Hire Data engineers
Forget exhausting sourcing and screening the wrong candidates. Hire fast and on budget — place a request, interview 1-3 curated Data engineers, and get the best one onboarded by next Friday. Full-time or part-time, with optimal overlap.
How to hire a Data engineer through Lemon.io
Place a free request
Tell us about your needs
Interview the best
Onboard the chosen one
Testimonials
Our clients
What we do for you
Sourcing and vetting
Expert
matching
Arranging cooperation
Support and troubleshooting
Why hire Data engineers through Lemon.io?
Hiring Data engineers who get things done takes hours of sifting through Data engineers who can’t fulfill the promise of their CVs, slowing the momentum of your team. Hire Data engineers who will move the needle on your project fast with Lemon.io.
A pipeline of Data engineers
No matter what specialty you’re hiring, our pool of candidates has a Data engineer who can help you.
Vetted skills that impress
All our devs go through our four-step vetting process to ensure you get candidates you can trust.
A guarantee you can rely on
Every dev comes with our guarantee: if they don’t meet every need, we’ll match you with another for free.
FAQ about hiring Data engineers
How do I hire a Data engineer?
To hire a Senior Data engineer for a remote full-time project independently – you can use Indeed, LinkedIn, GlassDoor and other platforms. You need to create the job listing, choose the relevant websites, publish the job listings, check the CVs, and proceed with the candidates who have the skills and experience that are good for your project. Afterward, you need to make a large number of screening calls and hard skills interviews, choose the best candidate, and sign the contract with them. However, going through numerous dev resumes and profiles can be extremely time-consuming and overwhelming, as well as communication, setting up interviews, and tech tasks to find the best candidates.
If you prefer to cut the chase and focus on other tasks, Lemon.io is at your service. We will select for you 2-3 vetted candidates who meet all your requirements in 48 hours.
How much does it cost to hire a Data engineer?
The cost to hire a Data engineer as an in-house worker and as an independent contractor is different. The base pay for hiring a Senior Data engineer for a direct hire in the US, San Jose, ranges from $142K – $179K, according to GlassDoor. The additional pay is $44K – $82K per year.
Are Data engineers hard to find?
Yes, it can sometimes be difficult to find a Senior Data engineer. If you are seeking a specialist with specific skills and experience, it can be challenging to find the right candidate.
Additionally, there is significant competition among companies for high-skilled specialists because the supply of qualified Data engineers is smaller than the demand in this industry. This is caused by the long education process required to become a Data engineer; individuals typically need to acquire various certifications and possess a broad range of knowledge. Using the right sources and platforms can make the hiring process more comfortable.
What are the best certifications for Data engineers?
The best certifications for Data engineers are Cloudera Certified Professional (CCP) Data Engineer, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate (DP-203), AWS Certified Big Data – Specialty, IBM Certified Data Engineer – Big Data, Databricks Certified Professional Data Engineer, SAS Certified Big Data Professional, Oracle Certified Professional: Big Data Engineer.
What is the hourly rate for Data engineers?
The average hourly rate for a Senior Data engineer’s contract in San Jose, US, ranges from $70 to $89, according to GlassDoor. The rate depends on various factors: seniority level, skill sets, and number of years of experience.
Are Data engineers still in demand?
Yes, Data engineers are in demand. Currently, it’s one of the most popular requests in different fields: technology and IT, healthcare and pharmaceuticals, finance and banking, e-commerce and retail, telecommunications, manufacturing, marketing and advertising, energy and utilities, government and public sector, entertainment, and media.
Businesses are constantly generating data, and they need skilled professionals to wrangle it all. Data engineers are the wranglers – building the systems that collect, store, and analyze this information. As companies become increasingly reliant on data to make decisions, the demand for Data engineers only intensifies.
How quickly can I hire a Data engineer through Lemon.io?
You can hire a Data engineer through Lemon.io in 48 hours. It’s possible because Lemon.io is a marketplace with a pre-screened community of Data engineers. All of these developers have already passed our vetting process, which includes VideoAsk, completion of their me.lemon profile, a screening call with our recruiters that includes various technical questions, and a technical interview with our developers. The main benefit is not only a fast and comfortable hiring process – we will also connect you with the best Data engineers in the industry because only 1% of the applicants can join the community.
How does the no-risk trial period work for new clients?
Lemon.io offers a no-risk paid trial period for new clients if needed. This period can be up to 20 hours, allowing you to check how the Data engineer works on your tasks before signing up for a subscription.
If something goes wrong and the Data engineer fails to meet expectations, we’ll show you another remote Data engineer with our zero-risk replacement guarantee.
Q&A about hiring Data analysis developers
- How do Data Analysts handle large datasets and Big Data?
- What are the 5 ways to analyze data?
- How do Data Analysts ensure Data Privacy and security during analysis?
- How do Data Engineers handle real-time data streaming?
- What are the key responsibilities of a Data Engineer?
- What are the 4 types of Data Analysis?
- What are the best practices for cleaning and preprocessing data?
- How do Data Analysts choose the right Data Visualization techniques?
- What are the 4 main categories of data?
- How to explain Data Analysis?
- How do Data Engineers collaborate with Data Scientists and Analysts?
- What tools and technologies are essential for Data Engineering?
- How do Data Analysts ensure the accuracy and reliability of their findings?
- What role do Data Engineers play in the implementation of big data solutions?
- How do Data Engineers approach data integration from multiple sources?
Why hire Data engineers for remote work?
Traditional hiring is slow, cumbersome, and eats up your time. It handcuffs you to interviews and CVs until you’re back up to full strength. Free your startup from the constraints of traditional hiring by leveraging remote workers.
Save money
Leverage differences in the global economy to find a dev whose skills and pay expectations meet your needs.
Access skills
When you extend your talent search beyond your city, you gain access to a talent pool deeper than the ocean.
Stay agile
Remote contractors allow you to expand your team to quickly meet demand while keeping your team lean when work calms down.
Decrease overhead
Every in-person hire requires another desk, another computer, and another place to work. Hire a remote and skip the office costs.