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Hire Big Data Engineers in 48h

Unlock the power of large-scale data with thoroughly vetted big data engineers. Match.dev connects startups with experienced data specialists for part-time or full-time roles, empowering advanced analytics and efficient data pipelines.

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

How to Hire Big Data Engineers with Match.dev

Image of a software engineer behind a laptop

Image of a software engineer with a headset

Initial Assessment

Share your data challenges, preferred technologies (like Hadoop, Spark, or Kafka), and project goals. Whether you’re setting up data pipelines or analyzing massive datasets, we’ll map out the expertise you need.

Precision Matching

We curate from our network of rigorously vetted big data engineers who excel in distributed systems, data warehousing, and real-time analytics—ensuring an ideal fit for your project’s technical scope.

Quick start

Begin collaborating with your chosen big data specialist within 48–72 hours. Choose between hourly or monthly contracts to quickly kickstart your data initiatives without compromising on quality.

Find your Big Data Engineer now

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

Big Data engineers vetted
for various 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 Hire Big Data Engineers with Match.dev

Seasoned Data Professionals

Our pool of engineers brings in-depth experience with complex data ecosystems. From ETL pipelines to machine learning at scale, they’re equipped to handle any big data challenge you face.

Comprehensive Vetting

Each candidate undergoes a 10–15 hour evaluation, testing their skills in distributed computing, data modeling, and performance optimization. We ensure you only work with proven experts.

Adaptive Hiring Models

We understand every data-driven project is unique. Whether you require a short-term consultant, a part-time data guru, or a full-time engineer, we offer flexible engagement options to match your evolving needs.

Guarantee

If your matched big data engineer isn’t a perfect fit, we’ll promptly find a replacement. However, our stringent screening process means you’ll likely get the right expert the first time around.

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.