Data engineer with 5 years of experience building batch and streaming pipelines for e-commerce analytics. Rebuilt the core order pipeline in dbt and Airflow, cutting data delivery from next-day to under 30 minutes. Brings solid SQL and Python, data modeling and testing habits that keep dashboards trustworthy.
Experience
Data Engineer, Cartwheel Home Goods (Columbus, OH)
Jan 2023 – Present
Rebuilt order and inventory pipelines with dbt and Airflow on Snowflake, cutting data latency from 24 hours to 30 minutes
Streamed clickstream events through Kafka into Snowflake at 50M events per day
Added 400 dbt tests and freshness checks, reducing data incidents reported by analysts 65%
Modeled a customer 360 mart used by marketing to target $3M in retention campaigns
Junior Data Engineer, Scioto Analytics Group (Columbus, OH)
Jun 2021 – Dec 2022
Built Python ingestion jobs from 12 SaaS APIs into a PostgreSQL warehouse
Converted 30 manual Excel reports into scheduled SQL models
Built a Metabase reporting layer that 45 operations staff used instead of emailed spreadsheets
Education
B.S. Statistics, minor in Computer Science, Miami University (Aug 2017 – May 2021)
A strong Data Engineer resume shows the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Put your most relevant recent role first and make every bullet show a result, not a duty.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: One page for most candidates; move to two only if every line is relevant.
Summary: Write two or three lines: your role, your strongest skills, and one result that proves them.
Skills to feature
Programming languages
System design
Cloud platforms (AWS, GCP, Azure)
CI/CD
Testing and code review
Databases and SQL
Observability
Security fundamentals
APIs and integrations
Technical documentation
Example bullet points
Rebuilt the checkout service in Go, cutting p95 latency from 900 ms to 180 ms for 2M monthly users
Introduced contract tests and staged rollouts, reducing production incidents by 45% in two quarters
Migrated 30 services to Kubernetes with Terraform, lowering cloud spend by $250k a year
Tips from recruiters
Group skills by category (for example "Languages: Go, TypeScript") so recruiters and ATS parsers find them quickly.
Link to a repository, demo or write-up for at least one project you can talk about in depth.
Name the stack inside each bullet; keyword matching happens at the bullet level, not only in the skills list.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Tech (ATS-friendly): Developer style: mono headings and tags, sans body
Modern (ATS-friendly): Clean single column with accent headings and rules
Data Engineer resume FAQ
What should a Data Engineer resume include?
A Data Engineer resume should show the systems you built, the scale they run at, and the measurable effect on speed, reliability or cost. Use these sections in this order: Summary, Experience, Projects, Skills and Education. Put your most relevant recent role first and make every bullet show a result, not a duty.
What is the best resume template for a Data Engineer?
Classic, Tech and Modern work well for Data Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Engineer resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Data Engineer put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Engineer roles are Programming languages, System design, Cloud platforms (AWS, GCP, Azure), CI/CD, Testing and code review and Databases and SQL.
How do I write strong Data Engineer resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as latency, uptime and deploy frequency. For example: "Rebuilt the checkout service in Go, cutting p95 latency from 900 ms to 180 ms for 2M monthly users."