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AI Staffing · Product & platform engineering

Hire a Data Engineer.

Builds the pipelines and platforms that make data usable for analytics and AI — ingestion, transformation, quality and governance.

From $20/hrLive in 10 days2-week risk-free trial5-day replacement

In short

AI Anytime Business places vetted Data Engineers on our payroll and into your team within ten days. Builds the pipelines and platforms that make data usable for analytics and AI — ingestion, transformation, quality and governance. Rates: junior $20/hour ($2,900/month full-time), mid $34/hour ($4,900/month full-time), senior $50/hour ($7,200/month full-time), lead $68/hour ($9,800/month full-time) — USD, exclusive of tax.

What they do

  • Builds batch and streaming pipelines
  • Models data for analytics and retrieval
  • Implements data quality and lineage
  • Prepares data for RAG and training

Skills & stack

SQL, Python, Sparkdbt, AirflowSnowflake / Databricks / BigQueryKafkaData governance

When to hire

Data plumbing is holding up your AI roadmap.

Data Engineer rates

RoleJunior0–2 yrsMid3–5 yrsSenior6–10 yrsLead10+ yrs
Data Engineer$20/hr$2,900/mo$34/hr$4,900/mo$50/hr$7,200/mo$68/hr$9,800/mo

USD, Global tier · Nearshore +40% · Onshore +250% · exclusive of tax (18% GST for Indian clients; exports zero-rated under LUT).

See every role on the rate card · Composed team packages

FAQs

Hiring a Data Engineer: FAQs

More answers on the FAQ page, or ask us.

How much does it cost to hire a Data Engineer?

Through AI Anytime Business, a Data Engineer costs junior $20/hour ($2,900/month full-time), mid $34/hour ($4,900/month full-time), senior $50/hour ($7,200/month full-time), lead $68/hour ($9,800/month full-time) — USD, exclusive of tax. These are Global-tier rates; Nearshore delivery adds 40% and Onshore adds 250% per seat.

What does a Data Engineer do?

Builds the pipelines and platforms that make data usable for analytics and AI — ingestion, transformation, quality and governance. Typical work: builds batch and streaming pipelines; models data for analytics and retrieval; implements data quality and lineage; prepares data for rag and training.

How quickly can a Data Engineer start?

Usually within ten days: a 45-minute scoping call, a named proposal with a fit rationale in 48 hours, interviews by day 5 and first commit by day 10. Shortlists arrive within five days.

Is the Data Engineer a contractor or an employee?

They are on AI Anytime's payroll. Contracts, payroll tax, benefits, paid leave, laptop, tooling and compliance are covered by us, and you are never billed for leave. Full IP is assigned to you.

What if the Data Engineer isn't the right fit?

Every engagement starts with a two-week risk-free trial, and a scored replacement starts within five business days if needed.

Hire a Data Engineer

A named proposal in 48 hours.

Tell us the outcome and your timeline. We'll come back with named people, a fit rationale and a price.

We reply within one working day. No spam — your details are used only to respond to this request.