Data Engineer Resume Example (2026 ATS-Friendly Sample)

Who this data engineer resume example is for

• Analysts moving into data engineering with SQL depth.
• Engineers targeting Spark, Airflow, Snowflake, or Databricks postings.
• Candidates who need proof of data quality and SLA ownership.

ATS-friendly data engineer resume example

Fictional candidate for teaching structure only—do not copy employers or metrics you cannot defend in an interview.

Priya Nair
Data Engineer
Denver, CO · priya.nair@email.com · (303) 555-0133

SUMMARY
Data engineer with 5 years building batch and near-real-time pipelines on AWS and Snowflake. Focus on reliable SLAs, data quality, and cost-aware modeling.

SKILLS
Python · PySpark · SQL · Airflow · dbt · Snowflake · AWS (S3, Glue) · Kafka · Terraform · Great Expectations

EXPERIENCE
Data Engineer II | StreamVault Media | Feb 2022 – Present
• Built PySpark jobs processing 1.8B events/day into Snowflake marts, cutting batch runtime from 3.1h to 55m via partitioning and file compaction.
• Owned Airflow DAGs for core revenue pipelines; improved on-time freshness from 92% to 99.4% over two quarters.
• Implemented data quality checks with Great Expectations on critical facts, preventing two P1 incidents tied to null keys.
• Reduced Snowflake spend 26% through warehouse right-sizing and clustering keys on top spend queries.

Data Engineer | HealthCore Analytics | Aug 2019 – Jan 2022
• Migrated on-prem SQL Server ETL to AWS Glue + S3 landing zone with documented lineage for compliance reviewers.
• Partnered with analytics on star-schema models used by 80+ Looker users.

EDUCATION
B.S. Computer Engineering, CU Boulder, 2019

CERTIFICATIONS
AWS Certified Data Engineer – Associate, 2023

Downloadable structure: copy the block above into a plain .docx or ATS-safe template—no tables, text boxes, or icons in the body.

Why this data engineer resume works

• Pipeline verbs and platforms appear together—how ATS and DE managers evaluate fit.
• Cost and SLA metrics mirror real DE performance reviews.
• Certification supports filtered reqs without crowding the page.

Recruiter review (section by section)

Top keywords included (from real job descriptions)

Mirror the posting you are applying to—use the full list on the data engineer resume keywords page.

Common data engineer resume mistakes

1. Listing Spark without volume or runtime context.
2. Using analyst dashboard keywords for a pipeline role.
3. No orchestration tool when the JD requires Airflow/Dagster.
4. Ignoring data quality and incident language for production DE teams.
5. Claiming Kafka without consumer/producer detail.
6. Omitting cloud provider alignment (AWS vs GCP).
7. Skills-only resume with no pipeline ownership bullets.
8. Copying DE buzzwords from a bootcamp list with no job proof.

How to customize this resume for your level

FAQ

What should a data engineer resume example include?

Orchestration, compute, warehouse, and reliability metrics in bullets.

Is this different from a data analyst example?

Yes—DE emphasizes pipelines and platform reliability, not dashboard delivery.

Should I list Spark on every DE resume?

Only if you ran Spark jobs with credible scale or optimization story.

How do I show Airflow experience?

Mention DAG count, SLAs, failures prevented—not only the logo.

One page for data engineers?

Usually yes for under ~8 years unless senior with major platform scope.

Do certifications help?

AWS/Databricks certs can match filters; list if earned.

How do I tailor to a Snowflake JD?

Mirror Snowflake-specific terms and mirror warehouse outcomes from your work.

Can analysts use this example?

Only when applying to DE roles; otherwise use the data analyst example page.