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# Cloud Data Engineer (AWS)

- **Company:** BCforward
- **Location:** Plano, TX, United States
- **Experience:** Experienced
- **Salary:** $141,440.0
- **Contract:** Contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Cloud Database, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Python (Programming Language), Aws Command Line Interface (CLI), Microsoft Copilot, Salesforce.Com, Data Logging, Data Ingestion, Snowflake, Apache Spark, Boto3, Agentic-AI, Git, AWS Data Analytics, Bitbucket, Claude, Cloudwatch, Terraform, Splunk, Data Pipelines, Jenkins, Servicenow, Amazon Redshift, Databricks, Control M
- **Published:** October 27, 2026
- **Apply:** https://www.dice.com/job-detail/f9d7b115-5f7f-4f9f-b262-ec7f9d176c67

## About the Role

We are seeking a Cloud Data Engineer to join our team at an intermediate level aligned to 601/602 experience expectations. The ideal candidate will have strong experience in AWS data lake services, Snowflake, Python, and Terraform with CI/CD and a proven ability to design, build, and operate scalable data pipelines and lakehouse solutions in a secure, cost-effective manner. Candidates must be prepared for a single-round Zoom interview and may complete a coding assessment with screen share., * Minimum 6 years of cloud data engineering experience.

 * AWS data lake stack: Glue, S3, Lambda, Step Functions, Lake Formation.
 * Snowflake, Python, and Terraform with CI/CD practices.
 * Experience with AI tooling and workflows, including Copilot, Claude, and agentic patterns.
 * Hands-on with data movement tools and APIs: AWS CLI, Python API, Spark, Python Boto3.
 * Analytics and compute: Athena, S3 Select, EMR, Redshift, S3, EC2.
 * Scripting and programming: Python required. Java or Scala is a plus.
 * Scheduling tool knowledge. Control-M preferred.
 * CI/CD and release tools: Bitbucket/Git, Jenkins, ServiceNow.
 * Logging and tracing: AWS CloudWatch, Splunk.

Preferred Skills:

 * Experience with Snowflake Horizon Catalog and Databricks Unity Catalog.
 * Familiarity with Databricks and Salesforce integrations.

## Description

* Design, implement, and maintain data pipelines and lake architectures on AWS using Glue, Lambda, Step Functions, and Lake Formation.
 * Develop and optimize data ingestion and transformation using Python, Spark, and Boto3 with S3 as the storage layer.
 * Implement infrastructure as code with Terraform and manage CI/CD pipelines for testing, release, and deployment.
 * Enable analytics using Athena, EMR, Redshift, and S3 Select, and integrate with Snowflake where applicable.
 * Monitor, troubleshoot, and optimize workflows using CloudWatch, Splunk, and best practices for reliability and cost control.
 * Apply governance and catalog practices using Lake Formation, Snowflake Horizon, and Databricks Unity Catalog when applicable.
 * Collaborate with stakeholders to define requirements, deliver secure solutions, and support RTH-based performance objectives.