Resume Keywords/Data Engineer

Data · ATS Keywords

Data Engineer Resume Keywords

Data engineering resumes are filtered for pipeline, warehouse, and big-data keywords. Name the orchestration and processing tools, not just 'data'.

Scan my resume against these

Must-have

Core skills & ATS keywords

  • Data Pipelines
  • ETL
  • Data Warehousing
  • Data Modeling
  • Big Data
  • Stream Processing
  • SQL
  • Data Governance
  • Data Analysis
  • Data Visualization
  • Statistical Analysis
  • Reporting
  • Data Cleaning

Tools & tech

Tools and technologies to name

  • Python
  • SQL
  • Apache Spark
  • Airflow
  • Kafka
  • Snowflake
  • dbt
  • BigQuery
  • AWS
  • Databricks
  • Excel
  • Tableau
  • Git

Soft skills

Soft skills recruiters look for

  • Problem Solving
  • Attention to Detail
  • Collaboration
  • Communication
  • Teamwork
  • Time Management
  • Adaptability
  • Organization
  • Critical Thinking
  • Work Ethic
  • Initiative
  • Leadership

Strong verbs

Action verbs to start bullets

  • Built
  • Engineered
  • Automated
  • Optimized
  • Scaled
  • Ingested
  • Achieved
  • Improved
  • Managed
  • Developed
  • Delivered
  • Led
  • Increased
  • Reduced
  • Streamlined
  • Implemented
  • Coordinated
  • Collaborated
  • Executed

Credentials

Certifications that help

  • Google Cloud Professional Data Engineer
  • AWS Certified Data Analytics

How to use these

Keywords get you read. Context gets you hired.

  1. Match the posting first.The list above is a strong baseline, but the keywords that matter most are the ones in the exact job description you're applying to.
  2. Put them in context. Work each keyword into a real bullet point or skill line - ATS filters weight keywords inside your experience over a bare list.
  3. Quantify. Pair a keyword with a number wherever you can (built X by Y%). Recruiters scan for measurable outcomes.
  4. Check your match.Paste your resume and the job description into Cvali to see which of these keywords you're missing before you apply.

Quick copy

All data engineer keywords in one line

Data Pipelines · ETL · Data Warehousing · Data Modeling · Big Data · Stream Processing · SQL · Data Governance · Data Analysis · Data Visualization · Statistical Analysis · Reporting · Data Cleaning · Python · SQL · Apache Spark · Airflow · Kafka · Snowflake · dbt · BigQuery · AWS · Databricks · Excel · Tableau · Git

Want to see these keywords used in real bullet points?

Data Engineer resume example

FAQ

Data Engineer resume keyword questions

How many keywords should a data engineer resume have?

Aim to naturally include 8-12 of the most relevant keywords from the job description you're applying to. Don't stuff - each keyword should sit inside a real bullet point or skill line.

Where do these keywords go on the resume?

Spread them across your skills section, job bullet points, and summary. ATS filters weight keywords that appear in context (inside experience) more than a bare skills list.

Will copying these guarantee I pass the ATS?

No - they're a starting point. The keywords that matter most are the ones in the specific job posting. Paste your resume and that job description into Cvali to see your real match score.

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