Editorial Policy

Trust is the currency of our business. Our users rely on our profiles and buyer tools to make high-stakes hiring decisions. This policy outlines our commitment to objectivity, accuracy, and transparency.

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1. No "Pay-to-Play" Placement

We do not accept payment to improve a company's editorial placement, profile, or fit verdict.

Company profiles and directory surfaces are built from factual buyer signals, including:

• Proven Experience: Public case studies and client references.
• Technical Depth: Density of certified engineers and relevant partner-tier evidence.
• Market Presence: Years in business, team size, and thought leadership.

While we may offer clearly marked "Sponsored" placements or lead generation services in the future, these will always be distinct from editorial profile content and fit guidance.

2. Data Verification Sources

Our data is aggregated from multiple sources to ensure accuracy:

• Direct Submission: Data provided by firms during our intake process.
• Public Records: LinkedIn insights, Partner Directories (AWS, Snowflake, Azure), and Press Releases.
• Client Interviews: Direct feedback from procurement leaders and CTOs.

3. The "Verified" Badge

Companies marked with a Verified badge have undergone extended diligence. We have:

• Reviewed a live MSA or SOW (redacted for confidentiality) to verify rates.
• Interviewed at least one technical lead from the firm.
• Validated their partner status directly with the cloud provider.

4. Corrections & Updates

The data engineering market moves fast. We aim to review all profiles quarterly. If you see an error in a profile or believe a fit signal is based on outdated information, please report it immediately.

How to report an error: Use the "Report Issue" link on the company profile page or email editorial@dataengineeringcompanies.com.