Sr. AWS Glue ETL Developer

MACHINE LEARNING TECHNOLOGIES LLC; Town of Florida (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Palm Beach Gardens, FL is seeking a Sr. AWS Glue ETL Developer to support a major mainframe modernization initiative in a DevOps environment.

The role focuses on re-engineering batch jobs to ETL processes using cloud-native tools and building scalable data pipelines. You will drive design, development, and testing of Glue ETL PySpark jobs, coordinate with mainframe resources, and ensure smooth deployments with CodeCommit, CodePipeline, and CloudFormation.

Qualifications

• 8–12 years of relevant ETL development experience.
• Strong AWS experience with AWS Glue Studio.
• Proficiency in PySpark/Python and PostgreSQL.
• Experience with DevOps practices and CI/CD tooling.
• Bachelor’s degree required; Master’s preferred.

Responsibilities

• Re-engineer mainframe batch jobs to ETL processes using cloud-native tools like AWS Glue.
• Design and implement Glue jobs and data pipelines with PySpark, SQL, and Lambda/Step Functions.
• Collaborate with architecture and infrastructure teams to meet requirements and ensure performance.
• Develop and test end-to-end solutions; support deployments and higher-environment testing.
• Leverage CodeCommit, CodeBuild, CodePipeline for automated deployments and version control.

Skills

ETL development

AWS Glue

PySpark/Python

PostgreSQL

DevOps practices

AWS CloudFormation

Education

Bachelor's degree

Master's degree

Tools

AWS Glue Studio

CodeCommit

CodeBuild

CodePipeline

JIRA

Confluence

AWS CloudFormation

Linux Bash

Job description

Job Overview

• Job ID: J52600
• Job Title: Sr. AWS Glue ETL Developer
• Location: Palm Beach Gardens, FL
• Duration: 15 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

Sr. AWS Glue ETL Developer

Job Description

Total Force Alliance is seeking a Sr. AWS Glue ETL Developer with strong systems, software, and AWS cloud experience to support a major mainframe systems modernization initiative for federal customer. Based in DevOps framework, participate in and/or direct major deliverables of projects through all aspects of the software development lifecycle including scope and work estimation, architecture and design, coding, unit testing, support deployments and testing in higher environments.

Primary Responsibilities

• Re-engineer mainframe batch jobs to equivalent ETL batch processes, preferably using Cloud-Native tools like AWS Glue.
• Leverage serverless cloud services to prepare (extract and transform) and load large numbers of datasets for data processing.
• Coordinate closely with mainframe resources to ensure requirements and specifications are clearly understood.
• Design Glue jobs to meet requirements, consider performance where applicable, code per standards, and perform end-to-end testing.
• Document the design specifications and contribute to implementation plan then work with the architecture team and lead developer to review the design and the code.
• Effectively coordinate the infrastructure/service needs working with the architecture and infrastructure teams.
• Implement overall solution comprising of Glue ETL PySpark jobs including SQL queries, Lambda, Step Functions, REST API calls.
• Develop and integrate custom developed software solutions to leverage automated deployment technologies.
• Use industry leading DevOps tools such as CodeCommit, CodeBuild, CodePipeline and AWS CloudFormation.
• Communicate key project data to team members and infrastructure team cohesion and effectiveness.
• Leverage Atlassian tool suite like JIRA and Confluence to track activities.
• Identify and apply best practices and standard operating procedures.
• Create innovative solutions to meet the technical needs of customers.

Basic Qualifications

• Experience working in the software development lifecycle, with strong experience on ETL based development.
• Working experience with development using Amazon Web Services (AWS) and primarily on AWS Glue studio.
• Experience working with programming language PySpark/Python
• Experience working with relational database like PostgreSQL.
• Experience working in a fast-paced development environment with drive to completion.
• Well versed with using version control systems (CodeCommit, CodeBuild, CodePipeline preferred)
• Well versed with using issue/problem tracking systems (Jira preferred)
• Candidate must have bachelor’s with 8-12 years of prior relevant experience or master’s with 6-10 years of prior relevant experience

Preferred Qualifications

• Familiarity working with multiple file formats, and knowledge on DB2, JCL, COBOL COPYBOOK and EBCDIC character format is strongly desired.
• AWS, Agile, or other related Certification(s)
• Prior experience working mainframe modernization.
• Prior experience with Linux bash scripting

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