Sr AWS Python Developer

Ekcel Technologies Inc; Reston (VA); On-site; USD 110,000 - 140,000; Full time

Job summary

A technology firm is seeking a Sr AWS Python Developer in Reston, VA. This role involves building cloud-native applications with strong Python and AWS service skills. The ideal candidate will work on ETL pipelines, data storage, and collaboration with cross-functional teams. This includes a full-time position requiring 8 to 18 years of experience in a dynamic environment in the IT sector.

Qualifications

• 8 to 18 years of experience in software development, especially with AWS and Python.
• Solid SQL skills and familiarity with data modeling and query optimization.

Responsibilities

• Build and maintain ETL pipelines using Python and PySpark on AWS.
• Orchestrate workflows with AWS Step Functions and serverless components.
• Implement messaging and event-driven patterns using AWS services.

Skills

Python

PySpark

AWS Lambda

AWS SNS

AWS SQS

AWS Glue

AWS Redshift

SQL

Git

Job description

Sr AWS Python Developer (2 positions)

Location: Reston, VA (In person Client interview day one onsite)

Experience: 8 to 18 years

Employment: FTE or C2C

Visa Status: We are looking for Visa independent candidates only for this Position.

Job Description: Seeking an experienced AWS Python Developer to design, build, and maintain cloud-native applications and automation on AWS. The ideal candidate will have strong Python skills, hands‑on experience with core AWS services, and experience implementing Infrastructure as Code and CI/CD pipelines. This role collaborates with product, DevOps, and security teams to deliver reliable, scalable, and cost‑efficient solutions.

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 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 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.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting