Bringing Radical Transparency to Data Consulting
We believe that hiring a data engineering partner shouldn't be a black box. You deserve to know who is good, what they cost, and what they actually specialize in.
In 2024, the "Data Engineering" service market became saturated. With every IT firm claiming to be a "Snowflake Expert" or "AI Specialist," it became impossible for buyers to distinguish between true expertise and sales fluff.
DataEngineeringCompanies.com was built to solve this. We are an independent research dedicated to mapping the data ecosystem.
Our Core Beliefs
- 1. Rates should be public. The "Contact Us for Pricing" dance wastes everyone's time. We publish estimated rate ranges so you can qualify partners instantly.
- 2. Specialization beats Generality. A firm that does "Everything for Everyone" is rarely the best choice for a complex dbt refactor or a Databricks migration.
- 3. Engineering over Sales. We rank firms based on their technical contributions (open source, certifications, case studies), not their ad spend.
Our Research Team
Peter Korpak
Chief Analyst & Founder
Data-driven market researcher with 20+ years in market research and 10+ years helping software agencies and IT organisations make evidence-based decisions. Former market research analyst at Aviva Investors and Credit Suisse. At DataEngineeringCompanies.com, Peter leads the evaluation methodology, directly reviews vendor submissions, and maintains the scoring framework across 86 vetted firms.
Previous roles: Aviva Investors · Credit Suisse · Brainhub
LinkedIn profileSenior Technical Analysts
Former Data Architects and Engineering Leads who review technical claims. They check GitHub repos, verify "Gold" partner statuses, and interview engineering leads.
Procurement Specialists
Experts in IT sourcing who analyze rate cards, MSAs, and engagement models to provide accurate pricing benchmarks.
How We Rate
Learn more about our rigorous 45-point inspection process in our Editorial Policy.
Read our Editorial Policy →