Python Developer

Quantum Technologies. LLC; Atlanta (GA); On-site; USD 110,000 - 160,000; Full time

Job summary

Quantum Technologies LLC in Atlanta, GA, seeks a Python Developer with 6–10 years of software development experience to design and deliver robust AWS-based data engineering solutions for analytics and data product use cases.

You will design, build, and maintain scalable ETL pipelines with Python and PySpark, orchestrate workflows using Glue, Lambda, and Step Functions, and implement data validation, monitoring, and API integrations across internal and external systems.

Qualifications

• 6-10 years of software development experience.
• 5-8+ years on the appropriate platform.
• Solid IT background.
• Experience as an application developer on projects similar in scope and responsibility.
• Strong Python, PySpark, and SQL skills.
• Hands-on experience with AWS services and data engineering.

Responsibilities

• Design, build, and maintain scalable ETL and data pipelines with Python, PySpark, and AWS.
• Develop workflows using Glue, Lambda, and Step Functions.
• Build event-driven integrations using SNS, SQS, and related AWS services.
• Design and optimize data lake/warehouse with S3, Athena, and Redshift.
• Write and tune high-performance SQL for transformations and reporting.
• Implement data validation, monitoring, logging, alerting, and error handling.
• Design and support API/JSON integrations across systems.
• Troubleshoot operational issues and perform root-cause analysis.
• Contribute to documentation, deployment automation, and best practices.
• Collaborate with stakeholders and mentor junior engineers.

Skills

Python

PySpark

SQL

Data engineering

Tools

AWS Glue

Redshift

RDS

Lambda

Step Functions

SNS

SQS

S3

Athena

EMR

CloudWatch

CloudTrail

GitLab

Terraform

CI/CD

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.