Data Engineer Roadmap: Skills, Tools, and Projects

responsibilities, and expectations at each career level Entry Level Entry Level (0-2 yrs) Mid Level Mid Level Senior Level Senior Level Who This Is For Early-career professionals entering data engineering Candidates moving from adjacent technical roles Those exploring ETL or data platform paths Early-career professionals entering data engineering Candidates moving from adjacent technical roles Those exploring ETL or data platform paths Role Outcomes Build and run batch ETL jobs Write SQL for data transformation Support pipeline monitoring and alerting Deliver clean data to analysts and dashboards Tool Stack Technical Skills SQL Fundamentals Python Scripting ETL Concepts Basic Data Modeling Data Warehouse Basics SQL Fundamentals Python Scripting ETL Concepts Basic Data Modeling Data Warehouse Basics + 4 more skills + 4 more skills Soft Skills Structured Thinking Written Documentation Stakeholder Management Attention to Data Correctness Structured Thinking Written Documentation Stakeholder Management Attention to Data Correctness Example Deliverables ETL Job Documentation Document job logic, source systems, transformations, schedules, and dependencies. Data Quality Check Script Validate missing values, duplicates, schema issues, and business rule mismatches. Source-to-Target Mapping Map source fields to target tables with transformation rules and data types. KPIs Pipeline Success Rate Data Freshness SLA Row Count Validation Pass Rate Job Run Duration Bug Fix Turnaround Time Interview Checkpoint A daily pipeline has been running for two months and suddenly fails to load rows. Walk me through how you would debug it. How would you design a simple ETL pipeline that ingests data from a REST API and loads it into a data warehouse? What does a good data quality check look like, and at what point in a pipeline would you apply it? Who This Is For Early-career professionals entering data engineering Candidates moving from adjacent technical roles Those exploring ETL or data platform paths Early-career professionals entering data engineering Candidates moving from adjacent technical roles Those exploring ETL or data platform paths Role Outcomes Build and run batch ETL jobs Write SQL for data transformation Support pipeline monitoring and alerting Deliver clean data to analysts and dashboards Tool Stack Technical Skills SQL Fundamentals Python Scripting ETL Concepts Basic Data Modeling Data Warehouse Basics SQL Fundamentals Python Scripting ETL Concepts Basic Data Modeling Data Warehouse Basics + 4 more skills + 4 more skills Soft Skills Structured Thinking Written Documentation Stakeholder Management Attention to Data Correctness Structured Thinking Written Documentation Stakeholder Management Attention to Data Correctness Example Deliverables ETL Job Documentation Document job logic, source systems, transformations, schedules, and dependencies. Data Quality Check Script Validate missing values, duplicates, schema issues, and business rule mismatches. Source-to-Target Mapping Map source fields to target tables with transformation rules and data types. KPIs Pipeline Success Rate Data Freshness SLA Row Count Validation Pass Rate Job Run Duration Bug Fix Turnaround Time Interview Checkpoint A daily pipeline has been running for two months and suddenly fails to load rows. Walk me through how you would debug it. How would you design a simple ETL pipeline that ingests data from a REST API and loads it into a data warehouse? What does a good data quality check look like, and at what point in a pipeline would you apply it? Who This Is For Data engineers who already own a pipeline or platform area Professionals ready to lead architecture & quality decisions Engineers stepping into broader cross-functional ownership Data engineers who already own a pipeline or platform area Professionals ready to lead architecture & quality decisions Engineers stepping into broader cross-functional ownership Role Outcomes Own end-to-end pipeline design Implement data quality frameworks Optimize warehouse performance Coordinate on data contracts with analytics and ML teams Tool Stack Technical Skills Advanced SQL PySpark or Large Dataset Pandas Streaming Basics dbt Proficiency Cloud Platform Administration Advanced SQL PySpark or Large Dataset Pandas Streaming Basics dbt Proficiency Cloud Platform Administration + 4 more skills + 4 more skills Soft Skills Tradeoff Judgment Cross-Functional Coordination Technical Documentation Incident Response Communication Mentoring Junior Engineers Tradeoff Judgment Cross-Functional Coordination Technical