AWS Data Engineer With Python

Overview

On Site

Hybrid

$100,000 - $120,000

Full Time

Skills

Amazon DynamoDB

Amazon EC2

Amazon EFS

Amazon Lambda

Amazon RDS

Amazon S3

Data Lake

Extract

Transform

Load

JSON

Object-Oriented Programming

Python

SQL

Step-Functions

Job Details

AWS Data Engineer with Python (Reston, VA)

Location: Reston, VA
Employment Type: Full-Time

About the Role

We are seeking a skilled AWS Data Engineer with Python to join a high-impact project for our client based in Reston, VA. This is onsite role requires a technically strong engineer with hands-on experience building scalable data pipelines and processing frameworks using a variety of AWS services.

Key Responsibilities

Design, build, and optimize data processing pipelines using AWS Lambda, Glue, EMR, Athena, and Step Functions.
Implement high-performance, scalable solutions for data ingestion, transformation, and delivery.
Collaborate with cross-functional teams to support data migration and cloud integration efforts.
Monitor, troubleshoot, and optimize pipeline performance.
Leverage Python for robust, object-oriented backend development in the AWS ecosystem.

Must-Have Skills & Experience

Expertise in AWS Services including:
- Compute: Lambda, EC2, Beanstalk, Batch, ECS
- Storage: S3, EFS, Glacier
- Analytics: EMR, Glue, Athena, Redshift, Kinesis
- Integration: SNS, SQS, Step Functions
- Developer Tools: CodeDeploy, CodePipeline
- Management & Monitoring: CloudTrail, CloudWatch
Strong Python programming skills (object-oriented)
Solid experience with SQL and working with JSON-based workflows
Familiarity with RDS, DynamoDB and enterprise data lake architectures
Proven track record in ETL, data migration, and cloud transformation projects
Ability to debug and identify root causes of system errors and apply effective fixes

Ideal Candidate

Based in or near Reston, VA
Self-starter with deep AWS ecosystem knowledge
Excellent communicator and team collaborator

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.