Sr AWS Python Developer

Cloud Hybrid Technologies, LLC; Reston (VA); On-site; Full time

Job summary

A leading technology solutions provider in Reston, VA is seeking a skilled data engineer. The role involves building and maintaining ETL pipelines using Python and PySpark on AWS Glue, as well as orchestrating workflows with AWS services. Candidates must have proven experience with AWS tools like Lambda, SNS, SQS, and Redshift, alongside solid SQL skills. This position promotes teamwork and data quality assurance while contributing to efficient data management solutions.

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.
• Experience with ETL best practices, data quality checks, and monitoring/alerting.
• Familiarity with version control (Git) and basic DevOps/CI-CD workflows.

Responsibilities

• Build and maintain ETL pipelines using Python and PySpark.
• Orchestrate workflows with AWS Step Functions and serverless components.
• 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 and monitoring for pipelines.
• Collaborate with data consumers and stakeholders.

Skills

Python

PySpark

AWS services

SQL

ETL best practices

Git

Job description

• 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 and experience:

• 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 SQLSQLskills 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

Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the United States as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract