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 II

Astrana Health · United States

We are currently seeking a highly motivated Data Engineer II. This role will report to the Director - Data Engineering and work closely with data analysts, data engineers, data scientists, and clinical leaders to produce deliverables for internal and external clients. With over a million managed lives across the country and terabytes of data generated, our teams need to be continuously equipped with the tools and insights to drive strategy and innovation to further our core values of improving patient outcomes and empowering our providers.

Our Values:
  • Put Patients First
  • Empower Entrepreneurial Provider and Care Teams
  • Operate with Integrity & Excellence
  • Be Innovative
  • Work As One Team

What You'll Do

  • Use data engineering best practices to produce high quality, maximally available data models which are intuitive to data analysts and trusted by stakeholders
  • Develop deep domain knowledge in healthcare operations, tracking regulatory developments related to analytics products you maintain
  • Apply quality measures and other metrics to datasets originating from internal and external clients
  • Build scalable ELT pipelines and business intelligence dashboards as needed, embracing automation wherever possible
  • Implement data quality checks which proactively identify data issues and distributional shifts to ensure accuracy of downstream analytical products

Qualifications

  • Bachelor's degree required in healthcare, analytics, statistics, finance, business, or related field; Master’s degree (MBA, MPH) preferred.
  • Experience with relational databases.
  • Strong understanding of database structures, theories, principles, and practices
  • Working knowledge with programming or scripting languages such as Python, Spark, and SQL.
  • Knowledge of professional software engineering practices and best practices for the full software development life cycle (SDLC), including documentation, coding standards, code reviews, source control management, build processes, testing, and operations.
  • Familiarity with normalized, dimensional, star schema and snowflake schematic models
  • Working experience with Databricks preferred
  • Familiarity with business intelligence exploratory or visualization tools (e.g., Tableau, PowerBI.) preferred
  • Strong written and oral communication skills.
  • Experience with Excel.
You're a great for this role if:
  • 2+ years of experience working in the data and analytics landscape
  • 2+ years of experience using version control to manage code changes
  • 2+ years of experience in managed care or other healthcare data field preferred
  • 1+ years’ using cloud-based services from AWS, GCP, or Azure

Environmental Job Requirements and Working Conditions

  • This position is remotely based in the U.S.
  • The total compensation target pay range for this role is: $105,000 - $115,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at [email protected] to request an accommodation.
Additional Information:
The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.

Originally posted on Himalayas

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