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Data

Hire Data Developers

Hire data engineers from Codazz — pre-vetted pipeline and warehouse specialists, matched within 48 hours. NDA from day one, timezone-aligned, Airflow, dbt and Spark expertise.

30+
Data Engineers
7+ Yrs
Avg Experience
90+
Data Pipelines Built
48hrs
Start Time
Hire Data DevelopersView Profiles

Get Your Custom Project Plan

Share your project details — a senior engineer responds within 4 hours.

🔒NDA Protected
⚡24hr Response
💬Free Consultation
Why Codazz

Why Hire Data
Developers From Us.

✅

Vetted Data Experts

Every data engineer passes our 5-stage vetting: ETL pipeline design challenge, data modeling assessment, live pair programming with Spark/Airflow, culture fit, and reference checks. Only the top 3% qualify.

🌍

Timezone-Aligned

Our data engineers work in your timezone. Whether you are in New York, San Francisco, London, or Dubai, your engineer is online when you are.

🔒

NDA From Day 1

Your data assets and business intelligence are protected before any discussion begins. Enforceable NDAs and data protection agreements are standard on every engagement.

⚡

Petabyte-Scale Pipelines

Our data engineers build reliable, cost-efficient pipelines that handle terabytes to petabytes of data daily. Expertise in batch processing, real-time streaming, and hybrid architectures.

💰

40-60% Cost Savings

Get senior data engineers at a fraction of US in-house costs. No recruitment fees, no benefits overhead, no office space required.

🔄

Seamless Integration

Your data engineer integrates into your existing tools — GitHub, Jira, Slack, dbt Cloud, Airflow. They follow your data governance standards and workflows from day one.

Available Talent

Meet Our
Data Developers.

D1

Senior Data Pipeline Engineer

8 years experience
35+ data pipelines in production
PythonSparkAirflowSnowflakedbtAWS
Available Now
D2

Data Platform Architect

10 years experience
Led data teams of 8-15 engineers
Data ModelingLakehouseDatabricksDelta LakeKafkaTerraform
Available Now
D3

Real-Time Streaming Engineer

7 years experience
20+ real-time pipelines built
KafkaFlinkSpark StreamingKinesisRedisClickHouse
Available in 1 week
D4

Analytics & BI Engineer

6 years experience
25+ analytics platforms deployed
SQLdbtLookerBigQueryMetabasePython
Available Now
Engagement Models

Flexible Hiring
Models.

Most Popular

Full-Time Dedicated

40 hrs/week

A developer works exclusively on your project, fully embedded in your team and processes.

  • Dedicated resource
  • Daily standups
  • Sprint planning
  • Direct Slack/Teams access
Budget-Friendly

Part-Time Flexible

20 hrs/week

Consistent senior support without the full-time commitment. Ideal for startups and scaling teams.

  • Flexible scheduling
  • Async communication
  • Weekly sync calls
  • Progress reports
Enterprise

Team Augmentation

2-10 devs

Extend your existing engineering team with multiple developers who integrate into your workflow.

  • Team lead included
  • CI/CD integration
  • Code review process
  • Knowledge transfer
Defined Budget

Project-Based

Fixed Scope

A dedicated team for a defined project with clear milestones, timeline, and deliverables.

  • Fixed-price quote
  • Milestone payments
  • Project manager
  • Warranty included
Tech Expertise

Data
Tech Stack.

Processing Engines

Apache SparkApache FlinkApache BeamDatabricksPandasPolars

Orchestration

Apache AirflowDagsterPrefectdbtLuigiMage

Data Warehousing

SnowflakeBigQueryRedshiftClickHouseDelta LakeApache Iceberg

Streaming

Apache KafkaKinesisFlinkSpark StreamingPulsarRedis Streams

Cloud Platforms

AWS (S3, Glue, EMR)GCP (Dataflow, Pub/Sub)Azure (Synapse)DatabricksTerraformDocker

BI & Analytics

LookerTableauMetabaseSupersetPower BIJupyter
Hiring Process

4 Simple Steps
To Your Team.

01

Share Requirements

Day 1

Tell us about your project, tech stack, and the type of developer you need. We will match you with the best-fit candidates from our vetted talent pool.

02

Interview Developers

Day 1-2

Interview pre-screened developers who match your requirements. Evaluate technical skills, communication, and culture fit on your own terms.

03

Onboard & Integrate

Day 2-3

Your selected developer signs the NDA, gets access to your tools, and joins your team channels. We handle all the logistics.

04

Start Building

Day 3+

Your developer is fully operational — writing code, attending standups, and shipping features. We provide ongoing support and performance management.

FAQ

Common
Questions.

You can interview pre-matched data engineers within 24 hours of sharing your requirements. Onboarding typically completes within 48 hours, so your new engineer can start building data pipelines immediately.

Our data engineers have a minimum of 4 years of professional experience building production data pipelines. Most have 6-10+ years with Spark, Airflow, Snowflake, and modern data stack tools.

Yes. We have data engineers across multiple time zones who can align with US, European, Middle Eastern, and APAC business hours. Your engineer will be online during your working hours.

Rates depend on seniority, the depth of data engineering specialization you need, and whether the engagement is full-time, part-time, or team augmentation. Pricing is scoped to the specific role and engagement model once we understand your requirements, with no hidden fees, recruitment charges, or long-term lock-in.

Our data engineers specialize in the modern data stack: Apache Spark, Airflow, dbt, Snowflake, BigQuery, Kafka, Databricks, and cloud-native data services on AWS, GCP, and Azure.

Yes. Our engagement models are fully flexible. Add more data engineers as your data needs grow or scale down when a milestone is complete. No long-term contracts required.

Ready to Hire Data Developers?

Share your requirements. We will match you with pre-vetted data developers within 24 hours.

Get Your Custom Project Plan

Share your project details — a senior engineer responds within 4 hours.

🔒NDA Protected
⚡24hr Response
💬Free Consultation