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For founders and hiring teams

Data engineering
recruiting.

Hire data engineers for the systems your team relies on. Work directly with Cheri Kruger to define the role and find candidates.

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Cheri Kruger

A personal search.
A clearer brief.
A better fit.

Kruger Recruiting helps startups and growing companies hire data engineers for pipelines, data platforms, and analytics engineering. Cheri manages role definition, candidate sourcing, interview coordination, and offer discussions across the United States, Canada, and Latin America.

Choose the data work your next hire will own.

Data engineering titles overlap. Start with the system, users, and decisions the role will support.

Pipelines and reliability

Move useful data with confidence.

Pipeline-focused data engineers bring data from its sources into dependable, usable destinations. They often own orchestration, data quality checks, and recovery when a job fails.

Define the work

Name the source systems, delivery needs, failure modes, and the teams that rely on the data.

Data platforms

Make shared data systems work for more teams.

Data platform engineers build and operate shared infrastructure. Their work can include access, governance, storage, compute, and the tools teams use to publish and find data.

Define the work

Describe platform users, scale, reliability needs, and the decisions the hire can make.

Analytics engineering

Turn warehouse data into clear business logic.

Analytics engineers organize and document warehouse datasets so teams can use consistent definitions in reporting and analysis. They often partner closely with analysts and business teams.

Define the work

Set expectations for data models, metric definitions, documentation, review, and ownership with analysts.

Data scientists focus on analysis, experiments, and predictive models. Data engineers build the systems and datasets those teams use. Some roles overlap, so explain the actual responsibility in the brief.

Set the work before you set the title.

The right data hire depends on the system you need them to own and the team they will work with.

Your first data hire

Give the role a useful boundary.

A first data engineer may cover several needs. Choose one priority, then make the trade-offs visible to candidates.

  • The first system or dataset they will own
  • Access to product and business context
  • What can wait until the team grows
Before you search

What data problem will this person take off the team's plate?

An established data team

Hire for the gap in ownership.

Name what the current team owns and where work gets stuck. The new hire can then take responsibility for a defined part of the system.

  • Where pipeline reliability needs an owner
  • Whether the platform serves more teams or use cases
  • How analytics logic is reviewed and maintained
Before you search

Which responsibility should move to this hire first?

Shape a brief you can use.

Capture the essentials in three short steps. Download your notes before leaving.

Describe an outcome, rather than a list of tools.

Cheri Kruger, founder of Kruger Recruiting

Work directly with Cheri.

Cheri Kruger is the founder of Kruger Recruiting. She works directly with founders and hiring teams throughout the search, from role definition and candidate sourcing to interviews and offers.

Let’s talk About Cheri and Kruger Recruiting ↗

Data engineering recruiting questions

A data engineer builds and maintains the systems that move, transform, and serve data. The role can focus on pipelines, shared data platforms, or the datasets and models used for analysis. Define the outcome before choosing a title.