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.
Tables, columns, and text boxes get dropped during parsing — and nothing tells you which sections went missing. Paste yours and see the clean version in 20 seconds.
Paste the posting next to your resume for a match score, the required keywords you are missing, and the gaps that get applications filtered out before a recruiter reads them.
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
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.
Data Engineer resume template for Word (free .docx download)
Every level above downloads as a free data engineer resume template in Microsoft Word — a real .docx you can open and edit in Word, LibreOffice, Pages, or Google Docs. Nothing is locked and there is no watermark or signup: the placeholder details are yours to overwrite, while the summary, skills line, and bullets are already written for the role.
Prefer to start from nothing? The plain-text (.txt) download is the same structure as a blank resume template. Either way, keep the single-column layout — the two-column and "creative" designs in Word's own gallery are the ones that break ATS parsing.
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.
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.
Downloaded it? Here is what fills each section
The template gives you the structure a parser expects. These four free tools fill it in and check it before you apply, in the order most people need them.
Turn what you actually did into bullets that keep the tool-plus-impact shape this template is built around, with data engineer wording already selected.
Editing is where ATS-safe templates break. Adding a table, a text box, or an icon while you write reintroduces exactly what this layout avoids, so confirm every section still reads cleanly.
Scan the filled-in resume for the terms data engineer postings ask for and yours does not mention yet.
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.
You do not need to start from a blank template. Paste your current resume or CV and the converter rebuilds it against the rules above — single column, standard headings, no tables — keeping every word you wrote. Free preview, no signup.
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 levels (Entry level, 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.
