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 Software Engineer (Java,Node.js)

Zartis · European Union

The company and our mission: 

Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.

Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.

With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.

We are looking for a Senior Data Engineer to work on a project in the fintech industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will be part of a distributed team developing innovative financial process automation solutions that increase productivity, reduce costs, and ensure organizations meet compliance obligations.

We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail. 

What you will do:

  • Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores

  • Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena

  • Develop Python-based data processing components for parsing and transforming data within Lambda environments

  • Write and optimize SQL queries for data validation and analysis using Athena

  • Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight

  • Provision and manage data infrastructure using Terraform, ensuring consistent deployments across environments

  • Implement CI/CD pipelines and monitoring/alerting for reliable data platform operations

  • Extend and improve existing pipeline frameworks while working within legacy systems

What you will bring:

  • 5+ years of experience building and maintaining data pipelines and ETL/ELT systems

  • Strong hands-on experience with AWS data services (S3, EventBridge, Athena, Lambda) and serverless architectures

  • Proficiency in Python for data transformation and pipeline development

  • Advanced SQL skills for querying and validating large datasets

  • Experience working with analytics-ready data stores and end-to-end pipeline delivery

  • Ability to troubleshoot and optimize cloud-native data pipelines

  • Experience working with infrastructure as code (Terraform) and multi-environment deployments

  • Familiarity with CI/CD practices for data infrastructure

Nice to have:

  • Experience with AWS QuickSight, including embedded dashboards and QuickSight Q

  • Knowledge of Java for upstream data extraction layers

  • Experience supporting customer-facing analytics solutions

  • Familiarity with monitoring, alerting, and observability best practices

What we offer: 

  • 100% Remote Work

  • WFH allowance: Monthly payment as financial support for remote working.

  • Career Growth: We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression.

  • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

  • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

  • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

  • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.

The company and our mission: 

Zartis is a global AI transformation and technology consulting partner where talented engineers and technologists work on cutting edge innovation. We partner with ambitious organizations to design, build, and scale technology solutions that deliver real impact.

Our teams bring deep expertise in AI driven platforms, secure API architectures, and cloud native engineering. You will work on meaningful projects that accelerate the adoption of advanced technologies, from strategy and discovery through to full product delivery, helping turn complex challenges into measurable outcomes.

With engineering hubs across EMEA and LATAM, and long term partnerships in financial services, healthcare and life sciences, and energy and climate, we offer opportunities to work on projects that truly matter. Here, you will not just build technology, you will drive business impact and grow your career alongside industry leaders.

We are looking for a Senior Data Engineer to work on a project in the fintech industry.

The project:

Our teammates are talented people that come from a variety of backgrounds. We’re committed to building an inclusive culture based on trust and innovation.

You will be part of a distributed team developing innovative financial process automation solutions that increase productivity, reduce costs, and ensure organizations meet compliance obligations.

We are looking for someone with good communication skills, ideally with experience making decisions, being proactive, used to building software from scratch, and with good attention to detail. 

What you will do:

  • Design and maintain data pipelines and ETL/ELT workflows, including batch extraction, transformation, and loading into analytics-ready data stores

  • Build and operate event-driven, serverless data processing systems using AWS services such as S3, EventBridge, Lambda, and Athena

  • Develop Python-based data processing components for parsing and transforming data within Lambda environments

  • Write and optimize SQL queries for data validation and analysis using Athena

  • Create and maintain embedded analytics dashboards for customer-facing reporting using AWS QuickSight

  • Provision and manage data infrastructure using Terraform, ensuring consistent deployments across environments

  • Implement CI/CD pipelines and monitoring/alerting for reliable data platform operations

  • Extend and improve existing pipeline frameworks while working within legacy systems

What you will bring:

  • 5+ years of experience building and maintaining data pipelines and ETL/ELT systems

  • Strong hands-on experience with AWS data services (S3, EventBridge, Athena, Lambda) and serverless architectures

  • Proficiency in Python for data transformation and pipeline development

  • Advanced SQL skills for querying and validating large datasets

  • Experience working with analytics-ready data stores and end-to-end pipeline delivery

  • Ability to troubleshoot and optimize cloud-native data pipelines

  • Experience working with infrastructure as code (Terraform) and multi-environment deployments

  • Familiarity with CI/CD practices for data infrastructure

Nice to have:

  • Experience with AWS QuickSight, including embedded dashboards and QuickSight Q

  • Knowledge of Java for upstream data extraction layers

  • Experience supporting customer-facing analytics solutions

  • Familiarity with monitoring, alerting, and observability best practices

What we offer: 

  • 100% Remote Work

  • WFH allowance: Monthly payment as financial support for remote working.

  • Career Growth: We have established a career development program accessible for all employees with 360º feedback that will help us to guide you in your career progression.

  • Training: For Tech training at Zartis, you have time allocated during the week at your disposal. You can request from a variety of options, such as online courses (from Pluralsight and Educative.io, for example), English classes, books, conferences, and events.

  • Mentoring Program: You can become a mentor in Zartis or you can receive mentorship, or both.

  • Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with a range of specialists, including mental health professionals, nutritionists, physiotherapists, fitness coaches, and webinars with such professionals as well.

  • Multicultural working environment: We organize tech events, webinars, parties, and activities to do online team-building games and contests.