Data Engineer - AWS & PySpark

Dallas, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract W2
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Job Details

Skills

  • pyspark
  • Problem Solving
  • Data Pipelines
  • Data Transformation
  • Communication Skills
  • Big Data
  • Data Quality
  • Scalability
  • Success Driven Person
  • Testing Skills
  • Data Systems
  • cloud Services
  • Data Processing
  • Amazon Web Services
  • Amazon S3
  • Extract Transform Load (ETL)
  • Distributed Computing Environment
  • Cloud Platform System
  • Python (Programming Language)
  • Knowledge of Finance
  • Banking Services
  • Standard Sql
  • Reliability
  • Customer Experience
  • Data as a Services
  • Tax Efficiency

Summary

Data Engineer AWS & PySpark

Location: Dallas, TX or Richmond, VA
Client: Confidential

Job Summary

We are looking for an experienced Data Engineer with strong hands-on expertise in AWS and PySpark. The ideal candidate must have prior professional experience working with Banking domain and be capable of developing scalable data pipelines and data processing solutions in a cloud environment.

Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using PySpark and AWS.
  • Develop and optimize large-scale data processing and ETL workflows.
  • Work with AWS cloud services to build reliable and high-performance data solutions.
  • Perform data transformation, cleansing, validation, and integration.
  • Optimize PySpark jobs for performance, scalability, and cost efficiency.
  • Collaborate with data architects, analysts, developers, and business stakeholders.
  • Troubleshoot data pipeline issues and ensure data quality and reliability.
  • Follow engineering best practices for code development, testing, deployment, and documentation.
Required Skills
  • Strong hands-on experience with PySpark.
  • Strong experience with AWS cloud services.
  • Experience developing ETL/data pipelines and processing large datasets.
  • Strong Python and SQL skills.
  • Experience with data transformation, integration, and data quality.
  • Mandatory: Prior Capital One project/client experience.
  • Strong communication and problem-solving skills.
Preferred
  • Experience with AWS data services such as S3, Glue, EMR, Lambda, Redshift, or similar.
  • Experience with distributed data processing and cloud-based data platforms.
  • Financial services/banking domain experience.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91140876
  • Position Id: 2026-453
  • Posted 1 hour ago

Company Info

About Cliff Services Inc

Cliff Services Inc. is an IT services and consulting company into planning and implementing cutting-edge IT business solutions and services for various business problems, in retail, healthcare, finance, education, food and various other industries. With our vast technology and industry expertise we provide scalable business solutions and assist our clients in achieving their business objectives with the use of technology.

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