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 Systems Engineer, UDS Data Management

Dell Technologies · Frankfurt, Germany

Field

Senior Systems Engineer, Data Management

Germany, remote

Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.

Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in Germany.

What you’ll achieve

In this role, you will operate at the intersection of technology, customer success, and business impact. You will design modern data and AI architectures, translate complex requirements into clear use cases, and shape compelling solutions that drive our customers’ data and AI transformation.

You will:

  • Build trusted relationships with customers and lead discovery to understand their goals, challenges, and technical needs.
  • Design and validate modern cloud architectures for data, analytics, and AI/GenAI/RAG solutions.
  • Create clear solution designs, proposals, and technical materials that guide customers through their Data & AI transformation.
  • Deliver impactful demos and PoCs that highlight value, feasibility, and business outcomes.
  • Communicate complex data and AI concepts in a simple, customer-friendly way to both technical and non-technical stakeholders.
  • Evaluate modern data and AI platforms and explain how our solutions stand out in the competitive landscape.

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

Technical Skills

  • Hands-on experience with leading cloud & data platforms
    (Snowflake, Databricks, BigQuery, Redshift, Synapse, Cloudera) plus at least one major cloud (AWS, Azure or GCP).
  • Strong data architecture & engineering foundation
    Data warehousing, data lakes/lakehouse, SQL, ETL/ELT, data modeling (star/snowflake), performance tuning, governance, and compliance (GDPR/CCPA).
  • Experience with data pipelines & unstructured data
    Integration, orchestration (Airflow, dbt, Spark, Kafka), batch/streaming, and processing of PDFs, logs, images, text into structured/vectorized formats.
  • Familiarity with AI/GenAI & RAG concepts
    Vector databases (pgvector, Elasticsearch, Milvus), embeddings, document processing, semantic search, chunking, and RAG pipeline fundamentals.
  • Broad analytics & BI knowledge
    BI tools (Power BI, Tableau, Looker, Qlik), self-service analytics enablement, and end‑to‑end solution design from raw data to dashboards and models.

Consulting Skills

  • Strong customer-facing communication & storytelling
    Ability to explain complex topics clearly to technical/non‑technical audiences; delivering presentations to senior stakeholders (CIO/CDO).
  • Discovery, requirements analysis & POC excellence
    Skilled at uncovering business drivers, structuring PoCs, defining success criteria, and demonstrating solutions that showcase customer value.

Proven Experience

  • 5+ years in a customer‑facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
  • Track record delivering modern Data & AI solutions
    Experience in cloud DWH/lakehouse migrations, BI modernization, GenAI/RAG implementations, streaming analytics, or advanced analytics programs.

Desirable Requirements

  • Hands-on experience with ML/AI workflows & tools
    Feature engineering, model development, notebooks, Python, Spark, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex.
  • Ability to translate ambiguous business problems
    Into clear data, analytics, or AI use cases with measurable value.
  • Understanding of competitive Data & AI landscapes
    Ability to articulate differentiation across platforms (data warehouses, lakehouses, analytics tools, AI ecosystems).

Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.

Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.

Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.