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Data Engineer resume keywords

Core keywords are the skill list on the Data Engineer resume example. Supporting keywords are skills-catalog entries that name this role.

See the matching Data Engineer resume example. For which applicant tracking systems large employers use, read the State of ATS 2026 report.

Check your Data Engineer resume

The ATS checker opens with Data Engineer filled in as the target role, along with the keyword list on this page. Paste your resume there. Free, no signup.

Counted on 2026-10-10 from 163 public job postings whose titles match Data Engineer. Those postings came from Ashby, Greenhouse, Lever, and SmartRecruiters. A posting is counted for this role when the longest published job-title phrase in its title is Data Engineer. The crawl queried Greenhouse, Lever, Ashby, and SmartRecruiters for 133 employers in the State of ATS 2026 dataset that use those vendors, and for 279 additional public boards from the extended coverage tier. The extended boards are not part of the 738-company statistics. 361 boards returned postings out of 412 boards attempted, and 46923 postings were scanned. HTML was stripped before counting, and each posting counts once per term. Phrases beyond the published skill list are the most common two- and three-word phrases in the matched postings. Posting text is not stored. A role page shows these percentages only when at least 30 descriptions were counted.

Core keywords

These are the terms to put on the resume when they match work you have done.

  • Python

    90% of 163 recent postings mention Python.

  • SQL

    74% of 163 recent postings mention SQL.

  • Spark

    50% of 163 recent postings mention Spark.

  • Airflow

    51% of 163 recent postings mention Airflow.

  • AWS

    47% of 163 recent postings mention AWS.

  • ETL

    48% of 163 recent postings mention ETL.

  • Snowflake

    25% of 163 recent postings mention Snowflake.

  • dbt

    33% of 163 recent postings mention dbt.

  • Kafka

    23% of 163 recent postings mention Kafka.

  • Data Warehousing

    23% of 163 recent postings mention Data Warehousing.

Supporting keywords
Phrases from recent postings

These phrases showed up often in the matched postings and are not already on the published skill list.

  • data engineering

    77% of 163 recent postings mention data engineering.

  • data engineer

    75% of 163 recent postings mention data engineer.

  • data pipelines

    59% of 163 recent postings mention data pipelines.

  • data quality

    54% of 163 recent postings mention data quality.

  • computer science

    42% of 163 recent postings mention computer science.

  • data science

    41% of 163 recent postings mention data science.

  • data modeling

    39% of 163 recent postings mention data modeling.

  • best practices

    39% of 163 recent postings mention best practices.

  • large scale

    32% of 163 recent postings mention large scale.

  • data platform

    31% of 163 recent postings mention data platform.

  • data processing

    31% of 163 recent postings mention data processing.

  • data scientists

    30% of 163 recent postings mention data scientists.

Where to place them

  1. 1

    Headline

    Put the target title and two core terms on the line under your name: Data Engineer | Python | SQL.

  2. 2

    Skills

    List the core terms together in the skills section: Python, SQL, Spark, Airflow, AWS, ETL, Snowflake, dbt, Kafka, Data Warehousing.

  3. 3

    Experience

    Use Python, SQL, Spark inside bullets for work you did in this role, next to the result.

  4. 4

    Supporting terms

    Add these in the skills section or a bullet when you have used them: Pandas, Apache Spark, Hadoop, Google Cloud, Grafana, HL7 Healthcare Interoperability, dbt (Data Build Tool), Looker, Apache Airflow, Databricks, Fivetran, Google BigQuery, Amazon Redshift, Apache Kafka, Qlik Sense, Apache Flink, Airbyte, Talend, Informatica PowerCenter, Great Expectations, Apache Superset, Dagster, Dataiku DSS, Apache Iceberg.

Sample lines from the resume example

These lines are already published on the Data Engineer resume example. Use them as a pattern for where a keyword sits next to a result, and replace the details with your own.

  • Designed and maintained data pipelines processing 10TB+ daily across 200+ sources
  • Built real-time streaming pipeline using Kafka and Spark reducing data latency from hours to seconds
  • Migrated data warehouse to Snowflake, reducing query costs by 45% and improving performance 3x
  • Created dbt transformation layer with 500+ models powering company-wide analytics

Questions about Data Engineer keywords

What keywords should a Data Engineer resume include?

Core keywords for a Data Engineer resume are Python, SQL, Spark, Airflow, AWS, ETL, Snowflake, dbt, Kafka, Data Warehousing. Core keywords are the skill list on the Data Engineer resume example. Supporting keywords are skills-catalog entries that name this role. Percentages are the share of 163 public postings fetched on 2026-10-10 whose titles match this role.

Where should Data Engineer keywords go on a resume?

Headline: Put the target title and two core terms on the line under your name: Data Engineer | Python | SQL. Skills: List the core terms together in the skills section: Python, SQL, Spark, Airflow, AWS, ETL, Snowflake, dbt, Kafka, Data Warehousing. Experience: Use Python, SQL, Spark inside bullets for work you did in this role, next to the result. Supporting terms: Add these in the skills section or a bullet when you have used them: Pandas, Apache Spark, Hadoop, Google Cloud, Grafana, HL7 Healthcare Interoperability, dbt (Data Build Tool), Looker, Apache Airflow, Databricks, Fivetran, Google BigQuery, Amazon Redshift, Apache Kafka, Qlik Sense, Apache Flink, Airbyte, Talend, Informatica PowerCenter, Great Expectations, Apache Superset, Dagster, Dataiku DSS, Apache Iceberg.

How do I check a Data Engineer resume?

Open the free ATS checker with Data Engineer prefilled, paste your resume, and compare it with the keyword list on this page.

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