AWS Data Engineer

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

Role: AWS Data Engineer

Contract. Onsite: 5 Days Onsite.

Need only USC and GC. Rate: $60/hr on W2. Duration: Fulltime.

Location: Reston, VA (In-Person interview at Herndon VA).

Job Description

Seeking an AWS Data Engineer to design, build, and maintain scalable data pipelines and ETL solutions using Python/PySpark and AWS managed services to support analytics and data product needs.

Key Responsibilities

• Build and maintain ETL pipelines using Python and PySpark on AWS Glue and other compute platforms
• Orchestrate workflows with AWS Step Functions and serverless components (Lambda)
• Implement messaging and event-driven patterns using AWS SNS and SQS
• Design and optimize data storage and querying in Amazon Redshift
• Write performant SQL for data transformations, validation, and reporting
• Ensure data quality, monitoring, error handling, and operational support for pipelines
• Collaborate with data consumers, engineers, and stakeholders to translate requirements into solutions
• Contribute to CI/CD, infrastructure-as-code, and documentation for reproducible deployments

Required Skills

• 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 SQLSQL skills and familiarity with data modeling and query optimization
• Experience with ETL best practices, data quality checks, and monitoring/alerting
• Familiarity with version control (Git) and basic DevOps/CI‑CD workflows

Contact Information

Rachael

IT Services | Development | Staffing

URL: http://www.sidramtech.com

Email: [e-mail]

Direct: 4705239688

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