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Sr AWS Python Developer

  • Job type Posted on: Jul 14, 2026
  • Experience level Machine Learning Technologies LLC
  • Employment type Reston, Virginia
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Sr AWS Python Developer

Job Type :

Full-time

Job Location :

Reston Virginia United States

Remote :

No

Jobcon Logo Job Description :

Job Overview Job ID: J52265 Job Title: Sr AWS Python Developer Location: Reston, VA Duration: 21 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C 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 Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC 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. MACHINE LEARNING TECHNOLOGIES LLC 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 MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

Jobcon Logo Position Details

Posted:

Jul 14, 2026

Reference Number:

14660_F98FD19187D79AB1D4987CC15B12B008

Employment:

Full-time

Salary:

Not Available

City:

Reston

Job Origin:

APPCAST_CPC

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Job Overview Job ID: J52265 Job Title: Sr AWS Python Developer Location: Reston, VA Duration: 21 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C 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 Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC 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. MACHINE LEARNING TECHNOLOGIES LLC 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 MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract. #J-18808-Ljbffr

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