Hire Data visualization developers

A Data visualization developer is a person who makes data easier to understand by turning it into graphs, charts, maps, etc. As many companies these days are becoming more and more data-driven and have plenty of valuable but incomprehensible information at their disposal, Data visualization developers help the companies detect or predict trends and use them to their advantage. Most data visualization developers are jacks of all trades, who can not only use data visualization tools, cooperate with data analysts to prepare data, and know a few programming languages, but even have UX skills to boot, making data appealing and engaging.

No, Data visualization does not require coding. Currently, there are enough no-code tools on the market to cover the goals of a simpler project without using complex solutions. However, finding a developer who also knows how to code would be pretty beneficial: their skills will allow them to work with larger datasets, be more flexible with customization, and make the visualizations more dynamic and interactive.

One way to hire a Data visualization developer is through Lemon.io. Normally, hiring someone is not an easy feat and takes several steps: creating a list of requirements and outlining the project scope; choosing the right hiring or job board platform; preparing screening and technical interview questions; reviewing hundreds of CVs; setting up numerous calls; verifying candidates’ experience with crypto; then choosing someone and signing a contract with them.

However, Lemon.io takes care of all these cumbersome tasks for you! Describe your project and major requirements in a nutshell, and get a couple of hand-picked, pre-vetted developers who check all the boxes. You can be confident in the candidates’ soft skills and technical expertise, but you are also welcome to have a few calls with them just to make sure. Pick the right talent and get started today!

You can hire a Data visualization developer through Lemon.io in less than a week! It usually takes a day or two to find a couple of candidates who match your project’s requirements perfectly. Then, it’s all up to you and how long your selection process takes, which can be a few more days on average.

The difference between a Data engineer and a Data visualization engineer lies in how and for what purpose they manipulate Data. Look for a Data engineer if you need someone to build systems that generate, capture, store, and process Data in such a way that it makes other tech specialists’ lives easier. Look for a Data visualization engineer to turn it into its visual form (charts, graphs, and dashboards) so that Data is easy to read and understand by just anyone, technical or non-technical, helping with business decision-making.

You can learn from Glassdoor that the average annual Data visualization programmer salary is around $95K per/yr. But wages can range between $74K and $125K depending on the level of the specialist. Check which specialists are available on the Lemon.io platform, where you will only have to pay for hours worked in accordance with the chosen rate of the programmer, thus making the process of cooperation transparent and aligned for each party!

A no-risk trial period on Lemon.io is a paid trial (up to 20 hours) in case you want to have an extended evaluation, for example, to see how a developer works on real tasks before signing up for a subscription.
Also, in case your lemon.io developer misses deadlines or fails to meet expectations, we’ll match you with a new remote developer asap. Admittedly, we’ve never had to do this. But it’s our promise. Just in case.

Yes, Data visualization developers are in demand and they continue growing in popularity! The reason is simple: as companies want to stay up-to-date with all the recent trends and use their Data responsibly, they need a magician who would turn all that incomprehensible Data into a somewhat understandable visual representation. Not all those big Data and technology companies’ leaders are actual programmers; however, a great dashboard or a graph is what helps them make business decisions, thus the need for talented Data visualization developers.

No, SQL is not a Data visualization tool. If we put it simply, SQL is a language that engineers use to manage Data in relational Databases, which then provides Data for later visualization. In case a visual developer doesn’t know SQL, it won’t be a huge obstacle for them in most cases, but it is certainly beneficial to know at least some of it, as it helps with wrapping their head around the Data they are working with and creating better graphs for the team. Those who are good with SQL are also more flexible when working with common Data visualization tools like Tableau or Power BI, as those integrate with SQL.

No, Python itself is not a Data visualization tool. There are, however, many tools for Data visualization that work with Python: Matplotlib, Seaborn, and Plotly. Knowing the language would definitely be very helpful in this regard. Even though developers can opt for no-code frameworks and libraries (which can actually be a smart choice for simpler projects), in general, it gives more flexibility and control to visualization developers if they can also code, as it helps them represent Data they are working with more engagingly and dynamically.

A Data visualization project can cost anything between a couple of hundred dollars and $50k, depending on how complex the project is going to be, how much data there is, and how experienced a visualization developer you need. Generally speaking, the development of a simple graph can take only a couple of hours, thus the price is going to be <$500. However, if we are talking about the development of a whole Data visualization app, then the price can go up significantly.

The most widely used Data visualization tool currently is Tableau. Visualization developers love it because with Tableau they can build interactive dashboards for data analysis and beautiful presentations, thus visualizing and making enormous volumes of data easy to understand. Moreover, every aspect of a visualization can be controlled (colors, sizes, etc.).