Data Engineer Resume Keywords 2026
Use these specific keywords in your resume to help you pass Applicant Tracking Systems (ATS) and catch the attention of recruiters hiring for Data Engineer roles.
Hard Skills
- Data pipeline development
- ETL/ELT processes
- Data modeling
- Data warehousing
- Dimensional modeling
- Data integration
- Batch and streaming data processing
- Data quality management
- Data governance
- Performance tuning and optimization
Technical Proficiencies
- SQL
- Python
- Scala
- Apache Spark
- Apache Kafka
- Airflow (or other workflow orchestration tools)
- DBT (data build tool)
- REST APIs
- Linux/Unix
- Git / version control
Data Platforms & Databases
- Cloud data platforms (AWS, Azure, GCP)
- Amazon Redshift
- Google BigQuery
- Azure Synapse Analytics
- Snowflake
- Relational databases (PostgreSQL, MySQL, SQL Server)
- NoSQL databases (MongoDB, Cassandra, DynamoDB)
- Data lake / data lakehouse
Big Data & Analytics Ecosystem
- Hadoop ecosystem
- Hive / Presto / Trino
- Distributed computing
- Columnar storage formats (Parquet, ORC)
- Data catalog and metadata management
Soft Skills
- Stakeholder collaboration
- Cross-functional communication
- Requirements gathering
- Problem solving
- Analytical thinking
- Documentation and knowledge sharing
- Agile / Scrum collaboration
Industry Certifications
- AWS Certified Data Analytics – Specialty
- Google Professional Data Engineer
- Microsoft Certified: Azure Data Engineer Associate
- Databricks Certified Data Engineer
- SnowPro Core Certification
Action Verbs
- Designed
- Implemented
- Optimized
- Automated
- Orchestrated
- Engineered
- Streamlined
- Monitored
- Maintained
- Collaborated
Pro Tip
Don't just list these keywords! Weave them naturally into your Professional Summary and Work Experience bullet points to show how you used these skills to achieve results.
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