Rate $60/hr :: Need 12+ Years Lead AWS Glue Data Engineer - Fort Mill, SC or San Diego, CA (Hybrid 3-4 days onsite per week)

[JessicaPaul RWaltz]

Rate $60/hr C2C

NO OPT / GC - Passport num, VISA, DL Must for submission

Job Title: Lead AWS Glue Data Engineer

Location: Fort Mill, SC or San Diego, CA (Hybrid 3-4 days onsite per week)

12+ Months Contract

Job Summary

We are seeking a highly skilled AWS Glue Data Engineer to design, develop, and optimize large-scale data pipelines and ETL workflows on AWS. The ideal candidate will have strong expertise in AWS cloud-native data services, data modeling, and pipeline orchestration, with hands-on experience building robust and scalable data solutions for enterprise environments.

Key Responsibilities

· Design, develop, and maintain ETL pipelines using AWS Glue, Glue Studio, and Glue Catalog.

· Ingest, transform, and load large datasets from structured and unstructured sources into AWS data lakes/warehouses.

· Work with S3, Redshift, Athena, Lambda, and Step Functions for data storage, query, and orchestration.

· Build and optimize PySpark/Scala scripts within AWS Glue for complex transformations.

· Implement data quality checks, lineage, and monitoring across pipelines.

· Collaborate with business analysts, data scientists, and product teams to deliver reliable data solutions.

· Ensure compliance with data security, governance, and regulatory requirements (BFSI preferred).

· Troubleshoot production issues and optimize pipeline performance.

Required Qualifications

· 15+ years of experience in Data Engineering, with at least 8+ years on AWS cloud data services.

· Strong expertise in AWS Glue, S3, Redshift, Athena, Lambda, Step Functions, CloudWatch.

· Proficiency in PySpark, Python, SQL for ETL and data transformations.

· Experience in data modeling (star, snowflake, dimensional models) and performance tuning.

· Hands-on experience with data lake/data warehouse architecture and implementation.

· Strong problem-solving skills and ability to work in Agile/Scrum environments.

Preferred Qualifications

· Experience in BFSI / Wealth Management domain.

· AWS Certified Data Analytics – Specialty or AWS Solutions Architect certification.

· Familiarity with CI/CD pipelines for data engineering (CodePipeline, Jenkins, GitHub Actions).

· Knowledge of BI/Visualization tools like Tableau, Power BI, QuickSight.

Education

· Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field.

· Master’s degree preferred.