based in Dallas in our Frisco office or at 19E in Hershey PA The Data Engineer supports the design build and operation of data pipelines and models that power Hershe s enterprise data products. · ...

Design and implement data engineering solutions using Python and Azure Data Factory. · ...

Data engineer needed to design and build database for Big Data analytical systems.Dallas TX. · Design data integration pipeline architecture. · Build robust applications using SQL and Spark. · ...

Market Data Engineering is part of the firm's Data Engineering group handling global access to financial market data sourced both internally and externally from the firm. The team is currently undertaking a project to revolutionize data ingestion, curation and distribution. · ...

We leverage cutting-edge data engineering technologies to build scalable, reliable, and high-performance data platforms. · ...

We are expanding our Data Engineering toolset and need an experienced AWS, Python and SQL Data Engineer. · Implement and manage AWS tools and environment. · Using Python/Pyspark in databricks build write complex scripts to transform ingested data meet business requirements. · ...

We are seeking a Data Engineer to join our centralized Data & Analytics team. · ...

+h2>Job summary · We are looking for a Data Engineer to work on large-scale batch pipelines, data serving, data lakehouse, and analytics systems. · Develop new or improve and maintain existing large-scale data infrastructures and systems for data processing or serving · Create an ...

We are seeking an experienced Data Engineer to design and maintain scalable data pipelines in Databricks. · Build and optimize pipelines in Databricks (PySpark, SQL, Delta Lake). · Ingest data from databases, APIs, PDFs, Excel, flat files, · Implement data quality checks validati ...

Lensa promotes jobs on behalf of UnitedHealth Group. Optum delivers care aided by technology to help millions live healthier lives. The PI Analytics team looks for data-focused engineers to quickly develop fraud detection software. · Support software development lifecycle · Lead ...

At Goldman Sachs, our Engineers don't just make things – we make things possible. · Design & develop data management tools to curate our most important data sets, · ...

We are a leading commercial real estate company specializing in buying selling developing and managing properties. · ...

A talented, enthusiastic, detail-oriented, and experienced DataEngineer who knows how to take on big data challenges in an agile way. · ...

+Design and build enterprise-scale data infrastructure and analytics solutions on Google Cloud Platform · Participate in design and implementation of enterprise-scale data pipelines and platform architecture for End-to-End data products. · Develop fault-tolerant, petabyte-scale d ...

This is a full-time hybrid role for a Data Engineer based in Dallas, TX, with flexibility for some work-from-home arrangements. · ...

Senior Azure Data Engineer to design build and maintain scalable Azure data pipelines develop and manage ETL/ELT processes using ADF and Databricks integrate data from multiple enterprise systems optimize data performance and storage build and support data warehouses for analytic ...