> Markdown version of [/jobs/ext/4583309-data-engineer-plano-tx-onsite-5-days-a-week-cth-w2-position](https://www.wearedevelopers.com/jobs/ext/4583309-data-engineer-plano-tx-onsite-5-days-a-week-cth-w2-position). 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). --- # Data Engineer- Plano, TX - Onsite 5 days a week - CTH - W2 position - **Company:** Tech Rakers - **Location:** Plano, TX, United States - **Contract:** Temporary to permanent - **Skills:** Amazon Web Services, Amazon S3, Automation of Tests, Big Data, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Distributed Computing Environment, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Cloud Services, Aws Command Line Interface (CLI), Software Engineering, Systems Integration, Spring Cloud, Apache Spark, AWS Lambda, AWS Lake Formation, AWS Glue, AWS Data Analytics, Api Design, Data Pipelines - **Published:** November 5, 2026 - **Apply:** https://www.dice.com/job-detail/4b77833e-62ee-45f4-8456-174d896300c0 ## About the Role * aws services * aws s3 * aws lambda * aws cli * aws glue * python * data pipeline Top Skills Details 1. AWS Data Engineering (Most Critical Skill) Must have hands-on development experience building and deploying solutions within AWS environments, including: AWS S3 AWS CLI AWS Lambda AWS Glue AWS Lake Formation AWS Step Functions DynamoDB PostgreSQL AWS-native data engineering and integration services Candidates should be comfortable configuring AWS services, developing cloud-native applications, troubleshooting AWS environments, and deploying production-ready solutions. 2. Python Development Strong hands-on Python development experience Building cloud-native data pipelines API development and integrations Automation development Data movement and transformation solutions Production application development 3. Apache Spark Spark application development Distributed data processing Data transformation and enrichment Large-scale data processing workloads 4. Data Pipeline Development Candidates must have demonstrated experience: Building data pipelines from scratch Developing end-to-end data integration solutions Designing, coding, testing, and deploying production pipelines Working with multiple data sources and destinations Supporting enterprise-scale data movement initiatives Manager is specifically looking for builders who can develop solutions independently.