Hire data engineers for pipelines your reports can trust

When the dashboard and the finance spreadsheet disagree, the problem is usually the pipeline. Cubehire data engineers build reliable ingestion, transformation and warehouse models with tests and documentation, so every team reads the same numbers.

Hire Data Engineers How we vet them
The work

What our Data Engineers build

Typical projects companies bring a data engineer in for.

1

Data pipelines and ETL

Scheduled and streaming ingestion from apps, SaaS tools and files into one warehouse.

2

Data warehouses

Snowflake, BigQuery or Redshift models designed for fast, consistent reporting.

3

dbt transformation layers

Tested, documented SQL models that analysts can understand and extend.

4

Data quality monitoring

Freshness, volume and schema checks that alert before a broken report is shared.

Skills

Skills we test every data engineer on

  • SQL
  • Python
  • dbt
  • Apache Airflow
  • Snowflake
  • BigQuery
  • Databricks and Spark
  • Fivetran or Airbyte
  • Kafka
  • Data modeling
  • Data quality testing
  • AWS or GCP data services
Vetting

How we vet Data Engineers

Every data engineer sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Designs a pipeline that handles late, duplicate and changing source data in the written round.

  2. Check 2

    Writes SQL for a real reporting problem, graded on correctness and efficiency.

  3. Check 3

    Explains dimensional modeling and how they would document a model for analysts.

Available now

Vetted Data Engineers in the network

Each profile carries a scored AI interview and a human review.

See the whole network

NABEEL KHAN GHAURI

Lead Data Engineer

13+ Years Heuristiks Technologies

AI interview grade, out of 10: 6.4

Lead Data Engineer with 13+ years of experience designing enterprise-scale data platforms and analytics solutions. Combines deepexpertise in data architecture, analytics engineering, and AI-powered applications to...

Skills

SQL / T-SQL PostgreSQL Python / PySpark SSIS dbt Apache Iceberg / Parquet +11 more
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring Data Engineers

Questions about hiring Data Engineers

What companies ask before they hire a data engineer through Cubehire.

Talk to our team
Data engineers build and maintain the pipelines and warehouses that hold clean data. Data scientists analyze that data and build models. Without good data engineering, data science work stalls.
Yes. A typical setup is an ingestion tool, a cloud warehouse, dbt for transformations, an orchestrator and a BI tool, sized to your data volume and budget.
Yes. Kafka, Kinesis and Spark Structured Streaming are used for real time use cases like event tracking and fraud signals.
They prepare the data behind dashboards. For building the reports themselves, see our data analysts and Power BI developers.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

Related roles

Teams hiring Data Engineers also hire

Data & Databases Hire Data Scientists A good data scientist answers the business question first and reaches for machine learning only when it helps.... Data & Databases Hire Data Analysts Most companies have more data than questions answered. Cubehire data analysts write the SQL, build the dashboa... Data & Databases Hire Database Developers When pages time out, the database is usually where the time goes. Cubehire database developers design schemas,... Backend Engineering Hire Python Developers Python runs web backends, data pipelines, automation scripts and nearly every AI stack. Cubehire Python develo...

Ready to hire a data engineer?

Tell us the stack and the work. You get matched, interview scored Data Engineers within 48 hours.

Hire Data Engineers Book a call