AWS data engineer (Only W2)

AWS Data Engineer – W2

📍 Location: Richmond, VA

🏢 Work Arrangement: Onsite – 4 days/week from Day 1

💼 Employment Type: W2 – Full-Time

🛂 Visa: All visa types accepted

Job Summary

We are looking for an experienced AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong hands-on experience with AWS data services, Python, SQL, and ETL development.

Key Responsibilities

• Design and develop scalable ETL/ELT data pipelines on AWS.
• Develop data solutions using AWS Glue, S3, Lambda, Redshift, and related services.
• Build and optimize data pipelines using Python/PySpark.
• Develop complex SQL queries and perform data transformation and optimization.
• Work with large datasets and implement efficient data processing solutions.
• Monitor, troubleshoot, and optimize data pipelines and AWS workloads.
• Collaborate with data architects, analysts, developers, and business teams.
• Ensure data quality, security, governance, and reliability.

Required Skills

• 7+ years of experience in Data Engineering.
• Strong hands-on experience with AWS.
• Experience with AWS Glue, S3, Redshift, Lambda and cloud data services.
• Strong Python/PySpark and SQL skills.
• Experience building production-grade ETL/ELT pipelines.
• Strong understanding of data warehousing and data modeling.
• Experience with Spark and distributed data processing.
• Strong troubleshooting and problem-solving skills.

Preferred

• Experience with Snowflake or other modern data platforms.
• Experience with AWS Step Functions / Airflow.
• Familiarity with CI/CD and DevOps practices.
• Experience working in Agile environments.

Interested candidates can share their resume for consideration.