AWS Cloud Data Engineer

🕒 July 30

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CCT

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏨 Hospitality

🍽️ Food & Beverage

📦 Logistics

Hospitality • Food & Beverage • Logistics

CCT is a B2B software company that provides Casino Insight, a cloud platform built exclusively for casinos to automate cash management, revenue audits, cage operations, and property-wide analytics. Their solutions replace manual, paper-based processes with unified data, automated workflows, and near-real-time insights across gaming, hotel, F&B, and retail operations, helping casinos reduce risk, improve efficiency, and increase profitability. CCT supports deployment and ongoing customer success, delivering measurable ROI and operational savings for casino operators.

📋 Description

• Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products. • Design and implement scalable data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis. • Create and maintain all Infrastructure-as-Code (IaC) for primary product teams using tools like AWS CloudFormation or CDK. • Develop and maintain data storage solutions using Amazon S3, Redshift, RDS, DynamoDB, or other AWS-managed databases. • Design and develop code pipelines for our primary product application to: • Build application components. • Run automated tests created by the QA team. • Execute static code analysis. • Allow or prevent commits or PR merges based on predefined quality thresholds. • Deploy and manage AWS infrastructure resources as needed to support organizational and product-specific goals. • Implement monitoring, logging, and centralization of application instrumentation for real-time insights and troubleshooting. • Optimize ETL workflows to efficiently manage data across diverse sources and destinations. • Set up and manage AWS IAM policies, roles, and security-related configurations to ensure secure access and data protection. • Stay updated on AWS innovations and recommend tools or best practices to enhance the organization’s data ecosystem. • Create comprehensive documentation and provide training for AWS-based data solutions, ensuring knowledge transfer and ease of use. • Ensure all data processes and systems adhere to security best practices, aligning with OWASP Top 10, CWE Top 25 guidelines, and CIS AWS Foundations Benchmark.

🎯 Requirements

• Minimum 5 years of applicable work experience within data engineering. • Strong analytical skills and the ability to translate data into actionable insights. • Excellent technical writing and oral communication skills. • Experience collaborating cross-functionally with internal and external stakeholders. • Travel Expectations: 0% • Ability to pass stringent background investigations, required • Clean driving record, required

🏖️ Benefits

• Competitive salary • Flexible working hours • Professional development budget • Home office setup allowance • Global team events