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Conda Jobs (NOW HIRING)

Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. * Knowledge of SQL, JavaScript, Apache airflow. * Strong communication skills.

Proficiency in Python, including in the object-oriented design, unit/reg testing, conda environment management. * Knowledge of SQL, JavaScript, Apache airflow. * Strong communication skills.

Manage Python packaging workflows and complex Conda environments. * Administer build infrastructure: runners, nodes, registries. * Implement automated security scanning, SBOMs, and artifact ...

CI/CD and Platform Automation Engineer

Saint Louis, MO · On-site

$51.25 - $70.25/hr

Manage Python packaging workflows and complex Conda environments. * Administer build infrastructure: runners, nodes, registries. * Implement automated security scanning, SBOMs, and artifact ...

Manage Python packaging workflows and complex Conda environments. * Administer build infrastructure: runners, nodes, registries. * Implement automated security scanning, SBOMs, and artifact ...

Manage Python packaging workflows and complex Conda environments. * Administer build infrastructure: runners, nodes, registries. * Implement automated security scanning, SBOMs, and artifact ...

DevOps Engineer

Huntsville, AL · On-site

$52.25 - $71.75/hr

... Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories (e.g., Artifactory). • Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent ...

DevOps Engineer

Colorado Springs, CO · On-site

$50.75 - $69.50/hr

... Conda, Poetry, or Pixi, including setup behind proxies and secure artifact repositories (e.g., Artifactory). • Proven ability to build and manage CI/CD pipelines in GitLab (or equivalent ...

Showing results 21-40

Conda information

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How much do conda jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for conda in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a conda?

A Conda job typically refers to a task or workflow that utilizes Conda, an open-source package and environment management system. Conda is commonly used in data science, machine learning, and software development to create isolated environments with specific dependencies. A Conda job might involve running scripts, training models, or managing software packages within a predefined environment. It ensures reproducibility and simplifies dependency management across different systems.

What are the key skills and qualifications needed to thrive in the conda position, and why are they important?

To thrive as a Conda environment manager or administrator, you need a solid understanding of Python programming, package management, and version control, often backed by experience in scientific computing or data science. Familiarity with Conda commands, virtual environment setup, and integration with tools like Jupyter and Docker is usually required. Strong problem-solving, organizational abilities, and clear communication are vital soft skills for supporting teams and troubleshooting package conflicts. These skills help ensure smooth workflows and efficient dependency management in collaborative, research-driven, or data-centric organizations.

What are the most common challenges faced by professionals managing conda environments?

Professionals managing Conda environments often encounter challenges related to package compatibility, dependency conflicts, and keeping environments reproducible across different machines. Balancing the needs of multiple projects, each requiring specific library versions, can require careful organization and proactive communication with team members. Staying up-to-date with new Conda features and troubleshooting complex installation issues are also common parts of the role. However, developing a strong understanding of Conda’s commands and best practices can make managing these challenges much smoother over time.

More about Conda jobs

What are the most commonly searched types of Conda jobs?

The most popular types of Conda jobs are:

Infographic showing various Conda job openings in the United States as of August 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.

Python Developer - Chandler, AZ- Hybrid - Contract opportunity (W2- Contract)

Zodiac Solutions

Chandler, AZ • On-site

$49.50 - $68.25/hr

Contractor

Re-posted 11 days ago


Job description

Role: Python Developer

Location: Chandler, AZ - Hybrid 

Duration: 12-18 Months of Contract( No c2c, Looking for W2 candidates)

Skills: Python, Django, APIs integration

Core Python

  • Advanced Language Features: Deep knowledge of Decorators, Generators, Context Managers, and Multithreading/Multiprocessing.
  • Asynchronous Programming: Proficiency in asyncio for building high-performance, non-blocking applications—a must for modern backend roles.
  • Code Quality & PEP 8: Strict adherence to PEP 8 standards and the use of static analysis tools like MyPy, Flake8, and Black to ensure enterprise-grade code.
  • Testing Frameworks: Mastery of Pytest (including fixtures and mocking) to maintain high test coverage and prevent regressions.

Backend Frameworks & APIs

  • Web Frameworks: Expertise in at least one major framework: FastAPI (for high-speed async APIs), Django (for "batteries-included" monoliths), or Flask (for lightweight microservices).
  • API Design: Strong experience building and documenting RESTful APIs or GraphQL endpoints, including authentication (JWT, OAuth2) and rate limiting.
  • ORM Proficiency: Skilled in using SQLAlchemy or the Django ORM to interface with databases without sacrificing query performance.

Data & Infrastructure

  • Database Management: Proficiency in PostgreSQL or MySQL, including schema design, indexing, and complex SQL queries.
  • Memory Management & Performance: Ability to profile code and optimize for memory usage and execution time (understanding time complexity like $O(n)$ vs $O(1)$).
  • Containerization & DevOps: Hands-on experience with Docker for local development and CI/CD pipelines (GitHub Actions, GitLab CI) for automated deployment.
  • Environment Management: Expert use of dependency managers like Poetry, Pipenv, or Conda to maintain reproducible environments.

Thanks,

Sanjay Kumar

sanjay.kumar@zodiac-solutions.com