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

Daymarkhealth · New York, NY / Philadelphia, PA / Boston, MA

Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark’s comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care. 

Daymark’s groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation’s foremost leaders in oncology and value-based care. Daymark Health is backed by Maverick Ventures, Yosemite, Oncology Ventures, Healthier Capital, Blue Venture Fund, and Healthcare Foundry.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Daymark Health email.

 

WHAT YOU'LL DO

At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark’s mission. Reporting to the VP of Product and working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will:

  • Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners.
  • Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration.
  • Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization.
  • Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark’s mission and scale our value-based care model
  • Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions.
  • Collaborate with engineering and other teams to integrate analytics into production systems.
  • Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success.
  • Align data infrastructure to be flexible in organization’s strategic priorities (i.e., pharma data, Fee-for-service, etc.) 
  • Augment analytics processes with AI use cases

WHAT WE ARE LOOKING FOR

  • Experience: You bring 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. You’ve implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools.
  • Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You’ve worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements.
  • Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale.
  • Collaborative operator: You’re a strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results.
  • Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems.
  • Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark’s mission to transform cancer care for patients, families, and providers.

 

ADDITIONAL INFORMATION

This role is fully remote but we are ideally looking for someone based in New York, Philadelphia, or Boston to align with our team's current geographic distribution.

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