Data Engineer resume example

Maya Chen

maya.chen@example.com · Portland, OR · linkedin.com/in/maya-chen-example

Summary

Data Engineer with experience building reliable data pipelines and analytics-ready datasets for operations and product teams. Skilled in SQL, Python, cloud data platforms, and data quality practices. Focused on clear documentation, dependable systems, and practical collaboration with stakeholders.

Experience

Data Engineer | Northwind Logistics | 2022–Present

• Built and maintained batch data pipelines that bring together shipment, inventory, and customer data.
• Developed reusable SQL models for operational reporting, with documented definitions for key metrics.
• Added automated checks for freshness, schema changes, and unexpected null values to help teams identify data issues earlier.
• Worked with analysts and operations partners to prioritize data needs and deliver datasets for planning and performance reviews.

Associate Data Engineer | Cedar Grove Retail | 2020–2022

• Created Python and SQL workflows to process sales and product data from internal systems.
• Improved pipeline reliability by adding retry handling, logging, and alerts for common failures.
• Supported a migration of reporting tables to a cloud data warehouse, validating records and reconciling totals during the transition.
• Maintained documentation covering data sources, transformations, and scheduled jobs.

Data Operations Intern | Harborlight Services | 2019–2020

• Wrote SQL queries to investigate data discrepancies and support recurring business reports.
• Helped clean and standardize customer and service records for analysis.
• Assisted with scheduled data loads and documented routine checks for the team.

Education

B.S. in Information Systems

Cascade State University | 2019

Skills

• Languages: SQL, Python
• Data engineering: ETL/ELT, data modeling, batch processing, data quality checks
• Platforms: Cloud data warehouses, object storage, workflow orchestration
• Tools: Git, Linux, Docker
• Practices: Documentation, testing, monitoring, stakeholder collaboration

Why this resume works

• It uses a clear structure that makes experience and skills easy to scan.
• The summary quickly explains the candidate’s focus and relevant strengths.
• Experience bullets describe practical work and its purpose without making unsupported claims.
• Skills are grouped by category so readers can find relevant tools and capabilities.

Tips for writing a Data Engineer resume

• Tailor your summary and skills to the job description, using tools and terms you can discuss confidently.
• Describe what you built, maintained, or improved, and explain who used it or what it enabled.
• Include concrete outcomes when you can support them with accurate details.
• Show how you handled reliability, data quality, testing, and documentation.
• Keep formatting consistent, proofread carefully, and leave out tools or responsibilities you have not actually used.