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815 Remote Pandas developers and experts available to hire:

Pandas engineer - Anurag T.
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Anurag T.

Vetted Pandas developer in the United States (UTC-7)

10+ years of experience as a Data Engineer and Data Analyst. Experience in leading data projects, data modeling, architecting data frameworks, and creating ETL/ELT data pipelines. Python, SQL, Scala, Databricks, Airflow, AWS, Spark, DBT, Google Cloud Platform

Pandas coder - Manos S.
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Manos S.

Vetted Pandas developer in the United Kingdom (UTC+1)

• Python developer with 8+ years experience and Computer Science background. • Creator of several popular open-source projects: https://github.com/Pithikos • Evangelist for good coding practices, continuous testing/refactoring and documentation (on the important bits). • A testing deity. • Work experience within tech, healthcare and finance.

Pandas coder - Brian Y.
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Brian Y.

Vetted Pandas developer in the United States (UTC-7)

*****General profile***** Hello! ex-Amazon engineer here. I have 5+ yoe in fullstack development and 1.5 yoe in AI engineering (JS and Python) I have both worked at startups building products from the ground up and big tech building large-scale distributed systems. With my unique blend of fullstack and AI expertise, I'm confident I can bring your next product to success! *****Tutor profile***** As an ex-Amazon engineer, I came from a non-CS background and eventually broke into big tech. I have also conducted numerous interviews at Amazon, so I know the secret to cracking the coding interviews. With a solid coverage of DSA fundamentals and uniquely curated list of questions from past FAANG interviews, many of my students were able to land jobs at FAANG companies. So whether you are a student or a seasoned engineer, I'm happy to help you land your next dream school/job! I'm currently an independent AI researcher offering tutoring with a part-time capacity at a discounted rate! Therefore, this opportunity may not be long! *****Tech stacks***** Proficient in Python, JavaScript, React, Vue.js, MySQL, PostgreSQL, MongoDB, PyTorch, Scikit-Learn, AutoML,OpenAI, LLM, Langchain, RAG. Look forward to collaborating with you!

Pandas architect - Vigneshwaran D.
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Vigneshwaran D.

Vetted Pandas developer in the United States (UTC-5)

Data Engineer specialized in Azure cloud solutions with proven expertise in building scalable ETL/ELT pipelines. Expert in: 🔹 Azure Data Factory: Developed production-grade data pipelines integrating Data Lake, Databricks, and Azure SQL, with automated data quality validation and Teams notifications. 🔹 API Integration: Successfully implemented end-to-end data solutions connecting with major SaaS platforms (Zendesk, HubSpot) using both Azure Functions and Databricks, handling complex authentication and data transformation. 🔹 Azure SQL & Data Lake: Extensive experience in data warehouse implementation, query optimization, and managing large-scale data operations. Recent achievements include: \- Automated file processing system with smart deduplication \- Real-time API integration with multiple CRM platforms \- Robust data validation frameworks with automated alerts \- End-to-end ETL solutions using Python, Databricks, and Azure services ✅ Available to work in the U.S timezone ✅ Available for freelance projects ✅ Strong focus on documentation and knowledge transfer ✅ Track record of delivering projects on time Looking to help businesses streamline their data operations and unlock valuable insights through robust data engineering solutions.

Pandas developers developer - Vigneshwaran D.'s portfolio image
Pandas engineer - David S.
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David S.

Vetted Pandas developer in the United States (UTC-7)

Results-oriented AI/ML and Full-Stack Engineering leader with 22+ years of experience. This includes architecting, developing, and deploying cutting-edge AI solutions, including LLMs, generative AI, and large-scale data insights systems. Expertise in a wide range of technologies, including AWS cloud services, CI/CD pipelines, and various AI/ML frameworks (TensorFlow, PyTorch, etc.). Adept at translating business requirements into technical solutions and delivering impactful results in fast-paced, innovative environments.

Pandas engineer - ceyhun K.
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ceyhun K.

Vetted Pandas developer in Turkey (UTC+3)

Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.

Pandas developer - Ryan M.
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Ryan M.

Vetted Pandas developer in the United States (UTC-4)

I hold a Master's in Computer Science with a focus on Artificial Intelligence and have extensive experience as both a Data Scientist and Full Stack Developer. In my current role at DTN, I develop machine learning models for commodity demand forecasting and implement LLM-based solutions, while my previous position at Gro Intelligence involved leading full-stack development of web applications, and developing data pipelines for large numbers of time series. I'm proficient in Python (including pandas, scikit-learn, and various ML frameworks), Javascript, C#, and AWS services. My unique combination of ML expertise and full-stack development skills allows me to tackle complex technical challenges from both development and data science perspectives. I've successfully deployed production systems ranging from data pipelines to interactive web applications, and have experience working with Unity3D for simulation and VR development.

Pandas consultant - Scott C.
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Scott C.

Vetted Pandas developer in the United States (UTC-4)

Dynamic software architect & leader with a proven track record of impact in enterprise, startup, and deep tech teams. Skilled in building high-availability solutions and core AI tech from edge to distributed systems. An experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customer, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.

Pandas consultant - Krishna V.
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Krishna V.

Vetted Pandas developer in the United States (UTC-5)

I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.

Pandas expert - Hitesh .
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Hitesh .

Vetted Pandas developer in the United States (UTC-6)

I am very passionate about data analytics. I enjoy working on massive data points to understand the story and create insights to help the organization make strategic decisions. I currently work with a media company where I lead the data, reporting, and insights aspect for the advertising business. My roles requires me to work with teams from technical as well as business side. I always enjoy working on complex problems and breaking it down to simple steps to make it easier to achieve.

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Why clients hire Pandas developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Pandas developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Pandas developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Pandas developers can help keep your website up-to-date.

How do I hire Pandas developers?

To hire a Pandas developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Pandas developers effectively and efficiently. Hire full-time Pandas developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Pandas developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Pandas developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Pandas developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Pandas developers?

There are two types of platforms you can hire Pandas developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Pandas developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Pandas developers, consider niche platforms like Arc that naturally attract and carefully vet their Pandas developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Pandas developers.

Some factors to consider when you hire Pandas developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Pandas developers for hire.

How do I write a Pandas developer job description?

Writing a good Pandas developer job description is crucial in helping you hire Pandas developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Pandas developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Pandas developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Pandas developer?

The top five technical skills Pandas developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Pandas developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Pandas developers to keep up with evolving technology and requirements.

What kinds of Pandas developers are available for hire through Arc?

You can find a variety of Pandas developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Pandas developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Pandas developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Pandas developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Pandas developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Pandas developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Pandas developers.

Every Pandas developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Pandas developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Pandas developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Pandas developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Pandas developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Pandas developers, you can rest assured that all remote Pandas developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Pandas developers on Arc?

Arc pre-screens all of our remote Pandas developers before we present them to you. As such, all the remote Pandas developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Pandas developer in 72 hours, or find a full-time Pandas developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Pandas developers.

How much does a freelance Pandas developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Pandas developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Pandas developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Pandas developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Pandas developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Pandas developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Pandas developers, check out our FAQs page.

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