Data engineering manager with 11 years of experience building batch and streaming data platforms, now leading 9 engineers at a logistics technology company. Delivered a streaming platform that cut data latency from hours to seconds for 200 internal consumers. Balances platform reliability, cloud cost and delivery speed while growing engineers into senior and tech-lead roles.
Experience
Data Engineering Manager, Conveyor Freight Tech (Chicago, IL)
Jan 2022 – Present
Manage 9 data engineers owning ingestion, streaming and warehouse platforms for 200 internal consumers
Delivered a Kafka and Flink streaming platform that cut shipment-event latency from 4 hours to under 10 seconds
Reduced Snowflake and AWS spend $1.3M a year through workload tuning and storage tiering
Raised pipeline SLA attainment from 91% to 99.5% with on-call, runbooks and observability
Senior Data Engineer, Loop Commerce Group (Chicago, IL)
Apr 2018 – Dec 2021
Built Airflow and Spark pipelines processing 2TB of order data daily
Tech-led a warehouse migration from Redshift to Snowflake for 400 tables
Built a CDC pipeline from Postgres to Snowflake with Debezium and Kafka
Data Engineer, Prairie Analytics Software (Champaign, IL)
Jun 2015 – Mar 2018
Developed Python ETL jobs for 20 client data integrations
Introduced automated testing that cut load failures 60%
Education
B.S. in Computer Engineering, University of Illinois Urbana-Champaign (Aug 2011 – May 2015)
Reliability: SLAs, data observability, cost optimization
How to write a Data Engineering Manager resume
A strong Data Engineering Manager resume shows the questions you answered, the models or pipelines you shipped, and the decisions your analysis changed. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
Sections, in order
Summary
Experience
Projects
Skills
Education
Length: Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Summary: Lead with your leadership scope and the business outcomes you are known for.
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 Engineering Manager resume FAQ
What should a Data Engineering Manager resume include?
A Data Engineering Manager 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. Show the organization you ran (team size, budget, revenue) and the business results you are accountable for.
What is the best resume template for a Data Engineering Manager?
Classic, Modern and Compact work well for Data Engineering Manager roles. They are single-column with standard headings, so applicant tracking systems (ATS) parse them reliably.
How long should a Data Engineering Manager resume be?
Two pages are common for leadership roles; keep the first page strong enough to stand alone.
Which skills should a Data Engineering Manager put on a resume?
Prioritize the skills named in the job posting. Common ones for Data Engineering Manager roles are SQL, Python or R, Statistics, Machine learning, Data modeling and dbt and ELT pipelines.
How do I write strong Data Engineering Manager 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."