Data Engineer (only W2)

Jobs via Dice; Richmond (VA); On-site; USD 105,000 - 193,000; Full time

Job summary

A leading company is seeking a skilled Data Engineer for a long-term contract in Richmond, VA. The ideal candidate will have experience with AWS data services, including Glue and EMR, and will be responsible for building scalable data pipelines and ensuring data quality throughout the ETL lifecycle.

Qualifications

• 3+ years of experience as a Data Engineer or similar role.
• Strong proficiency in Python and SQL for data processing tasks.
• Solid hands-on experience with AWS Glue and Amazon EMR.

Responsibilities

• Design, develop, and maintain scalable data pipelines using AWS Glue and EMR.
• Write efficient SQL and Python scripts for data processing.
• Monitor data pipeline performance and troubleshoot issues.

Skills

Python

SQL

AWS Glue

EMR

Spark

Data warehousing concepts

ETL development

Version control (Git)

Problem-solving

Job description

1 day ago Be among the first 25 applicants

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Baanyan Software Services, Inc., is seeking the following. Apply via Dice today!

Job Title: Data Engineer

Location: Richmond, VA or Plano, TX (Onsite/Hybrid based on client needs)

Type: Long-Term Contract

Job Description:

We are seeking a highly skilled and motivated Data Engineer for a long-term contract opportunity. The ideal candidate will have hands-on experience working with AWS data services and building scalable data pipelines. This position requires a strong understanding of AWS Glue, EMR, SQL, and Python to support data transformation, migration, and analysis.

Responsibilities:

• Design, develop, and maintain scalable data pipelines using AWS Glue and EMR.
• Write efficient and optimized SQL and Python scripts for data processing and transformation.
• Perform data ingestion from multiple sources, including structured and unstructured formats.
• Work closely with data analysts, data scientists, and business stakeholders to understand data requirements.
• Monitor data pipeline performance and troubleshoot issues in a timely manner.
• Optimize AWS Glue jobs and EMR clusters for performance and cost efficiency.
• Ensure data quality and integrity throughout the ETL lifecycle.
  
  

Required Skills:

• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency in Python and SQL for data processing tasks.
• Solid hands-on experience with AWS Glue and Amazon EMR.
• Good understanding of Spark (via AWS Glue or EMR).
• Experience with data warehousing concepts and ETL development.
• Familiarity with S3, Lambda, and IAM for managing data workflows on AWS.
• Knowledge of version control systems like Git.
• Strong problem-solving skills and attention to detail.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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