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# W2 Role :: AWS Data Engineer :: Plano, TX - 5 days onsite

- **Company:** Stellent IT LLC
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Apache HTTP Server, Microsoft Azure, Databases, Continuous Integration, Information Engineering, Data Integration, Data Sharing, DevOps, Distributed Computing Environment, Amazon DynamoDB, Python (Programming Language), PostgreSQL, Operational Databases, Aws Command Line Interface (CLI), Scripting, Google Cloud, Snowflake, Apache Spark, AWS Lambda, Agentic-AI, Data Lakes, Pyspark, Deployment Automation, AWS Data Analytics, Bitbucket, Virtual Agents, Data Pipelines, Jenkins, Servicenow, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careerjet.com/jobad/us263efae3072a26d63ea32d3af281dadc

## About the Role

Experience: 4 6 years preferred; flexible for strong candidates
Interview Process: 1 technical Zoom round preferred; maximum 2 rounds
W2 Role
Must-Have Skills * AWS Data Services: Strong hands-on experience with S3, Glue, Lake Formation, Lambda, Step Functions, and AWS CLI.

 * Python: Strong development and scripting skills, including APIs and data pipeline development.
 * Data Pipeline Development: Proven experience building end-to-end production data pipelines from scratch, covering ingestion, transformation, and cross-platform integration.
 * Databases: Strong knowledge of PostgreSQL and DynamoDB.
 * Apache Spark/PySpark: Experience with distributed data processing and data engineering workloads.
 * AWS Data Lake: Hands-on experience with AWS-based data lake environments and data integration.
 * CI/CD & DevOps: Experience with Jenkins, Bitbucket, automated deployments, ServiceNow, and enterprise code promotion processes.

Good-to-Have Skills

 * Snowflake and Databricks
 * Apache Iceberg and cross-platform data sharing
 * Agentic AI and AI agent workflows
 * AWS Bedrock and AI tool integration
 * Exposure to Google Cloud or Azure

Hiring Manager's Key Expectations

 * Strong hands-on developers who can independently build AWS Lambda functions and end-to-end data pipelines.
 * Candidates must have experience building pipelines from scratch, rather than focusing primarily on maintenance, production support, or architecture.
 * Prioritize strong AWS data services, Python, database fundamentals, and CI/CD experience.