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Data Engineer Resume Template (2026) — Free ATS Download

Prefilled with real data engineer summary, skills, and metric-backed bullets — edit and send.

Junior

Data Engineer template

2 roles

AMARA NWOSU

Data Engineer · Junior

Raleigh, NC · amara.nwosu@email.com · (555) 010-2702 · linkedin.com/in/amaranwosu

Summary

Data engineer owning ingestion and modeling for analytics. Builds pipelines that fail loudly, document their grain, and hold up when upstream schemas change without warning.

Experience

Data Engineer

Research Triangle Analytics · 2022-Present

Rebuilt a Spark ingestion job with partitioning and pruning; cut nightly runtime from 5h to 70m.
Migrated 40 dbt models into a tested warehouse layer; ended the era of conflicting revenue tables.
Added Kafka-based CDC for two source systems; reduced reporting lag from 24h to 15m.
Built schema-change alerts; caught 3 upstream breaks before dashboards showed wrong numbers.
Documented data contracts so producers knew what downstream consumers depended on.
Key project — dbt testing starter: published model tests and freshness checks other analysts adopted.

Junior Data Engineer

Heartland Retail Group · 2021-2022

Maintained Airflow DAGs and BigQuery loads; documented ownership for pipelines that had none.
Added dbt tests to catch data-quality issues early.
Made loads idempotent and safe to re-run.
Built freshness checks that flagged stale tables.
Documented pipeline grain and lineage.
Key project — Pipeline ownership docs: documented and tested inherited pipelines that previously had no owner.

Skills

Python · SQL · Spark · Airflow · dbt · Data warehousing (Snowflake, BigQuery) · ETL / ELT pipelines · Kafka

Education

BS Data Science · Carolina Tech Institute · 2021

Download Word (.docx)Blank sample · free Download .txt

What's prefilled (Junior)

Role-ready summary written for a mid-level data engineer
Skills line with Python, SQL, Spark
Metric-backed experience bullets ATS parsers can read as plain text
Education line you can replace with your real school and dates

Download Word (.docx)Download .txt

Plain-text preview (full template)

AMARA NWOSU
Raleigh, NC · amara.nwosu@email.com · (555) 010-2702 · linkedin.com/in/amaranwosu

SUMMARY
Data engineer owning ingestion and modeling for analytics. Builds pipelines that fail loudly, document their grain, and hold up when upstream schemas change without warning.

SKILLS
Python · SQL · Spark · Airflow · dbt · Data warehousing (Snowflake, BigQuery) · ETL / ELT pipelines · Kafka

EXPERIENCE
Data Engineer · Research Triangle Analytics · 2022-Present
• Rebuilt a Spark ingestion job with partitioning and pruning; cut nightly runtime from 5h to 70m.
• Migrated 40 dbt models into a tested warehouse layer; ended the era of conflicting revenue tables.
• Added Kafka-based CDC for two source systems; reduced reporting lag from 24h to 15m.
• Built schema-change alerts; caught 3 upstream breaks before dashboards showed wrong numbers.
• Documented data contracts so producers knew what downstream consumers depended on.
• Key project — dbt testing starter: published model tests and freshness checks other analysts adopted.

Junior Data Engineer · Heartland Retail Group · 2021-2022
• Maintained Airflow DAGs and BigQuery loads; documented ownership for pipelines that had none.
• Added dbt tests to catch data-quality issues early.
• Made loads idempotent and safe to re-run.
• Built freshness checks that flagged stale tables.
• Documented pipeline grain and lineage.
• Key project — Pipeline ownership docs: documented and tested inherited pipelines that previously had no owner.

EDUCATION
BS Data Science · Carolina Tech Institute · 2021

What is a Data Engineer ATS resume template?

A data engineer ATS resume template is a single-column layout prefilled with Python, SQL, Spark, Airflow, dbt, and warehousing language so parsers extract your pipeline stack and delivery without tables.

How to use this data engineer resume template

Fill every section with your real facts (never invent metrics).
Mirror the posting's wording for tools and responsibilities you truly have.
Export .docx or a text-based PDF for the application portal.
Paste the finished resume + the job description into the free matcher.

Condensed ATS format rules

Use a single column — no tables, text boxes, or multi-column layouts
Standard headings: SUMMARY, SKILLS, EXPERIENCE, EDUCATION
Bullets as plain text with a simple • prefix
Skip logos, icons, skill bars, and headers/footers
Export .docx or a text-based PDF when the portal allows it

Full walkthrough: ATS resume template guide.

Prefer AI to draft and improve every section?

Skip blank-template editing. The free ATS Resume Builder generates a data engineer-targeted draft, lets you edit every section, and AI-improves any part — pay only when you download Word and PDF.

Open ATS Resume Builder — free to start

Data Engineer keyword checklist

Top terms to mirror when they appear in the posting — then scan for gaps.

Python
SQL
Spark
Airflow
dbt
Snowflake
BigQuery
ETL
Kafka
Data modeling

Full list + free gap scanner →

Frequently asked questions

Will this pass Workday / Greenhouse / Lever?

These templates use a single-column, plain-text-friendly layout (no tables, text boxes, or graphics) so common ATS parsers can extract contact info, skills, and bullets. Always paste your final file into the free matcher with the job description to catch wording gaps.

Is it really free?

Yes. All three experience levels (entry, junior, senior) are free to preview, copy, and download as Word (.docx) or .txt — no signup required.

How is a data engineer resume different from a data analyst resume?

Data engineer bullets lead with pipelines, models, and reliability; analyst bullets lead with the insight. If you own the warehouse rather than the dashboard, mirror this template.

Word or Google Docs?

Download the .docx for Microsoft Word, or open the same file in Google Docs (File → Open). Prefer .txt or a text-based PDF when a portal warns about complex formatting.

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Professional summary

Lead with years of experience, primary stack (e.g. Spark, Airflow, Snowflake), and one proof metric (freshness, cost, scale). Avoid generic “passionate data professional” lines—name orchestration and cloud platforms the posting uses.

Data engineer with 5 years building batch and streaming pipelines on AWS and Snowflake, focused on SLAs and data quality.
Owns Airflow DAGs and PySpark jobs processing billions of events/day; cut warehouse spend 26% through right-sizing and clustering.

Skills section

Group by pipeline, warehouse, and cloud. Every tool in Skills should appear in at least one Experience bullet—recruiters and ATS both weight proof over lists.

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

Experience bullets

Use action + system + metric. Hiring managers want volume, runtime, cost, defect prevention, and cross-team ownership—not task lists.

Built PySpark jobs processing 1.8B events/day into Snowflake marts; reduced batch runtime from 3.1h to 55m via partitioning.
Owned Airflow DAGs for core revenue pipelines; improved on-time freshness from 92% to 99.4%.
Implemented Great Expectations checks on critical facts, preventing P1 incidents tied to null keys.

Projects (entry-level & career switchers)

If you lack full-time DE titles, show one end-to-end pipeline: ingestion → transform → warehouse table with documented volume and schedule.

End-to-end ETL capstone: Kafka → Spark → S3 → Snowflake with daily Airflow schedule and data quality tests on primary keys.

ATS-safe format

Single column, standard headings (Summary, Skills, Experience, Education). No tables, icons, or text boxes in the body. Save as .docx or PDF exported from a plain editor.

Full data engineer resume example

Ready-to-study sample with ATS score breakdown, recruiter section review, keywords, and FAQs—not just bullet patterns.

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