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Data engineering professionals collaborating on modern data platforms
Specialized Data Engineering Recruitment

Hire exceptional Data Engineers without the hiring guesswork.

Godlr helps you hire hard-to-find Data Engineers for full-time roles. Our specialist recruiters combine focused market knowledge with an active network of 17+ pre-screened Data Engineers currently open to FTE opportunities.

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17+ Pre-screened Data Engineers
FTE Full-time hiring focus
$0 No recruiting fee unless you hire
Why Godlr

Fewer irrelevant resumes. Better technical fit. A clearer path to hire.

Generalist recruiting creates volume. Godlr is built to help hiring managers reduce wasted interviews, reach hard-to-find talent, and make Data Engineering hiring decisions with greater confidence.

01

Specialized focus

Our recruiters work full-time on Data Engineering searches rather than dividing attention across every technology role.

02

Stronger candidate alignment

We screen for relevant project experience, technical context, ownership, and role fit-not just matching keywords.

03

Access beyond applicants

We actively engage Data Engineers who may not be applying to job advertisements but are open to the right FTE opportunity.

04

Low-risk engagement

You pay a recruiting fee only when you hire a candidate introduced by Godlr. There is no upfront search fee.

Our specialization

A focused recruiting practice for modern Data Engineering teams.

We concentrate on the people who build, scale, and operate the data platforms behind analytics, AI, reporting, and business-critical decision systems.

Cloud Data Engineers

Azure, AWS, GCP, Databricks, Snowflake, BigQuery, Redshift, Synapse, ADLS, S3, and cloud-native data platforms.

Pipeline & Integration Engineers

ETL, ELT, Spark, PySpark, SQL, Kafka, Airflow, Azure Data Factory, dbt, orchestration, and large-scale data processing.

Platform & Lakehouse Talent

Data warehouses, data lakes, lakehouses, Delta Lake, performance tuning, reliability, governance, and production systems.

Roles we recruit

Focused coverage across the Data Engineering career ladder.

We support individual-contributor, technical-leadership, cloud-platform, and specialist Data Engineering searches.

Data Engineer
Senior Data Engineer
Lead Data Engineer
Cloud Data Engineer
Data Platform Engineer
Databricks Engineer
Snowflake Engineer
ETL / ELT Developer
How we work

A simple, transparent search process.

Each search begins with the business problem behind the role - not with a blind resume search.

1

Calibrate the role

We clarify the business objective, technical stack, must-have experience, seniority, compensation, and hiring timeline.

2

Map and engage talent

We search our active network and reach relevant passive Data Engineers who fit the opportunity.

3

Screen for fit

We evaluate project relevance, technical context, communication, motivation, availability, and FTE alignment.

4

Support the hire

We coordinate interviews, gather feedback, manage expectations, and support the offer through acceptance.

17+

Pre-screened Data Engineers currently open to FTE roles.

Our active network includes professionals with experience across cloud data platforms, pipelines, warehouses, lakehouses, streaming, and large-scale data processing.

Not starting from zero

We build relationships before your requisition reaches us.

A job posting only reaches people who are actively applying. Godlr continuously identifies and engages Data Engineering professionals so your search can begin with relevant market knowledge and existing candidate relationships.

  • Fewer irrelevant submissions
  • Clearer candidate context before interview
  • Access to active and passive talent
  • Focused FTE recruiting for U.S. employers
Candidate evaluation

What we assess before a candidate reaches your interview team.

A resume can show tools. It cannot reliably show ownership, scale, judgment, communication, or whether the candidate actually did the work described. Our screening is designed to give hiring managers useful context before they invest interview time.

Relevant project depth

We examine what the candidate built, the business problem, their personal contribution, the scale involved, and the production outcome.

Technical alignment

We compare the candidate's experience with your required cloud, pipeline, warehouse, lakehouse, streaming, and orchestration environment.

Ownership and seniority

We look for evidence of design decisions, troubleshooting, optimization, mentoring, stakeholder interaction, and delivery responsibility.

Motivation and logistics

We confirm interest, FTE expectations, compensation, location, availability, work authorization, and reasons for considering a move.

What you receive: A concise candidate summary with relevant project context, strengths, potential concerns, compensation expectations, and availability.
Founder-led client partnership

Technology experience applied to technical hiring.

Godlr is led by Mahe Pahariya, a technology leader with more than 23 years of enterprise technology experience. That background helps Godlr look beyond tool lists and understand the delivery context, team environment, and business outcomes behind Data Engineering roles.

Mahe works directly with clients to clarify the search, align expectations, and keep the recruiting effort focused on candidates who can contribute in the client's real operating environment.

View Godlr on LinkedIn
Contingency hiring

See qualified candidates before paying a recruiting fee.

You pay only when you hire a candidate introduced by Godlr. There is no upfront search fee, monthly retainer, or long-term commitment before you see value.

No upfront feeStart the search without paying in advance.
No hire, no feeYou pay only when a Godlr candidate joins your team.
Focused searchSpecialized recruiters work for your defined requirements.
Free hiring resource

Use our Data Engineering Hiring Checklist before your next search.

The checklist helps hiring managers clarify the role, separate true requirements from wish-list skills, structure candidate evaluation, and reduce avoidable delays in the interview process.

Download the Hiring Checklist
PDF guide

Data Engineering Hiring Checklist

  • Role calibration questions
  • Must-have versus nice-to-have skills
  • Candidate evaluation criteria
  • Interview-process safeguards
  • Offer-readiness checklist
Frequently asked questions

What hiring teams usually want to know before engaging Godlr.

Clear expectations make searches move faster. These are the questions we address most often with prospective clients.

How does the contingency model work?

There is no upfront recruiting fee. You pay an agreed placement fee only when you hire a candidate introduced by Godlr.

How quickly can Godlr begin a search?

We can begin after a focused role-calibration conversation covering the business need, technical stack, seniority, compensation, location, and interview process.

Does Godlr recruit remote, hybrid, and onsite Data Engineers?

Yes. We align the search with your location and workplace requirements and confirm those expectations with candidates before submission.

What information accompanies a candidate submission?

Along with the resume, we provide relevant project context, alignment to the role, compensation expectations, availability, motivation, and any concerns identified during screening.

What happens if we do not hire anyone?

You owe no placement fee. The engagement is designed to let you assess candidate quality before making a financial commitment.

Start a conversation

Hiring a Data Engineer?

Book a short strategy call. We will discuss the role, required tech stack, hiring timeline, compensation expectations, and whether Godlr is a practical fit for the search.

  • No upfront recruiting fee
  • Specialist Data Engineering recruiters
  • Access to pre-screened FTE talent
  • Founder-led client engagement
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