Senior AWS Data Engineer – ETL & Data Warehouse (Redshift)

Compensation & Location

Location:
Torrance, CA

Pay Range:
$63.00 – $70.00 per hour (based on experience and internal equity)

Schedule:
Full-time, contract; long-term opportunity

Work
Type: 4 days per week on-site (Fridays remote)

Benefits:
Health, Vision, Dental, Life Insurance, 401k, Continuing and on-demand education

📍 Must be willing to work onsite in Torrance, CA (LA County)

✅ Sponsorship is available for this role

‼️ ONLY W2 – NO CORP to CORP – NO 3rd Parties

Position Overview

We are seeking a Senior AWS Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms within an enterprise environment.

This role will focus on ETL/ELT development, serverless architecture, and data warehouse optimization using AWS services such as Glue, Lambda, Redshift, and DMS, supporting business intelligence and data-driven initiatives.

Key Responsibilities

Data Engineering & Pipeline Development

• Design and implement scalable ETL/ELT pipelines using AWS Glue with PySpark for large-scale data processing

• Develop and maintain server-less integrations using AWS Lambda for event-driven workflows

• Implement data ingestion and integration pipelines across multiple systems

Data Warehouse & Analytics

• Design, develop, and optimize Amazon Redshift data warehouse solutions

• Perform performance tuning, build stored procedures, and support advanced SQL analytics

• Analyze data quality, transformation logic, and query performance

Cloud Architecture & Integrations

• Implement secure vendor file transfer and ingestion solutions using AWS Transfer Family

• Design and execute database migration and replication pipelines using AWS DMS

• Build orchestration workflows using Apache Airflow or similar tools

Collaboration, Compliance & Support

• Collaborate with enterprise architecture, security, and compliance teams to meet SOX and regulatory requirements

• Guide development teams on AWS best practices for performance, scalability, and cost optimization

• Troubleshoot production data pipelines and resolve integration issues across AWS services

• Support BI environments and data platform operations

Required Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field (or equivalent experience)

• 10+ years of experience building data platforms or data engineering solutions

• 8+ years of hands-on experience with AWS cloud services

• Strong experience with AWS Glue and PySpark for ETL processing

• Hands-on experience developing serverless applications using AWS Lambda

• Deep experience with Amazon Redshift, including performance tuning and SQL analytics

• Experience implementing workflow orchestration using Apache Airflow or similar tools

• Experience with AWS DMS for data migration and replication

• Strong SQL skills with experience writing complex queries

• Knowledge of AWS security, IAM policies, encryption, and compliance standards

• Strong troubleshooting, problem-solving, and analytical skills

Preferred Qualifications

• Experience working in financial services or regulated environments

• Experience implementing secure vendor integrations using AWS Transfer Family

• 3+ years of Big 4 consulting experience

• Stable work history within large enterprise organizations