Data Engineer - Plano, TX

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Job Title: Data Engineer

Location: Plano, TX/ Oklahoma City, OK/ Little Rock, AR/ Roswell, NM/ Kansas City, KS.

Long Term Contract

Can do Only W2, No C2C

Job Summary:

We are seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will possess strong expertise in AWS services, ETL processes, data warehousing, and big data technologies to support enterprise analytics and business intelligence initiatives.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL workflows.
• Build and optimize data ingestion and transformation processes for structured and unstructured data.
• Develop cloud-based data solutions using AWS services and modern data engineering frameworks.
• Implement and maintain data lakes and data warehouses for enterprise reporting and analytics.
• Ensure data quality, integrity, security, and governance across data platforms.
• Optimize data processing performance and scalability.
• Collaborate with architects, developers, analysts, and business stakeholders to deliver data solutions.
• Support CI/CD processes, deployment automation, and release management activities.
• Troubleshoot production issues and implement performance improvements.
• Create technical documentation and support data modernization initiatives.
  
  

Required Skills:

• Strong experience with AWS Cloud Services
• Hands-on experience with ETL development
• Experience building and maintaining Data Pipelines
• Expertise in Python
• Strong SQL development skills
• Experience with Data Warehousing concepts
• Knowledge of Big Data Technologies
• Experience with AWS S3
• Experience with AWS Glue
• Experience with AWS Lambda
• Experience with Amazon Redshift
• Experience with EMR
• Knowledge of Apache Spark
• Familiarity with Kafka
• Experience with CI/CD pipelines
• Experience with version control systems such as Git
  
  

Preferred Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Experience with enterprise-scale cloud data platforms.
• Experience with real-time and batch processing architectures.
• Familiarity with DevOps and infrastructure automation tools.
• Experience with Agile/Scrum methodologies.
• AWS certifications are highly preferred.
• Experience working in highly regulated or large enterprise environmen
  
  

Best Regards:

Tina

Phone:

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