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 .

Senior Data Engineer

Brightlyworks · Finland

It’s time to expand our team again! ✨We are looking for new experienced Data Engineer colleagues to join our highly skilled community in Brightly.  At Brightly you get to work with modern cloud services and data platforms. Our customer projects typically consist of building solutions to ingest, model, store, and publish data. Your efforts will support our clients’ data-driven decision-making processes and enable them to achieve their business goals. You can also work on BI and AI development depending on your preference and background.  The expertise of our professionals is a top priority in our culture. All our tech colleagues have the responsibility and authority to define technological initiatives that drive the company forward. Regardless of their title, all our experts are on an equal footing. Respecting others and engaging in active sparring are core values that define us.  As part of us, you'll  🔹Work with highly skilled data engineers, architects, developers, and designers to create data solutions for our clients. You will assist clients in defining solution requirements, modeling data, and developing scalable data pipelines, collaboratively shaping the final outcome with them.  🔹You will be a key person in designing and implementing cloud data platforms and working with your team members to choose the right technologies and deliver solutions.  🔹Commit working code, perform code reviews for peers, and help develop the team’s ways of working.  🔹Take your share of responsibility for the team and the project and have the vision and drive to do more than just type in the code.  What are you looking for then? We hope you have:  🔹Several years of experience in working with data technologies, with proficiency in several of the following: 🔸Azure, AWS or GCP  🔸Strong knowledge of SQL, proficiency in programming with Python  🔸Data modeling (dimensional models, Data Vault)  🔸ETL/ELT, data lakes, data warehouses, data lakehouses  🔸Modern cloud data platforms such as Databricks, Snowflake, Fabric/Synapse  🔸Real-time data integrations, IoT & Edge solutions  🔸DevOps/DataOps, IaC, CI/CD pipelines  🔹Ability and willingness to learn new data and software development technologies and methods  🔹Good collaboration skills: You share what you learn, help others, learn from your peers, and ask for help when you need it  🔹Great communication skills and fluency in Finnish (required) and English    We champion a culture of openness, growth, and innovation. Our team thrives on collaboration, continuous learning, and building strong customer relationships. We value positivity, effective communication, and making a real impact through our work.   We also value time spent together, and after work, we enjoy good food and fun group activities, ranging from board games to climbing. If you're passionate about technology and want to join a team that enables you to do your best work, Brightly is the place for you!   How to Apply:  If you believe you are the person we are looking for and would like to be part of our professional and supportive community, please take a moment to introduce yourself using the form below. If possible, include your CV and some concrete work examples in your application to make the recruitment process more straightforward. Feel free to call our Talent Lead Henna, 040 749 4884 (you can also drop a message on LinkedIn).