Hire Data Engineers in 48 Hours

First candidate CV in 24 hours. Replacement in 7 days, no questions asked. Pre-vetted Data engineers who ship production code, not résumés.

24 hrs

First CV

48 hrs

Onboard

7 days

Replacement

100%

Pre-vetted

Hire a Data developer Estimate your cost

SquadXP helps data and analytics teams hire pre-vetted data engineers on demand. Every engineer is tested for SQL depth, modern data-stack tooling (dbt, Airflow, Snowflake, Databricks), and production data pipeline experience before we send you a CV.

Reviewed by the SquadXP Talent Team•Last updated April 29, 2026•Based on 2,400+ placements across 40+ countries

How to hire Data developers in 4 steps

Step 1
Share your requirement
Tell us the stack, seniority, timezone overlap, and the problem you're solving. A 20-minute call is usually enough.
Step 2
Get shortlisted CVs in 24 hours
We send 2–4 pre-vetted engineers matched to your brief — with portfolios, test scores, and availability.
Step 3
Interview your shortlist
Technical interview on your process. We can add a paid trial task if you prefer.
Step 4
Onboard in 48 hours
Once you pick a hire, we handle contract, NDA, payroll and compliance. You get a 7-day replacement window, no questions asked.

What does a data engineer do?

A data engineer builds and operates the pipelines, warehouses, and transformations that make data usable for analytics, ML, and product features. That includes ingestion (Fivetran, Airbyte, custom CDC), orchestration (Airflow, Dagster, Prefect), transformation (dbt, Spark), storage and compute (Snowflake, BigQuery, Databricks), and quality (Great Expectations, dbt tests).

Why dedicated data-engineering talent matters now

•Reliable data pipelines are a prerequisite for anything AI — garbage in, garbage out.
•Modern data stack (dbt + warehouse + orchestrator) is a different discipline from analytics or SWE.
•Data platforms drive increasingly large cloud bills — tuning compute and storage pays off fast.
•Compliance (GDPR, SOC 2) requires lineage, access controls, and retention engineers design in.
•Real-time and event-driven data is moving from nice-to-have to table stakes.

Skills to look for when you hire data engineers

SQL depth

Window functions, CTEs, optimisation, query plans — not just basic SELECTs.

Warehouse experience

Production work on Snowflake, BigQuery, Redshift, or Databricks SQL.

dbt

Models, tests, snapshots, macros, and exposures — with opinionated layering.

Orchestration

Airflow, Dagster, or Prefect; knows retry, backfill, and SLA patterns.

Python / Spark

Production pipelines in PySpark or pandas; batch and streaming.

Streaming

Kafka, Kinesis, Flink, or Spark Structured Streaming when the use case demands it.

Data quality

Great Expectations, dbt tests, contracts, and alerting.

Governance

Access control, PII handling, lineage, cost attribution.

How much does it cost to hire a Data developer?

Hourly rates vary by region and seniority. Below are typical market ranges (USD/GBP/EUR hourly rates). SquadXP's live cost calculator gives you a tailored estimate based on your requirement.

Region	Junior	Mid-level	Senior
United States	$60–$95/hr	$95–$140/hr	$140–$220/hr
United Kingdom	£50–£75/hr	£75–£110/hr	£110–£170/hr
Western Europe	€50–€80/hr	€80–€115/hr	€115–€170/hr
India / Offshore	$25–$40/hr	$40–$65/hr	$65–$100/hr

Interview questions to ask Data developers

Walk me through a data pipeline you own — source to consumption.
How do you decide when to push logic into dbt vs a transformation service?
Explain how you'd model slowly-changing dimensions in Snowflake.
How do you handle late-arriving data in a daily pipeline?
What's your approach to backfills without blowing up warehouse credits?
How do you test data — row-level, contract, or volume checks?
Describe how you'd migrate from Redshift to Snowflake (or similar).
How do you structure a dbt project for a team of 10?
When would you reach for streaming over batch?
Describe a cost spike you resolved on a warehouse or cluster.

Frequently asked questions

How fast can I hire a Data developer through SquadXP?▾

You'll get the first pre-vetted candidate CV within 24 hours of the intake call. Most clients finalise a Data hire within 48 hours and onboard within the same week.

What if the first hire doesn't work out?▾

You have a 7-day replacement window, no questions asked. We'll start sending replacements the moment you flag it — no invoices, no friction.

Can I hire Data developers across US, UK and EU timezones?▾

Yes. Our network spans multiple regions, so we can match any timezone overlap requirement — from full US hours to split UK/EU coverage.

Is this contract, full-time, or project-based?▾

All three. We support short-term projects, long-term contracts, and contract-to-hire. Most clients start with a 3-month engagement and extend.

Do you handle payroll, compliance, and NDAs?▾

Yes. SquadXP handles contracts, NDAs, payroll, tax compliance, and invoicing. You get a single monthly invoice and don't have to manage any local entity.

How do you protect IP and sensitive data?▾

Standard NDAs are in place before any candidate sees your brief. We follow NDA, HIPAA-aligned, and ISO 27001 processes. All engineers work on dedicated, encrypted machines.

Can SquadXP build a full Data team, not just one hire?▾

Yes. If you need a team (Data engineers + supporting roles like DevOps or QA), we source as a unit, including a team lead, and onboard them together.

Do your data engineers work with Snowflake and dbt specifically?▾

Yes. Most of our data bench runs on Snowflake or BigQuery with dbt as the transformation layer, plus Airflow or Dagster for orchestration.

Can you supply ML engineers and analytics engineers in the same team?▾

Yes. We can match a combined team: data engineer + analytics engineer + ML engineer if your roadmap needs all three.

Ready to hire Data developers?

Tell us what you're building. We'll send pre-vetted Data candidates within 24 hours — with a 7-day replacement guarantee on every hire.

Start hiring Estimate your cost