12+ years only Senior Data Engineer (Python, PySpark / Big Data and AWS Data Ecosystem)

Job Title: Senior Data Engineer Location: Remote Duration: 6+ Months Contract Job Description: Role Overview We are seeking aSenior Data Engineerto design, build, and support scalable data pipelines and analytics datasets that power enterprise reporting across Finance, Technology, and Operations. This role focuses on ingesting data from corporate systems, organizing it in a cloud-based data lake, and enabling reliable reporting throughAmazonQuickSight. The ideal candidate is a hands-on engineer

AWS Lead Data Engineer Start ASAP (2-4 WEEKS) Duration 12 months This is a remote role; we prefer candidates in Southern CA, CA, or West Coast. Experience: 10+ Years MUST HAVE OIL AND GAS, UTILITY OR PIPELINE INDUSTRY EXPERIENCE Job Description: SENIOR AWS TECH LEAD DATA ENGINEER We do not need architects or Big Data engineers. We need an AWS Lead Data engineer who can perform hands-on coding on these tools: Python, Pandas, PySpark, Terraform, AWS Glue, Lambda, S3, Redshift, EMR. Lets make sure

Job Title :- Data Engineer As a Data Engineer II, you will design, build, and optimize modern data platforms that power advanced analytics and AI solutions. Youll collaborate with clients and interdisciplinary teams to architect scalable pipelines, manage secure and compliant data environments, and unlock the value of complex datasets across industries. Youll sharpen your expertise by working on innovative projects, contributing to R&D, and learning from top-tier talent in a dynamic, global envi

We are seeking an experienced Data Engineer with strong expertise in AWS cloud technologies, Python, SQL, and big data processing. The ideal candidate will have hands-on experience building scalable data pipelines, working with AWS Glue, and managing infrastructure using Terraform. In this role, you will design, develop, and optimize ETL workflows, support large-scale data processing using PySpark, and collaborate with cross-functional teams to deliver reliable data solutions in a cloud-native e