AWS Cloud Engineer — Data Pipelines & Analytics

Red Oak Strategic; Alexandria (VA); Hybrid; USD 70,000 - 130,000; Full time

Benefits offered by this job

Flexible PTO

Office in Alexandria, VA

401(k) with Employer Matching

Annual bonus up to 15%

Life Insurance

Professional Development Incentives

Job summary

Red Oak Strategic in Alexandria, VA is seeking Cloud Engineers to design, build, and maintain scalable data pipelines and cloud-based applications using Python and AWS services. You will work with AWS Solutions Architects to deploy secure architectures, integrate diverse data sources, and deliver production-grade code.

The role offers growth, collaboration, and hands-on experience across data analytics projects.

Qualifications

• Experience building advanced ETL and analytics pipelines in Python.
• Knowledge of AWS services including Lambda, S3, Glue, ECS, Redshift.
• Collaborative software development with Git, documentation, and modular design.
• Strong communication and analytical problem-solving skills.
• Curiosity and ownership mindset with a proactive approach.

Responsibilities

• Design, build, and maintain scalable data pipelines and cloud-based applications using Python and AWS services.
• Deploy and manage cloud infrastructure following AWS best practices.
• Integrate structured and unstructured data from diverse sources into analytics solutions.
• Improve code quality and delivery velocity through modular design.
• Collaborate with cross-functional teams to meet client needs.

Skills

Python

ETL pipelines

Data analytics

Git / version control

Communication

Tools

AWS Lambda

AWS S3

AWS Glue

AWS ECS

Redshift

Job description

Red Oak Strategic in Alexandria, VA is seeking Cloud Engineers to design, build, and maintain scalable data pipelines and cloud-based applications using Python and AWS services. You will work with AWS Solutions Architects to deploy secure architectures, integrate diverse data sources, and deliver production-grade code.

The role offers growth, collaboration, and hands-on experience across data analytics projects.