Data quality engineer with 6 years of experience building testing and observability into data pipelines at streaming and adtech companies. Designed a data contract framework that cut downstream breakages 70%. Writes production Python and SQL and treats data reliability with the same rigor as software reliability.
Experience
Data Quality Engineer, Tidewater Streaming (Los Angeles, CA)
Jul 2022 – Present
Designed schema-based data contracts between 25 producer services and the warehouse, cutting downstream breakages 70%
Built anomaly detection on 400 tables with Monte Carlo and custom Python checks, alerting owners within 15 minutes
Added dbt and Spark unit tests to CI, blocking 60 faulty deployments in the first year
Defined data SLAs for 30 critical datasets feeding royalty payments and executive reporting
QA Engineer, Data, Brightpixel Ad Exchange (San Francisco, CA)
Jan 2020 – Jun 2022
Automated validation of 3B daily bid events with PySpark, cutting billing discrepancies 45%
Built regression test suites for Airflow DAGs, reducing failed releases by half
Wrote synthetic data generators that let QA reproduce billing edge cases
Data Engineering Lead, Gaucho Data Science Club (Santa Barbara, CA)
Sep 2017 – Jun 2019
Built a scraping and validation pipeline for 50,000 campus housing listings
Education
B.S. in Computer Science, University of California, Santa Barbara (Sep 2015 – Jun 2019)
Skills
Data Reliability: data contracts, observability, anomaly detection, SLAs
Engineering: Python, SQL, PySpark, Kafka, Airflow
Tools: Monte Carlo, Great Expectations, Soda, GitHub Actions
Cloud: AWS (S3, EMR, Glue), Snowflake
How to write a Data Quality Engineer resume
A strong Data Quality Engineer resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. 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
SQL
Python or R
Statistics
Machine learning
Data modeling
dbt and ELT pipelines
BI tools (Looker, Tableau, Power BI)
Experiment design
Data visualization
Stakeholder communication
Example bullet points
Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year
Rebuilt the revenue dashboard on dbt and Looker, cutting refresh time from 6 hours to 20 minutes
Designed 25 A/B tests with sequential analysis, shortening the average test from 4 weeks to 10 days
Tips from recruiters
Pair every technique with the decision it informed; "built a model" alone says little.
List tools under grouped skills ("Analytics: SQL, dbt, Looker") so ATS keyword matches are exact.
Link a notebook, Kaggle profile or public analysis if you have one.
Recommended templates
Classic (ATS-friendly): Jake's-style LaTeX classic: small caps and hairline rules
Modern (ATS-friendly): Clean single column with accent headings and rules
Compact (ATS-friendly): Dense single column that fits long histories
Data Quality Engineer resume FAQ
What should a Data Quality Engineer resume include?
A Data Quality Engineer resume should show the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. 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 Quality Engineer?
Classic, Modern and Compact work well for Data Quality Engineer roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Quality Engineer resume be?
One page for most candidates; move to two only if every line is relevant.
Which skills should a Data Quality Engineer put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Quality Engineer roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Quality Engineer resume bullet points?
Start with an action verb, say what you did, and end with a measurable result such as forecast accuracy, revenue impact and query time. For example: "Built a churn model (gradient boosting, AUC 0.86) that targeted retention offers and saved $900k a year."