AWS Data Engineer: Build Scalable ETL Pipelines & Analytics

SIDRAM TECHNOLOGIES; Reston (VA); On-site; USD 120,000; Full time

Job summary

A technology services company is seeking an AWS Data Engineer to design and maintain scalable data pipelines using Python and AWS services. This role involves building ETL pipelines, orchestrating workflows with AWS Step Functions, and ensuring data quality and performance. Strong experience with AWS services like Glue, Lambda, and SQL is required. The position is onsite in Reston, VA, offering a contract at $60/hr on W2 for full-time work.

Qualifications

• Strong experience with Python and PySpark for large-scale data processing.
• Proven hands-on experience with AWS services: Lambda, SNS, SQS, Glue, Redshift, Step Functions.
• Solid SQL skills and familiarity with data modeling and query optimization.

Responsibilities

• Build and maintain ETL pipelines using Python and PySpark on AWS Glue.
• Orchestrate workflows with AWS Step Functions and serverless components (Lambda).
• Implement messaging and event-driven patterns using AWS SNS and SQS.

Skills

Python

PySpark

AWS Lambda

AWS SNS

AWS SQS

AWS Glue

AWS Redshift

SQL

Git

Job description

A technology services company is seeking an AWS Data Engineer to design and maintain scalable data pipelines using Python and AWS services. This role involves building ETL pipelines, orchestrating workflows with AWS Step Functions, and ensuring data quality and performance. Strong experience with AWS services like Glue, Lambda, and SQL is required. The position is onsite in Reston, VA, offering a contract at $60/hr on W2 for full-time work.