Data Lake Architecture
Design and implement modern data lakes with Delta Lake, Apache Iceberg, or Hudi. Scalable storage with ACID transactions and schema evolution.
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 hrsTime to match
- Top 3%Acceptance rate
- 100+Countries
48-hour shortlist · Pre-vetted top talent · No upfront cost.
Trusted by industry leaders
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.
Apache Spark1,400+ engineers
Hadoop920+ engineers
Apache Kafka780+ engineers
Databricks650+ engineers
Scala540+ engineersPython1,800+ engineers Apache FlinkHivePrestoTrinoDelta LakeApache IcebergHDFSMapReduceYARNKubernetesEMRDataproc
Need a specialist in a specific big data platform?
Tell Us Your RequirementsSimple 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.
- 01
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
- 02
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
- 03
Start Building Together
Interview your top picks and onboard seamlessly. WorkGenius handles contracts, payments, and compliance across 100+ 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.
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.
Batch Processing Pipelines
Build high-throughput batch processing systems with Spark, Hadoop, and cloud-native services. Process terabytes to petabytes efficiently.
Real-Time Streaming
Implement streaming data platforms with Kafka, Flink, and Spark Streaming. Sub-second latency for real-time analytics and event processing.
Lakehouse Architecture
Build unified analytics platforms combining data lake flexibility with data warehouse performance. Databricks, Snowflake, or custom solutions.
Data Platform Modernization
Migrate from legacy Hadoop clusters to modern cloud-native architectures. Optimize costs while improving performance and reliability.
ML Feature Engineering
Build feature stores and ML data pipelines at scale. Prepare training data, create feature pipelines, and integrate with ML platforms.
Have a specific big data project in mind?
Discuss Your ProjectWhy 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 ExpertiseOur AI analyzes technical requirements while expert recruiters assess culture fit and soft skills.
- Pre-Vetted QualityOnly the top 3% of applicants pass our technical assessments, live interviews, and background checks.
- Enterprise ComplianceCompliant hiring in 100+ countries. We handle contracts, payments, taxes, and legal requirements.
Get Started Today
Free consultation. No commitment required.
48hrsAverage time to first match
500K+Pre-vetted engineers
98%Client satisfaction rate
100+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:
- Application Review: Resume, past projects, and scale experience
- Technical Assessment: Spark/Hadoop coding and data modeling challenges
- Live Coding Interview: Real-time problem-solving with senior data engineers
- Architecture Review: System design for petabyte-scale systems
- 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 CallRelated roles you can hire
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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.