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Freelance Python Automation Engineer Jobs in Maple Shade, NJ

Artech Information System LLC

Python Developer

Mount Laurel, NJ · On-site

$49.75 - $68.50/hr

The software developer's role is to design, code, test, and analyze scripting languages (Python ... The candidate should be able to learn business rules and objectives to optimize automation efforts ...

Varsity Tutors

Python Tutor

Chester, PA · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... automation, and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at ...

RIT Solutions, Inc.

Python/AWS Developer

Wayne, PA · On-site

$45.50 - $62.75/hr

RIT Solutions, Inc. is seeking a Python/AWS Developer for their client Vanguard. The role involves ... way that support automation. • Elevates code into the development, test, and production ...

Kanak Elite Services Inc

Python AWS Developer

Malvern, PA · On-site

$49.25 - $68/hr

Seeking a forward-thinking Software Engineer to join an agentic AI chat assistant designed for self ... way that support automation. * Elevates code into the development, test, and production ...

Kanak Elite Services Inc

Python AWS Developer

Malvern, PA · On-site

$49.25 - $68/hr

Seeking a forward-thinking Software Engineer to join an agentic AI chat assistant designed for self ... way that support automation. * Elevates code into the development, test, and production ...

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All JobsPython Automation Engineer JobsFreelance Python Automation Engineer JobsFreelance Python Automation Engineer Jobs in Maple Shade, NJ

Freelance Python Automation Engineer information

See Maple Shade, NJ salary details

$22.9K

$139.3K

$201.5K

How much do freelance python automation engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for freelance python automation engineer in Maple Shade, NJ is $139,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $163,700.00 per year, depending on experience, location, and employer.

What does a freelance Python automation engineer do?

A Freelance Python Automation Engineer designs, develops, and implements automated solutions using the Python programming language. They often work with clients to streamline repetitive tasks, integrate systems, and improve workflow efficiency through scripting and automation tools. Their projects can range from web scraping and data processing to automating software testing or managing cloud infrastructure. As freelancers, they work independently, managing their own schedules and taking on projects from various clients. This role requires strong problem-solving skills, expertise in Python, and the ability to adapt to different project requirements.

What are the key skills and qualifications needed to thrive as a freelance Python automation engineer?

To thrive as a Freelance Python Automation Engineer, you need strong programming skills in Python, a solid understanding of automation frameworks, and experience designing efficient scripts or workflows. Familiarity with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required, along with relevant certifications in Python or automation. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for managing client expectations and delivering quality results independently. These skills and qualities are essential to efficiently automate tasks, ensure project reliability, and maintain strong client relationships in a competitive freelance environment.

What are some common challenges freelance Python automation engineers face when working with clients remotely?

Freelance Python Automation Engineers often encounter challenges such as unclear project requirements or shifting client expectations, which can lead to scope creep or delays. Communication barriers may also arise due to working across different time zones or with clients unfamiliar with technical terminology. To overcome these obstacles, it's important to establish clear project milestones, use detailed documentation, and schedule regular check-ins to ensure alignment with client goals. Building strong relationships and proactively managing expectations are key to successful remote collaborations.

What is the difference between Freelance Python Automation Engineer vs Python Developer?

AspectFreelance Python Automation EngineerPython Developer
CredentialsProficiency in Python, automation tools, scriptingProficiency in Python, software development skills, possibly certifications
Work EnvironmentFreelance projects, remote or on-site, client-specificFull-time or part-time employment, in-house or remote
Industry UsageAutomation tasks, process optimization, scripting for clientsApplication development, backend services, software solutions

Freelance Python Automation Engineers focus on automating processes and scripting for various clients, often working independently. Python Developers typically work on building software applications or systems within organizations. While both roles require Python skills, automation engineers emphasize scripting and automation tools, whereas developers focus on application development.

What cities near Maple Shade, NJ are hiring for Freelance Python Automation Engineer jobs?

Cities near Maple Shade, NJ with the most Freelance Python Automation Engineer job openings:

Freelance Python Automation Engineer jobs near you

Automation & Process Improvement Engineer

IntegriChain

Philadelphia, PA • On-site, Remote

Full-time

Medical, Life, Retirement, PTO

Posted 17 days ago

Job description

Company Description
IntegriChain is the data and application backbone for market access departments of Life Sciences manufacturers. We deliver the data, the applications, and the business process infrastructure for patient access and therapy commercialization. More than 250 manufacturers rely on our ICyte Platform to orchestrate their commercial and government payer contracting, patient services, and distribution channels. ICyte is the first and only platform that unites the financial, operational, and commercial data sets required to support therapy access in the era of specialty and precision medicine. With ICyte, Life Sciences innovators can digitalize their market access operations, freeing up resources to focus on more data-driven decision support. With ICyte, Life Sciences innovators are digitalizing labor-intensive processes - freeing up their best talent to identify and resolve coverage and availability hurdles and to manage pricing and forecasting complexity.
We are headquartered in Philadelphia, PA (USA), with offices in: Ambler, PA (USA); Pune, India; and Medellín, Colombia. For more information, visit www.integrichain.com, or follow us on Twitter @IntegriChain and LinkedIn.
This role offers flexibility, but candidates must reside in Pennsylvania, New Jersey, or New York and be within a reasonable travel distance of our Philadelphia office, as regular in-person collaboration is required.
Job Description
Mission
We're looking for someone who can sit with our operations teams and make their day-to-day work easier. You'll start with Managed Services, learn how they actually get things done, and then build the automations and integrations that take the repetitive, manual work off their plate. A lot of the job is scripting, connecting systems, and cleaning up messy processes, with AI tooling and concepts being a big part of it. We are looking for someone who has actually built with AI, both using it as a tool to work faster and building it into the solutions themselves, like putting LLM-powered steps or small agents right inside a workflow.
We think the right person is smart, driven, and technically strong, with real experience automating and improving processes inside a large operation. You know automation, process improvement, and systems integration well, and you've got real hands-on experience with AI, both using it day to day and building it into working solutions. You care about results you can actually point to, like hours saved, fewer errors, and more work getting done without adding headcount.
Position Overview
This is a hands-on role for someone who likes digging into operational problems. Here's what the work looks like:
  • Embedded work: You'll be part of an operations team, starting with Managed Services. You'll learn their workflows and go after the highest-volume, most painful tasks first.
  • Automation and integration: You'll write the scripts, jobs, and integrations that connect systems, move data around, and cut out manual steps.
  • Process improvement: Before automating anything, you'll look for ways to simplify it. Sometimes the best fix is removing a step, not speeding it up.
  • Building with AI: You'll build AI into the work itself, like an LLM that reads unstructured text or an agent that handles a multi-step task, and you'll use AI tools to build it all faster.
  • Results: You'll measure where things stand today and track what changes, like time saved and errors avoided.

Key Responsibilities
Process Improvement and Automation
  • Spend time with an operations team to understand how the work really happens and where automation would make the biggest difference.
  • Look for ways to simplify a process before automating it. Cut the steps that don't need to be there, then automate the rest.
  • Build the scripts, scheduled jobs, API connections, and data pipelines that take manual work off people's plates.
  • Connect the systems and data sources people rely on (internal tools, APIs, SQL databases, and other platforms) so information moves without someone copying it by hand.
  • Measure each process before and after so you know what actually improved, then keep refining it.
  • Keep what you build running. Monitor it, fix it when it breaks, and make sure people can count on it.
  • Show team members how to use the new tools and workflows, and write things down so other teams can pick them up later.

Building with AI and Engineering Practices
  • Design and build AI into the solutions you ship, like an LLM that reads and classifies unstructured text, or an agent that carries out a multi-step task on its own.
  • Use AI coding assistants such as Cursor, Claude, or Copilot to build faster, while keeping the quality of the code high.
  • Know the limits. Be honest about where AI is reliable and where a straightforward, deterministic automation is the safer bet.
  • Write clean, maintainable code, mostly in Python, and stick to good habits like version control, code review, and documentation.
  • Work with DevOps and SRE on deployment, secrets, monitoring, and keeping your automations healthy in production.

Qualifications
Required Skills and Experience
  • At least 4 years automating and improving processes, or building integrations and software, ideally for a large or high-volume operation.
  • A track record of automating real work and being able to show what it saved, whether that's time, errors, or extra capacity.
  • Solid Python (or something similar) for scripting and building integrations.
  • Real experience connecting systems through APIs and working with SQL and relational data.
  • A knack for process improvement. You can look at how something works, spot what's slowing it down, and redesign it instead of just automating the mess.
  • Real hands-on experience building with AI, not just using it. You've put LLMs or agents into something real, and you know how to use AI tools to speed up your own work.
  • A working understanding of common LLM patterns, like prompting, tool or function calling, and wiring an agent into a workflow.
  • Comfort working closely with non-engineering teams. You listen well, turn their needs into solutions, and explain technical things without the jargon.
  • Self-directed and steady when priorities shift, and things move fast.
  • Good at troubleshooting and debugging, including for things running live in production.

Preferred Experience
  • Experience with workflow automation, RPA, or job orchestration tools.
  • Experience working alongside operations or managed services teams to roll out technology.
  • Hands-on work with LLM APIs, tool or function calling, or agent-style workflows.
  • Experience deploying apps or services on AWS (containers, serverless, secrets, IAM, monitoring).
  • Experience with data platforms and analytics tools like Snowflake, semantic models, or natural language to SQL.
  • Experience with FastAPI, Streamlit, React, or similar frameworks.
  • Background in life sciences, healthcare, or pharma commercialization data such as MDM, patient, or channel data

Additional Information
What does IntegriChain have to offer?
  • Mission driven: Work with the purpose of helping to improve patients' lives!
  • Excellent and affordable medical benefits + non-medical perks including Student Loan Reimbursement, Flexible Paid Time Off and Paid Parental Leave
  • 401(k) Plan with a Company Match to prepare for your future
  • Robust Learning & Development opportunities including over 700+ development courses free to all employees

#LI-ZG1
IntegriChain is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to race, color, religion, national origin, ethnicity, age, sex, marital status, physical or mental disability, gender identity, sexual orientation, veteran or military status, or any other category protected under the law. IntegriChain is an equal opportunity employer; committed to creating a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
Our policy on visa sponsorship for US based positions: Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by IntegriChain.
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