Python Developer

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