> Markdown version of [/jobs/ext/4719085-cloud-aws-data-services-engineer-w2](https://www.wearedevelopers.com/jobs/ext/4719085-cloud-aws-data-services-engineer-w2). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud AWS Data Services Engineer - W2 - **Company:** Congensys Corp - **Location:** Plano, TX, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Cloud Computing, Continuous Integration, Extract Transform Load (ETL), Python (Programming Language), Aws Command Line Interface (CLI), Microsoft Copilot, Snowflake, Apache Spark, Boto3, AWS Lambda, Agentic-AI, Data Lakes, AWS Lake Formation, AWS Glue, Data Analytics, AWS Data Analytics, Claude, Functional Programming, Terraform, Databricks - **Published:** November 14, 2026 - **Apply:** https://www.dice.com/job-detail/d85da598-e049-4697-9651-f3f7faca9dae ## About the Role * 5+yr of exp. required. * AWS Glue, S3, Lambda, Step function, Lake Formation, Snowflake, Python, and Terraform, CI/CD * Conversant with AI Suite (Copilot/Claude/Agentic workflows) * Need to be very strong in building out pipelines without much guidance * Must be very strong within AWS services specific to Data * Must be good with CICD * Must be good with hands on Python * Data Lake: AWS Lake Formation, AWS Glue, AWS Step Function, AWS Lambda * Data Movement: AWS CLI, Python API, Spark, Python Boto3 * Data Analytics: AWS Athena, S3 Select, EMR, Redshift * Compute/Storage: AWS S3, AWS EC2 * Snowflake and Databricks are a big plus, but not a must have