Data Engineer (AWS Lakehouse / CDK / CI-CD)

Summary: The Data Engineer role focuses on building and deploying production data pipelines on AWS, utilizing technologies such as PySpark, Glue, and Lambda. The position requires hands-on experience with infrastructure management through CDK and CI/CD pipelines. This is a contract-to-hire opportunity lasting over 12 months, with a remote working arrangement. Candidates should possess relevant AWS certifications and experience in data pipeline development.

Key Responsibilities:

• Build and deploy production data pipelines on AWS using PySpark/Glue, Lambda, and dbt.
• Manage infrastructure through CDK and CI/CD pipelines.
• Develop event-driven data pipelines using AWS-managed services.
• Implement infrastructure as code with CDK, CloudFormation, or Terraform.
• Deploy applications via CI/CD pipelines.
• Utilize strong SQL and dbt Core for data transformations and testing.
• Work with Lambda/API ingestion patterns and S3-based lakehouse architecture.

Key Skills:

• AWS Certified Data Analytics -- Specialty.
• AWS Certified Developer -- Associate.
• Databricks Certified Data Engineer Associate.
• Pipeline development with AWS Glue (PySpark) or Spark on EMR.
• Experience with AWS-managed services (Lambda, EventBridge, SQS, Kinesis).
• Infrastructure as code with CDK, CloudFormation, or Terraform.
• Deployment via CI/CD pipelines (GitHub Actions, CodePipeline, etc.).
• Strong SQL + dbt Core for transformations and testing.
• Lambda / API ingestion patterns and S3-based lakehouse experience.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT