Data Engineer CV Example
Professional data engineer CV example with recruiter-tested sections you can customise in minutes.
Example only
All personal details and career history in this example are fictional. Customise this CV with your own real information before applying.
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Skills
Certifications
Google Professional Data Engineer
Google
2023-06-01
Databricks Certified Data Engineer Associate
Databricks
2022-06-01
Languages
English (Native)
Noah Richardson
Senior Data Engineer
8 years of experience designing data warehouses, ETL pipelines, and real-time analytics platforms for enterprise customers.
Experience
Senior Data Engineer
Pipeline Harbor, Full-time
2020-01-01 – Present
Seattle, WA, US
Reliable data platforms for analytics and ML — Kafka-to-Snowflake ingestion, Airflow observability, and Delta Lake versioning.
- Architected reliable data platforms for analytics and ML teams
- Implemented Kafka-to-Snowflake ingestion with exactly-once semantics and schema registry enforcement for 2B daily events.
- Built Airflow DAG observability with lineage and SLA alerts, reducing unnoticed pipeline failures by 78%.
- Introduced table versioning and backfill orchestration in Delta Lake to support reproducible historical reprocessing.
Data Engineer
Signal Quarry, Full-time
2017-12-01 – 2019-12-01
Austin, TX, US
ETL/ELT for analytics and finance — incremental dbt models, Debezium CDC, and warehouse PII governance.
- Developed ETL/ELT pipelines for product analytics and finance reporting
- Designed incremental dbt models for order and invoice marts, cutting warehouse compute cost by 34%.
- Created CDC ingestion from PostgreSQL using Debezium connectors to keep downstream marts under five-minute freshness.
- Enforced PII tagging and masking rules in warehouse views to satisfy internal privacy and access policies.
Junior Data Engineer
Atlas Query Labs, Full-time
2015-11-01 – 2017-11-01
Dublin, Ireland
Pipeline maintenance and platform docs — Prefect orchestration, Great Expectations checks, and data-source CLI tooling.
- Supported data pipeline maintenance and platform documentation
- Refactored brittle cron scripts into orchestrated Prefect flows with retries and failure notifications.
- Added Great Expectations checks for null spikes and referential integrity in core fact tables.
- Built internal CLI tools to bootstrap new data sources with standard contract and metadata templates.
Education
Computer Science, Bachelor of Science
University of Illinois Urbana-Champaign
2014-09-01 – 2018-06-01
Bachelor's-level training in computer science at University of Illinois Urbana-Champaign. Completed coursework in Python, SQL, Apache Spark, capstone projects, and collaborative assignments that prepared for professional roles.
CV writing guide
- Show examples of handling schema evolution and late-arriving data.
- Quantify pipeline reliability, freshness, and cost optimization gains.
- Highlight security practices around sensitive data governance.
- Google Professional Data Engineer
- Databricks Certified Data Engineer Associate
- Snowflake SnowPro Core Certification