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Hire Big Data Engineer in 48 Hours

Volume spikes and the pipeline falls over. We match senior Spark, Kafka, and Flink engineers, $50-80/hr, screened on a 10-hour paid build at realistic volume.

Get candidates in 48h

Takes 2 minutes · No fee until you hire

Trusted by teams at

$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

$80/hr

Jake T.

Big Data Specialist from Canada

Hadoop

Spark

Kubernetes

Hire

$55/hr

Zofia G.

AI Data Scientist from Poland

TensorFlow

GCP

SQL

Deep Learning

Hire

$50-80/hr

No fee until hire

Free Replacement

Americas & Europe

How to Hire Big Data Engineer with Match.dev

(01)

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.

(02)

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.

(03)

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.

Hire developers

Takes 2 minutes · No fee until you hire

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

(match.dev) vs Upwork

Matching time

48 hours

1 hour – 4 weeks

Pricing

$50-80/hr, no pre-payment

$10-100/hr

Dev quality

Very high, thorough vetting

Varies (no vetting)

Flexibility

Part-time & full-time

Short gigs

(match.dev) vs Toptal

Matching time

48 hours

48–72 hours

Pricing

$50-80/hr, no pre-payment

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

Dev quality

Very high, thorough vetting

High

Flexibility

Part-time & full-time

Part-time

(match.dev) vs Recruiters

Matching time

48 hours

2 weeks – 3 months

Pricing

$50-80/hr, no pre-payment

20-30% of annual salary

Dev quality

Very high, thorough vetting

Varies by recruiter

Flexibility

Part-time & full-time

Full-time only

Match.dev vs Others

(match.dev)

Upwork

Toptal

Recruiters

Matching time

48 - 72 hours

1 hour – 4 weeks

48–72 hours

2 weeks – 3 months

Pricing

$50-80/hr, no pre-payment

$10-100/hr

$90-200/hr, $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

Hire developers

First profiles in 48 hours · No fee until you hire

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-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.

What our clients say

Hire developers

First profiles in 48 hours · No fee until you hire

Why hire big data engineers through Match.dev?

Big data projects demand engineers who understand distributed systems, data modeling, and real-time processing at scale. Our vetted big data developers bring hands-on experience with Hadoop, Apache Spark, Kafka, Flink, and cloud-native data services on AWS, GCP, and Azure. They build reliable ETL pipelines, design data warehouses, and implement machine learning workflows that turn raw data into business insights.

Match.dev's 10-hour paid vetting process ensures every big data engineer in our network has proven experience with production-scale data systems. From startups building their first analytics platform to companies migrating legacy data infrastructure, our engineers integrate seamlessly with your team. Start with as few as 10 hours per week, scale up anytime, and replace at no cost if the fit isn't right.

FAQ — Hiring Big Data Engineers

How much does it cost to hire a Big Data engineer in 2026?

Senior Big Data engineers typically cost $80–150/hr or more through traditional agencies and vetted networks. Match.dev publishes a flat $50–80/hr for senior, vetted engineers — with no upfront fees, first candidates within 48 hours, and a $150 credit for attending the intro call. You only pay once you hire, and every engineer has passed a 10-hour paid assessment on a real project.

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.

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

Free 30-min intro call · $150 credit for attending

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

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Hire Big Data Engineer in 48 Hours

How to Hire Big Data Engineer with Match.dev

Find your Big Data Engineer

Match.dev vs Others