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 .

Databricks Data Engineer

Horizon Industries · REMOTE

 

Databricks Data Engineer

Who we are

Horizon Industries Limited (Horizon) is a dynamic IT and Management Consulting firm based in the Washington, DC area. Founded in 1996, Horizon Industries Limited (Horizon) has evolved into a company of highly qualified professionals that provides full-cycle IT Consultant and Management support in both the private and public sectors.

Horizon’s culture is based on our core values, and we PRIDE ourselves on a diverse, employee, and family-centric approach.

 

Who we are looking for

We are seeking a Databricks Data Engineer for a full-time position supporting our various clients

We are committed to your growth and success in the IT software development industry. We are looking for a Databricks Data Engineer ready to assume leadership responsibilities in a supportive team environment focused on your success as a function of client success.

 

What your day-to-day will look like / Responsibilities:

  • Build end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation and ingest patterns to move raw data from data producers to an enterprise data ecosystem, with a focus on performance and reliability
  • Assess and understand the ETL jobs, workflows, BI tools, and reports
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
  • Experience in crafting database / data warehouse solutions in the cloud (Preferably AWS, Azure, Alternatively GCP)
  • Key must have skill sets – Python, SQL, Databricks, AWS Data Services
  • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience manipulating, processing, and extracting value from large, disconnected datasets
  • Experience manipulating structured and unstructured data for analysis
  • Experience with data modeling tools and processes
  • Experience aggregating and transforming data from multiple datasets to create data products
  • Support an Agile software development lifecycle

What we would like to see on your resume/ Required Skills

  • Ability to hold a position of public trust with the US government.
  • S. in Computer Science or equivalent
  • 4+ years' experience in data engineering and big data. At least 2 years' of professional services experience interacting directly with clients.
    • Big data tools: Hadoop, Spark, Kafka, etc.
    • Relational SQL and NoSQL databases and experience working with relational databases
    • AWS cloud services: EC2, S3, RDS, Glue, Step Functions, Lamda, EMR, DynamoDB, DocumentDB, Redshift, Aurora, Athena
    • Data Platforms: Databricks
    • Data streaming systems: Batch,Kafka, Storm, Spark-Streaming, etc.
    • Languages: Python, R, Scala, Go
  • Ability to inspect existing data pipelines, discern their purpose and functionality, and re-implement them efficiently in Databricks.
  • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **a must
  • Data modeling and database design skills and knowledge of version control
  • Excellent verbal and written communication skills
  • Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks
  • Databricks Data Engineer Professional certification a plus.
  • Preference for candidates with Databricks Professional certifications

What specifically does this role require

Education:  Bachelor’s degree in a technical field such as software engineering, engineering, computer science, etc.

Location : Horizon is headquartered in the heart of Tyson’s Corner, VA. Occasional travel may be required.

 

Why you will love working with us/ Perks

  • A comprehensive benefits package including healthcare (medical, dental, vision and disability)
  • a 401k program where you are 100% vested from day one with an employer match after 90 days.
  • an Educational Assistance program.
  • a Student Loan Repayment Program
  • Gym Reimbursement Program.
  • Paid Time off
  • Dynamics, passionate, multi-disciplinary team of creative minds to work with, and many more.

 

Horizon is an Equal Employment Opportunity employer, and it is our policy to consider all applicants for employment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.  

 

EOE/Vet/Disabled