1,800+ Big Data Engineers Available

Find a Big Data
Engineer

Hire pre-vetted Hadoop, Spark, and data lake architects for petabyte-scale data processing in as little as 48 hours. Enterprise-grade talent matching powered by AI + human expertise.

48 hrs
Time to match
Top 3%
Acceptance rate
150+
Countries

Trusted by industry leaders

Amazon Adobe Uber Bloomberg Boeing Coca-Cola
Big Data Stack

Every Framework. Petabyte Scale.
One Network.

Access engineers skilled in the complete big data ecosystem — from batch processing to real-time streaming and modern lakehouse architectures.

S

Apache Spark

1,400+ engineers

H

Hadoop

920+ engineers

K

Apache Kafka

780+ engineers

DB

Databricks

650+ engineers

Sc

Scala

540+ engineers

Python

1,800+ engineers

Apache Flink Hive Presto Trino Delta Lake Apache Iceberg HDFS MapReduce YARN Kubernetes EMR Dataproc

Need a specialist in a specific big data platform?

Tell Us Your Requirements
Simple Process

How to Find Your Big Data Engineer

From requirements to matched talent in as little as 48 hours. Our AI + human approach ensures you get exactly the right fit.

1

Share Your Requirements

Tell us about your big data needs — data volumes, processing requirements, tech stack, and timeline. Our AI analyzes your requirements against 500K+ engineer profiles.

  • Platform & stack matching
  • Scale & volume considerations
  • Timezone & availability
2

Review Matched Candidates

Within 48 hours, receive a curated shortlist of pre-vetted big data engineers. Each candidate includes detailed profiles, architecture case studies, and verified reviews.

  • 3-5 matched candidates
  • Video introductions
  • Scale & performance case studies
3

Start Building Together

Interview your top picks and onboard seamlessly. WorkGenius handles contracts, payments, and compliance across 150+ countries so you can focus on your data platform.

  • Compliant contracts
  • Global payments handled
  • Ongoing support

Ready to find your big data engineer?

Schedule a free consultation and get matched within 48 hours.

Schedule a Call
Big Data Projects

What Can Big Data Engineers Build?

From data lakes to real-time analytics, our engineers deliver production-ready big data infrastructure at any scale.

Data Lake Architecture

Design and implement modern data lakes with Delta Lake, Apache Iceberg, or Hudi. Scalable storage with ACID transactions and schema evolution.

Delta LakeIcebergS3

Batch Processing Pipelines

Build high-throughput batch processing systems with Spark, Hadoop, and cloud-native services. Process terabytes to petabytes efficiently.

SparkHadoopEMR

Real-Time Streaming

Implement streaming data platforms with Kafka, Flink, and Spark Streaming. Sub-second latency for real-time analytics and event processing.

KafkaFlinkKinesis

Lakehouse Architecture

Build unified analytics platforms combining data lake flexibility with data warehouse performance. Databricks, Snowflake, or custom solutions.

DatabricksDelta LakeUnity Catalog

Data Platform Modernization

Migrate from legacy Hadoop clusters to modern cloud-native architectures. Optimize costs while improving performance and reliability.

Cloud MigrationCost OptimizationModernization

ML Feature Engineering

Build feature stores and ML data pipelines at scale. Prepare training data, create feature pipelines, and integrate with ML platforms.

Feature StoreMLOpsSpark ML

Have a specific big data project in mind?

Discuss Your Project
Why WorkGenius

Not Just Another
Freelance Marketplace

Traditional platforms give you thousands of profiles to sift through. WorkGenius gives you 3-5 perfect matches — pre-vetted engineers who fit your exact needs.

AI + Human Expertise

Our AI analyzes technical requirements while expert recruiters assess culture fit and soft skills.

Pre-Vetted Quality

Only the top 3% of applicants pass our technical assessments, live interviews, and background checks.

Enterprise Compliance

Compliant hiring in 150+ countries. We handle contracts, payments, taxes, and legal requirements.

Get Started Today

Free consultation. No commitment required.

48hrs
Average time to first match
500K+
Pre-vetted engineers
98%
Client satisfaction rate
150+
Countries supported
Common Questions

Big Data Engineer Hiring FAQ

How quickly can I hire a big data engineer?

With WorkGenius, you can receive matched big data engineer candidates within 48 hours. Our AI-powered matching combined with human expertise ensures you get pre-vetted talent that matches your exact requirements. From initial consultation to engineer onboarding, most clients complete the hiring process within 1-2 weeks.

What big data technologies do your engineers specialize in?

Our network includes 1,800+ pre-vetted big data engineers specializing in:

  • Processing: Apache Spark, Hadoop MapReduce, Apache Flink
  • Storage: HDFS, S3, Azure Data Lake, GCS
  • Streaming: Apache Kafka, Kinesis, Pub/Sub, Event Hubs
  • Lakehouse: Databricks, Delta Lake, Apache Iceberg, Hudi
  • Query Engines: Presto, Trino, Hive, SparkSQL
  • Languages: Scala, Python, Java, SQL

How are big data engineers vetted?

Every engineer goes through a rigorous multi-step vetting process:

  1. Application Review: Resume, past projects, and scale experience
  2. Technical Assessment: Spark/Hadoop coding and data modeling challenges
  3. Live Coding Interview: Real-time problem-solving with senior data engineers
  4. Architecture Review: System design for petabyte-scale systems
  5. Background Verification: Identity and professional reference checks

Only the top 3% of applicants make it into our network.

What does it cost to hire a big data engineer?

Rates vary based on experience level, specialization, and location. Typical ranges:

  • Junior Big Data Engineer: $50-80/hour
  • Mid-Level Big Data Engineer: $80-130/hour
  • Senior Big Data Engineer: $130-180/hour
  • Data Platform Architect: $180-250+/hour

WorkGenius provides transparent pricing with no hidden fees. We handle all payments, taxes, and compliance.

Can big data engineers work with our existing cloud platform?

Absolutely. Our big data engineers have deep experience across all major clouds:

  • AWS: EMR, Glue, Kinesis, Athena, Redshift, Lake Formation
  • Azure: HDInsight, Synapse, Data Lake, Event Hubs, Databricks
  • Google Cloud: Dataproc, BigQuery, Dataflow, Pub/Sub, Composer
  • Multi-Cloud: Databricks, Snowflake, Confluent, Starburst

We match engineers based on your specific cloud environment and existing architecture.

What if the big data engineer isn't the right fit?

We stand behind our matching quality with a replacement guarantee. If an engineer doesn't meet your expectations within the first two weeks, we'll provide a replacement at no additional cost. Our 98% client satisfaction rate reflects our commitment to finding the right fit the first time.

Still have questions? Let's talk.

Schedule a Call
Start Hiring Today

Find Your Perfect
Big Data Engineer

Join 500+ companies that trust WorkGenius for their big data needs. Get matched with pre-vetted Spark, Hadoop, and data lake experts in 48 hours.

No commitment required. Free consultation included.