Data Engineer AWS / PySpark / Glue

Greetings from Accion Labs,Our direct Client is looking for Sr. AWS Data Engineer-6+ Months Contract-Remote opportunity-Direct Customer.Primary Skills : Snowflake , Python ,AWS Glue , Lamda using Pyspark , SQL.Job Description:Collaborate with cross-functional teams including Data Scientists, Analysts, and Engineers to gather data requirements and build scalable data solutions, including processing unstructured data for AI initiatives.Design, develop, and maintain complex ETL pipelines using AWS

Role: AWS Data Engineer Location: Remote We are looking for an experienced AWS Data Engineer with 12+ years of experience for a long-term remote contract opportunity.Role Highlights: Build and maintain scalable, secure data pipelines Develop ingestion and transformation pipelines using AWS Glue, Lambda, Redshift Implement CI/CD pipelines for automated build, test, and deployment Design automated testing frameworks for data quality and performance Set up monitoring and observability using C

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

We are looking for a highly skilled Data Engineer to design, build, and maintain scalable data platforms on AWS. The ideal candidate is hands-on, cloud-native, and strong in Python, SQL, PySpark, AWS Glue, and Terraform, with experience building production-grade data pipelines.Responsibilities:Design, develop, and maintain scalable data pipelines using AWS servicesBuild and optimize ETL/ELT pipelines using PySpark and AWS GlueDevelop clean, efficient, and reusable code using PythonWrite and opti