Python Developer

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Machine Learning Technologies, LLC is seeking a Python Developer to design and deliver robust AWS-based data engineering solutions for analytics and data product use cases. You will build ETL pipelines, manage data lakes and warehouses, and collaborate with stakeholders while mentoring junior team members in a fast-paced environment.

The role requires 6–10 years of software development experience with strong Python, PySpark, and SQL skills and extensive AWS services exposure.

Qualifications

• 6 to 10 years of software development experience.
• Strong Python, PySpark and SQL skills.
• Significant AWS experience (Glue, Redshift, Lambda, S3, etc.).
• Experience building ETL pipelines and data lakes/warehouses.
• API/JSON integration and cloud-based data integration patterns.

Responsibilities

• Design and maintain scalable ETL pipelines using Python and AWS.
• Develop workflows with Glue, Lambda, and Step Functions.
• Build event-driven integrations using SNS and SQS.
• Design data lakes and warehouses with S3, Athena, and Redshift.
• Write high-performance SQL for transformations and reporting.
• Implement data validation, monitoring, and error handling.
• Support API/JSON integrations across systems.
• Troubleshoot issues and drive corrective actions.
• Contribute to documentation and deployment automation.
• Mentor junior team members.

Skills

Python

PySpark

SQL

AWS

ETL

Data pipelines

APIs/JSON

GitLab

CI/CD

Terraform

Tools

Glue

Redshift

S3

Athena

EMR

CloudWatch

CloudTrail

RDS

SNS

SQS

Job description

We are seeking a Python Developer with 6 10 years of software development experience, a solid IT background, and experience as an application developer on projects of similar scope and responsibility. This role will independently design and deliver robust AWS-based data engineering solutions for analytics and data product use cases.

Key Responsibilities:

• Design, build, and maintain scalable ETL and data pipelines using Python, PySpark, and AWS services.
• Develop and manage workflows using Glue, Lambda, and Step Functions.
• Build event-driven integrations using SNS, SQS, and related AWS services.
• Design and optimize data lake and warehouse solutions using S3, Athena, and Redshift.
• Write and tune high-performance SQL for complex transformations and reporting.
• Design and implement data validation, monitoring, logging, alerting, and error-handling frameworks.
• Design and support API-based and JSON-based integrations across internal and external systems.
• Troubleshoot operational issues, identify root causes, and implement corrective actions.
• Contribute to documentation, deployment automation, and engineering best practices.
• Collaborate with stakeholders and mentor junior team members where needed.

Required Skills and Qualifications:

• 6 10 years of software development experience, with 5 8+ years on the appropriate platform.
• Solid IT background and experience.
• Experience as an application developer on projects similar in scope and responsibility.
• Strong expertise in Python, PySpark, and SQL.
• Strong hands-on experience with AWS services such as Glue, Redshift, RDS, Lambda, Step Functions, SNS, SQS, S3, Athena, EMR, CloudWatch, and CloudTrail.
• Experience with enterprise data lakes, data warehouses, data marts, and big data environments.
• Strong understanding of ETL best practices, data quality, and operational support.
• Experience with APIs, JSON, and cloud-based data integration patterns.
• Familiarity with GitLab, Terraform, CI/CD, and AWS developer tools.

Preferred Skills:

• Experience with DynamoDB, EC2, ECS, and Batch.
• Exposure to data migration and cloud modernization programs.
• Experience guiding junior developers on implementation best practices.
• Familiarity with the Secondary mortgage industry is preferred.
• Good understanding of performance engineering of code pipelines and near real-time systems.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.