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Celery Jobs (NOW HIRING)

Contribute to the refactoring of Python-based backend services using Flask, SQLAlchemy, and Celery to improve dataflow, system stability, and inter-service coordination in a distributed environment.

Python Developer

Dallas, TX

$49.75 - $68.50/hr

... 1.7), Celery, Pandas Looking forward to a great working relation..!! Have a great day! Thanks Ranjit Technical Recruiter | E*Pro Inc., Work: 732-283-0499 x (234) E*Pro Inc. | 1000 Route 9 North ...

Senior Business Analyst

Oviedo, FL · On-site

$78K - $101K/yr

Starting out as a humble celery farm in 1926, DUDA's business operations today include Duda Farm Fresh Foods, one of the world's leading producers and suppliers of celery and other quality fresh and ...

Experience with asynchronous processing systems (Celery, Redis, Kafka) and handling long-running jobs. * Proven experience working with microservices architectures, including retries, failure ...

Senior Business Analyst

Oviedo, FL · On-site

$78K - $101K/yr

Starting out as a humble celery farm in 1926, DUDA's business operations today include Duda Farm Fresh Foods, one of the world's leading producers and suppliers of celery and other quality fresh and ...

Proficient in FastAPI/Django/Flask, Celery/RabbitMQ and Supabase/Postgres * AI: Proficiency in Langchain, RAG, embeddings, multi-step AI agents, AI agent evals & finetune * (Preferred) Search ...

Python Developer

Charlotte, NC

$49 - $67.75/hr

Knowledge of asynchronous programming (Asyncio, Celery). * Exposure to data processing tools (Pandas, NumPy - if data-focused role). * Familiarity with message brokers (Kafka, RabbitMQ). * Experience ...

FastAPI services, Celery workflows, EventBridge-driven event handling, queue management, and the action dispatch layer that executes agent decisions across CRM, calendar, and notification systems ...

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How much do celery jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for celery in the United States is $22.71, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $17.07 per hour, depending on experience, location, and employer.

What is the difference between Celery vs Data Analyst?

AspectCeleryData Analyst
Required CredentialsBasic programming knowledge, PythonBachelor's degree in statistics, mathematics, or related field
Work EnvironmentSoftware development, automation projectsBusiness, finance, marketing departments
Industry UsageTech, software development, data engineeringFinance, marketing, healthcare, consulting
Common Search/ComparisonTask queue management, background job processingData analysis, reporting, insights

Celery is a task queue system used for managing asynchronous tasks in software development, primarily in Python environments. Data Analysts focus on interpreting data to provide business insights. While Celery handles background processing, Data Analysts analyze data to inform decisions. They serve different roles but may collaborate in data-driven projects.

What are celery workers in the context of software development?

Celery workers are background processes used in software development to handle asynchronous tasks. Typically, they are part of the Celery task queue system, which allows applications to delegate time-consuming or resource-intensive operations—such as sending emails, processing images, or performing data analysis—to be executed outside the main application flow. This helps improve responsiveness and scalability. Celery workers can run on separate servers or processes and can be managed and monitored independently. They are commonly used in Python-based web applications.

What are some common challenges faced by Celery developers when implementing distributed task queues in production environments?

Celery developers often encounter challenges related to scaling and monitoring distributed tasks, ensuring reliability, and handling task failures gracefully. In production, it's crucial to properly configure brokers (like RabbitMQ or Redis), manage worker concurrency, and set up robust retry and error-handling strategies. Additionally, monitoring task execution and performance through tools like Flower or Prometheus is vital for maintaining system health. Collaboration with DevOps and backend teams is common, especially when integrating Celery into larger microservices architectures.

What are the key skills and qualifications needed to thrive as a Celery Developer, and why are they important?

To thrive as a Celery Developer, you need a strong background in Python programming, distributed systems, and message queue principles, often with a degree in computer science or related experience. Familiarity with tools like Celery, RabbitMQ or Redis, and containerization technologies such as Docker is essential. Excellent problem-solving, teamwork, and communication skills help you effectively coordinate with development teams and troubleshoot complex asynchronous workflows. These competencies ensure reliable background task processing, scalability, and robust system integration in modern software applications.
More about Celery jobs
What states have the most Celery jobs? States with the most job openings for Celery jobs include:
What job categories do people searching Celery jobs look for? The top searched job categories for Celery jobs are:
Custom Software Engineer

Custom Software Engineer

Accenture Federal Services

Herndon, VA • On-site

Other

Posted 18 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

46th of 425 rated business services


Job description

Job Description:

Responsible for developing and/or engineering the end-to-end features of a system, from user experience to backend code. Use development skills to deliver innovative solutions that help our clients improve the services they provide. Leverage new technologies that can be applied to solve challenging business problems with a cloud first and agile mindset.

Here's what you'll need:

  • 5+ years of professional experience in one or more of the following areas:
    • Proficient in Python and Java, with knowledge of the libraries and frameworks that make up the Python and Java ecosystems.
    • Experience designing and implementing RESTful APIs using tools like FastAPI.
    • Experience with asynchronous task processing tools like Celery and RabbitMQ.
    • Strong working knowledge of Docker and Kubernetes for building and deploying scalable, cloud-native applications.
    • Familiarity with distributed data orchestration and processing pipelines, using tools like Spark and Airflow.
    • Experience with relational databases like PostgreSQL.
    • Experience with CI/CD pipelines, cloud platforms (AWS, GCP, Azure), anddeploying applications within the Linux ecosystem.
    • Experience optimizing resources across cloud deployments for cost and performance benefit.

Bonus points if you have:

  • Apachi NiFi

Security clearance:

  • Active TS/SCI with Poly security clearance is required.

What Accenture Federal Services employees say

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