Preferences

Privacy is important to us, so you have the option of disabling certain types of storage that may not be necessary for the basic functioning of the website. Blocking categories may impact your experience on the website. More information

Thank you! Your submission has been received!

Oops! Something went wrong while submitting the form.

Hire top Big Data Engineers in 48h

We match startups with thoroughly vetted Big Data engineers for part-time and full-time roles

Hire developers

$65/hr

Damian R.

Big Data Architect from Uruguay

AWS Glue

Redshift

Spark

Python

Hire

$60/hr

Santiago V.

ML Engineer from Argentina

Python

TensorFlow

Data Analysis

Hire

$85/hr

Jake T.

Big Data Specialist from Canada

Hadoop

Spark

Kubernetes

Hire

$45/hr

Zofia G.

AI Data Scientist from Poland

TensorFlow

GCP

SQL

Deep Learning

Hire

Our matching process

Image of a software engineer behind a laptop

Image of a software engineer with a headset

Discovery call

Fill in the form and schedule a call. We'll get to know your product and what talent you are looking for

Intro

Based on the insights gathered about your company, project, tech stack, and culture, we'll introduce you to a hand-picked, thoroughly-vetted developer

Quick start

Begin working with your matched Big Data engineers right away through an hourly or monthly contract

Hire a developer

Find your Big Data Engineer

$80/hr

Stefano P.

Real-Time Processing Specialist, Italy

Apache Storm

Kafka

Python

Hire

$60/hr

Maria P.

Data Scientist from Argentina

Python

SQL

Tableau

Hire

$75/hr

Federico C.

Streaming Data Engineer, Argentina

Kafka

Flink

Python

AWS

Hire

$70/hr

Charles L.

Senior Data Scientist from Canada

TensorFlow

SQL

PowerBI

AWS

Hire

$60/hr

Catherine L.

AI Research Engineer from Singapore

TensorFlow

Keras

Hugging Face

Hire

$55/hr

Gabriel S.

Big Data Engineer from Chile

Python

TensorFlow

Data Pipelines

Hire

$70/hr

Petar A.

AI Software Developer from Serbia

Machine Learning

TensorFlow

Flask

Hire

Get more Big Data profiles

Developers vetted for various
Big Data skillsets

Python

TensorFlow

PyTorch

FastAPI

Natural Language Processing

Deep Learning

Scikit-Learn

Keras

Hugging Face

OpenAI GPT APIs

Reinforcement Learning

Computer Vision

Google Cloud AI

AWS SageMaker

Azure ML

Transformers

Data Analysis

BigQuery

XGBoost

Pandas

+ more

Match.dev vs others

(match.dev)

Upwork

Toptal

Recruiters

Matching time

48 - 72 hours

1 hour - 4 weeks

48h-72h

2 weeks - 3 months

Pricing

$50-80/hour, no pre-payment

$10-100/hour

$90-200/hour, $500 pre-payment

20-30% of developer's annual salary

Dev quality

Very high. Thorough vetting process

Varies (no vetting)

High

Varies (depends on recruiter)

Flexibility

Part-time & full-time

Short gigs

Part-time

Full-time only

Why (match.dev)

Honest humans

We are builders and software developers with strong technical networks. We do our best to understand your requirements and hand-pick the best fit in our community. No AI, no BS

Thorough vetting

We only match with Big Data engineers we would work with ourselves. All developers go through 10-15 hours of paid vetting. This ensures that talent quality is better than on any other platform

Any commitment

We are flexible and can help to find the right setup for you. Our smallest projects start from 10 hours while we can also help in scaling your in-house team

Replacement warranty

If you are not happy with your matched developer, we guarantee a swift replacement, minimizing disruptions. Fortunately we never have to do this though.

Meet the founder

Kirill Gorokhov

CEO & Founder

“Finding a great engineer for your team isn't easy. Recruiters are expensive, UpWork is inconsistent.

That's where Match.dev comes in. We only match you with developers we would work with ourselves.

Whether you need someone to revamp your website, build that app you've been dreaming about, or tackle some backend magic, we've got you covered.”

Let’s talk

Frequently asked questions

What does a Big Data engineer do?

A Big Data engineer designs, builds, and manages systems that process and analyze large datasets. They develop data pipelines, ensure efficient data storage, and use tools like Hadoop, Spark, and Kafka to handle massive data volumes. Big Data engineers enable organizations to make data-driven decisions by ensuring high performance, scalability, and reliability of data infrastructure.

Why hire Big Data engineers through Match.dev?

Match.dev connects you with vetted Big Data engineers who specialize in building robust data pipelines, optimizing data infrastructure, and integrating cutting-edge tools for big data processing. Whether you need expertise in Apache Spark, Kafka, or cloud-based solutions like AWS and GCP, we ensure a perfect match for your project needs.

What tools and technologies do Big Data engineers use?

Big Data engineers commonly use tools like Apache Hadoop, Spark, Kafka, and Flink for data processing. For storage, they work with NoSQL databases such as MongoDB and Cassandra, as well as cloud solutions like AWS S3 and Google BigQuery. They also use programming languages like Python, Scala, and SQL to build and manage data pipelines.

Can I hire offshore Big Data engineers through Match.dev?

Yes, Match.dev specializes in connecting you with offshore Big Data engineers from around the world. Offshore hiring allows you to access top talent at competitive rates, ensuring high-quality work and seamless collaboration regardless of location.

What’s the difference between a Big Data engineer and a Data Scientist?

A Big Data engineer focuses on building and managing data infrastructure, pipelines, and large-scale storage systems. They handle the backend systems that allow data scientists to analyze data. Data scientists, on the other hand, focus on deriving insights from data through statistical analysis, machine learning, and visualization.