Hire Data Engineers

– Because Numbers Count

You don’t just need data- you need pipelines, structure, and real-time access.
Data is only useful if it flows reliably. Our data engineers architect the pipelines, lakes, and warehouses that fuel your analytics, AI, and business intelligence. At Ayruz, we deliver talent that turns fragmented datasets into decision-ready systems.
Hire expert data engineers starting at $1,400/month.
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Data Engineering Talent to Build What You Need

Junior Data Engineers

  • 2–3 years experience
  • ETL pipelines, SQL optimization, basic data modeling
  • Tools: Python, Airflow, dbt, PostgreSQL
  • Starts at $16/hour

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Junior Data Engineers

Senior Data Engineers

  • 5–7 years experience
  • Lakehouse design, streaming data, orchestration, lineage
  • Tools: Spark, Kafka, Snowflake, Redshift, dbt, Airflow
  • Starts at $22/hour

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 Senior Data Engineers

Data Architects

  • 8–12 years experience
  • End-to-end data architecture, warehouse design, compliance-aware structures
  • Azure Synapse, BigQuery, Glue, S3, Iceberg, Delta Lake
  • Starts at $30/hour

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Data Architects

Build a Data Engineering Team

Need more than one role? Combine engineers, architects, analytics leads, and DevOps to create a full data team.

Hire a Data Team

Let Us Build Your Data Platform

From ingestion to warehouse to dashboards- we can deliver your entire data stack.

Get a Data Stack Quote

Drowning in Data, But Starving for Insights?

Our data engineers build pipelines and lakes that turn raw data into reliable analytics.

Where Our Engineers Deliver Excellence

Use Case What We Deliver
Batch ETL Pipelines Reliable ingestion using Airflow, dbt, Glue, or Dataflow
Real-Time Streaming Kafka/Redpanda pipelines for event-based processing
Cloud Warehousing Snowflake, Redshift, BigQuery, Databricks setup & tuning
Data Lakes Cost-optimized lakehouse structures using Iceberg/Delta Lake
Analytics Readiness dbt modeling, lineage, freshness alerts
Data Governance PII tagging, role-based access control, audit-ready design

Why Teams Choose Ayruz

🔹 End-to-end implementation of modern data stacks
🔹 Built-in governance & compliance alignment
🔹 Performance-focused: optimize costs, latency, and storage
🔹 Well-documented pipelines and handoff materials
🔹 Onboarding, scaling, and cross-team collaboration support

See How We Work

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“Ayruz took our fragmented data and turned it into a platform every team could trust.”

Frameworks, Tools & Integrations

Languages

Python
SQL
Scala
Bash

Pipelines & Orchestration

Airflow
Dagster
Prefect
dbt
NiFi

Stream Processing

Kafka
Redpanda
Kinesis
Flink

Warehouses

Snowflake
Redshift
BigQuery
Azure Synapse

Data Lakes

S3
Delta Lake
Apache Iceberg
Hudi

Monitoring & Governance

Great Expectations
Soda
Monte Carlo
Immuta
Alation

Before You Hire: What to Know

Don’t just move data. Structure it, monitor it, and trust it.

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  • Data engineers ≠ analysts. Hire builders, not just query writers
  • Ensure they understand orchestration, not just ingestion
  • Ask for experience handling schema drift, late-arriving data, and partitioning
  • Ayruz engineers stay longer: 6+ years vs 1.5 industry average
We’re here to be transparent. Ask us anything—from onboarding to billing. We build long-term relationships, not just teams.
Speak with a Technical Consultant

Why Data Engineering Now?

Challenge Why It Matters
Data Silos Missed insights and duplicated effort
Manual Pipelines Error-prone, non-scalable workflows
Lack of Governance Compliance risks and access chaos
Latency Minutes lost = insights missed
AI-Readiness Structured data fuels every intelligent system

Real Results from Real Clients

“Ayruz gave us 98% pipeline reliability and full auditability across 300+ daily jobs.”
Mark Bennett
CDO, FinTech
“They built our end-to-end Snowflake warehouse in 6 weeks- fully orchestrated and documented.”
Daniel Carter
VP Data, SaaS

Drowning in Data, But Starving for Insights?

Our data engineers build pipelines and lakes that turn raw data into reliable analytics.

Frequently Asked Questions

Can you help migrate from legacy data systems?
Absolutely- we handle extraction, transformation, and replatforming.
Do your engineers work with our analytics and AI teams?
Yes- our data engineers collaborate across all layers.
Can you build real-time dashboards?
Yes. We can also power Looker, Power BI, or Tableau with curated models.
Can you manage and monitor pipelines post-launch?
We offer ongoing support or handoff with complete observability built in.

Let’s Build What’s Next. Together.

Start with a Free Consultation