Key Takeaways

  • 75% of U.S. employers use automated applicant tracking systems to screen resumes before a human reviews them (Harvard Business School & Accenture, 2021)
  • The most common ATS failures are missing keywords, incompatible formatting, and incorrect file types
  • ResumeGeni scores your resume across 8 parsing layers — modeled on the same steps enterprise ATS platforms like Workday, Greenhouse, and Taleo use to evaluate candidates

How ATS Resume Scoring Works

Applicant tracking systems parse your resume into structured data — extracting your name, contact info, work history, skills, and education — then score how well that data matches the job requirements. Many ATS rejections happen because the parser couldn't extract critical fields, not because the candidate wasn't qualified.

LayerWhat It ChecksWhy It Matters
Document extractionFile format, encoding, readabilityCorrupted or image-only PDFs fail immediately
Layout analysisTables, columns, headers, footersMulti-column layouts break field extraction
Section detectionExperience, education, skills headingsNon-standard headings cause sections to be missed
Field mappingName, email, phone, dates, titlesMissing contact info is a common cause of immediate rejection
Keyword matchingJob-specific terms, skills, certificationsKeyword overlap affects recruiter search visibility and ATS scoring
Chronology checkDate ordering, gap detectionReverse-chronological order is expected by most ATS
QuantificationMetrics, numbers, measurable outcomesQuantified achievements help human reviewers and some scoring models
Confidence scoringOverall parse quality and completenessLow-confidence parses get deprioritized in results

Frequently Asked Questions

Is ResumeGeni free?
Yes. ResumeGeni is currently in beta — ATS analysis, scoring, and initial improvement suggestions are free with no signup required. Full guidance and saved reports may require a free account.
What file formats are supported?
PDF, DOCX, DOC, TXT, RTF, ODT, and Apple Pages. PDF and DOCX are recommended for best ATS compatibility.
How is the ATS score calculated?
Your resume is processed through an 8-layer parsing pipeline that extracts structured data the same way enterprise ATS platforms do. The score reflects how completely and accurately your resume can be parsed, plus how well your content matches common ATS ranking criteria.
Can ATS read PDF resumes?
Yes, but not all PDFs are equal. Text-based PDFs parse well. Image-only PDFs (scanned documents) and PDFs with complex tables or multi-column layouts often fail ATS parsing. Our analyzer will flag these issues.
How do I improve my ATS score?
Focus on three areas: use a clean single-column format, include keywords from the job description naturally in your experience bullets, and ensure all sections (contact, experience, education, skills) use standard headings.

ATS Guides & Resources

Built by engineers with 12 years of experience building enterprise hiring technology at ZipRecruiter. Last updated .

Data Engineer

Ekumenlabs · LATAM (Remote)

#poweringyouringenuity  🚀

Our mission is to bridge top-level technology companies with engineering talent from across the globe. With presence in LATAM, USA and Europe, we empower companies by providing remote engineering teams of all levels tailored to the needs of each project.

Our teams are passionate about technology and thrive on challenges. We value technical expertise and a willingness to learn new things. Each development is tailored to the needs of each project, so being passionate about learning and using new languages, tools, and frameworks is part of our DNA. Our software engineering teams focus on best coding practices to ensure readability, reusability, and scalability of our systems' designs and developments.

We're looking for a skilled and motivated Data Engineer to join our team at Ekumen.
In this role, you'll help maintain and enhance a critical data ingestion pipeline that supports key decision-making processes and enables our teams to work with reliable, high-quality data.

You'll collaborate closely with data scientists, engineers, and other stakeholders, ensuring smooth data flow, improving observability, and continuously finding ways to make things work better.

What you’ll do

  • Maintain, troubleshoot, and optimize a data ingestion pipeline built with Java and Python.

  • Implement new features and improvements that keep our systems efficient and scalable.

  • Write clean, testable, and well-documented code.

  • Participate in code reviews and share ideas that raise the bar for our engineering practices.

  • Stay curious and up to date with emerging technologies and best practices in data engineering.

What we're looking for

  • Proven experience of +4 years as a Data Engineer.

  • Strong proficiency in Java and Python.

  • Solid problem-solving and analytical skills.

  • A collaborative mindset and proactive attitude.

  • Strong English communication skills (B2/C1 level). You'll often interact 1:1 with native speakers.

It'd be great if you also have

  • Experience with Apache Beam or Apache Spark.

  • Knowledge of observability tools (logging, metrics, tracing).

  • Familiarity with cloud platforms like AWS, GCP, or Azure.

Join us to be part of a dynamic community where your skills and contributions truly matter!