Location/Remote: 100% remote within the United States; must be willing to work Mountain Time Zone hours

Employment Type: Permanent / Direct Hire / Full-time

Compensation: up to $140k base salary (depending on experience) + 15% bonus

Benefits:

• 100% medical premiums covered for employees (Gold plan)
• Coverage for dependents on medical, dental, vision, life, and supplemental insurances (e.g., critical illness)
• Short- and Long-Term Disability (STD/LTD)
• HSA & FSA options
• Unlimited PTO
• Up to 12 weeks paid parental leave
• 401(k) with 5% company match

Position Overview

We’re looking for a Backend Python Developer with a strong foundation in Python development and a working knowledge of data/ETL pipelines, preferably using AWS Glue. The ideal candidate is comfortable working in AWS cloud environments and building scalable, maintainable backend systems that occasionally interface with data workflows.

Responsibilities

• Design, build, and maintain backend applications and services using Python and cloud-native patterns.
• Support the integration and automation of data processing pipelines, with occasional development using AWS Glue or similar ETL tools.
• Develop RESTful APIs and backend logic to support data-driven features and workflows.
• Work within the AWS ecosystem, leveraging services like Lambda, S3, DynamoDB, and API Gateway where appropriate.
• Collaborate with cross-functional teams including DevOps, Data Engineers, and Product Managers to deliver secure and scalable backend solutions.
• Ensure code quality through unit testing, code reviews, and adherence to development best practices.

Requirements

• 5+ years of experience developing backend applications using Python.
• Experience with RESTful APIs, microservices, and event-driven systems.
• Proficiency working in AWS environments (e.g., Lambda, S3, RDS/DynamoDB, CloudWatch).
• Experience with Git and modern CI/CD workflows.
• Strong problem-solving skills and ability to work independently.

Nice to Have

• Familiarity with data/ETL workflows, preferably hands-on with AWS Glue or similar tools.
• Understanding of data formats such as JSON, CSV, and Parquet.
• Solid experience with AWS Glue or similar ETL tools.
• Experience with Step Functions, Athena, or Redshift.
• Exposure to data lakes or data warehousing environments.
• Knowledge of monitoring tools like CloudWatch, X-Ray, or Datadog.

Education & Certifications

• Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field (or equivalent hands-on experience)
• Relevant industry certifications in AWS, data engineering, or cloud technologies are a plus