WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

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

Stellent IT LLC
Plano, TX, United States
15 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

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
+22 more
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

Requirements

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Loading talks and stories from around this role…