Data Engineer

Building and maintaining data pipelines, data warehouses, ensuring data availability and quality

Data Engineering Junior Middle Senior Lead / Staff Principal
Full Matrix Career Track PDF
64 skills
5 levels
186 mandatory
314 requirements

Data Engineer is a role in the Data Engineering family. It has 64 skills across 5 levels (from Junior to Principal). 186 skills are mandatory. Key domains: Programming Fundamentals, Backend Development, Database Management.

Technology Stack

Junior Python 3.11+, SQL, Apache Airflow, PostgreSQL/ClickHouse, pandas, Docker, Git
Middle Python 3.12+, SQL advanced, Airflow, Spark/PySpark, ClickHouse/BigQuery, dbt, Kafka basics, S3/GCS
Senior Python, Spark/Flink, ClickHouse/BigQuery/Snowflake, Kafka/Debezium, Delta Lake/Iceberg, Terraform, Kubernetes, Data lineage (OpenLineage)
Lead / Staff Data platform architecture, Lakehouse (Delta/Iceberg), Stream processing, DataOps, dbt + Great Expectations, Cost optimization
Principal Enterprise data architecture, Data mesh, Multi-cloud, Real-time analytics at scale, Data governance strategy

Focus by Level

Junior

Writing ETL scripts (Python/SQL). Working with Airflow DAGs. Loading data into warehouse. Monitoring pipelines. SQL queries for analysts.

Middle

Designing data pipelines. Working with Spark/Flink. Optimizing SQL queries on large datasets. Data quality checks. Working with data warehouse.

Senior

Data platform architecture. Designing data lake/lakehouse. Storage cost optimization. Designing real-time pipelines. Mentoring.

Lead / Staff

Data platform strategy. DataOps practices. Governance and lineage. Coordination with ML and Analytics. Data quality standards.

Principal

Enterprise data strategy. Multi-cloud data architecture. Data mesh. Cost optimization at scale. Vendor evaluation.

Skill Matrix

64 skills × 5 levels. Click on a cell for details.

A Awareness W Working V Advanced E Expert

AI-Assisted Development

4 skills
Skills Jun Mid Sen Lead Princ
GitHub Copilot A W A E E
Cursor IDE A W A A
ChatGPT / Claude A W A E E
Prompt Engineering for Code A W A E

API & Integration

4 skills
Skills Jun Mid Sen Lead Princ
REST API Design A W A E E
GraphQL Design A W A E E
gRPC & Protocol Buffers A W A E E
API Documentation A W A E E

Architecture & System Design

1 skills
Skills Jun Mid Sen Lead Princ
System Design Fundamentals A W A E E

Backend Development

6 skills
Skills Jun Mid Sen Lead Princ
Python Web Frameworks A W A E E
Apache Kafka A W A E E
Redis A W A E E
Task Queues A W A E E
Elasticsearch / OpenSearch A W A E E
S3 / Object Storage A W A E E

Cloud & Infrastructure

5 skills
Skills Jun Mid Sen Lead Princ
Docker A W A E E
Kubernetes Core A W A E E
Terraform A W A E E
AWS A W A E E
Network Fundamentals A W A

Data Engineering

14 skills
Skills Jun Mid Sen Lead Princ
Apache Spark A W A E E
dbt A W A E E
Pandas / Polars A W A E E
SQL-based ETL A W A E E
Stream Processing A W A E E
Delta Lake / Apache Iceberg A W A E E
Data Lake Architecture A W A E E
Data Warehouse Design A W A E E
Data Catalog A W A E E
Data Lineage A W A E E
Data Contracts A W A E E
Data Quality A W A E E
Apache Airflow A W A E E
Dagster / Prefect A W A E E

Database Management

9 skills
Skills Jun Mid Sen Lead Princ
PostgreSQL A W A E E
ClickHouse A W A E E
Apache Cassandra A W A E E
Database Indexing A W A E E
Query Optimization A W A E E
Replication & High Availability A W A E E
Backup & Disaster Recovery A W A E E
Data Modeling & Schema Design A W A E E
Database Migrations A W A E E

DevOps & CI/CD

1 skills
Skills Jun Mid Sen Lead Princ
GitHub Actions / GitLab CI A W A E E

Observability & Monitoring

4 skills
Skills Jun Mid Sen Lead Princ
Structured Logging A W A E E
Prometheus & Grafana A W A
OpenTelemetry A W A E E
SLI / SLO / SLA A W A E E

Programming Fundamentals

8 skills
Skills Jun Mid Sen Lead Princ
Algorithms & Complexity A W A E E
Data Structures A W A E E
OOP & SOLID Principles A W A E E
Design Patterns A W A E E
Multithreading A W A E E
Async Programming A W A E E
Code Quality & Refactoring A W A E E
Type Safety & Type Systems A W A E E

Security

3 skills
Skills Jun Mid Sen Lead Princ
OWASP & Application Security A W A E E
Secure Coding Practices A W A E E
JWT / OAuth2 / OIDC A W A E E

Testing & QA

3 skills
Skills Jun Mid Sen Lead Princ
Unit Testing A W A E E
Integration Testing A W A E E
E2E Testing A W A E E

Version Control & Collaboration

2 skills
Skills Jun Mid Sen Lead Princ
Git Advanced A W A E E
Code Review A W A E E

FAQ

What skills are needed for the Data Engineer role?

The Data Engineer role requires 64 skills, of which 186 are mandatory. Skills are distributed across 5 levels: from Junior to Principal. See full matrix.

How to advance to the next level in the Data Engineer role?

Use the Grade Calculator to assess your current level and get personalized recommendations. The system will show which skills need to be developed for the next level.

What tech stack is used in the Data Engineer role?

The stack includes 5 technologies at different levels. Python 3.11+, SQL, Apache Airflow, PostgreSQL/ClickHouse, pandas, Docker, Git, Python 3.12+, SQL advanced, Airflow, Spark/PySpark, ClickHouse/BigQuery, dbt, Kafka basics, S3/GCS, Python, Spark/Flink, ClickHouse/BigQuery/Snowflake, Kafka/Debezium, Delta Lake/Iceberg, Terraform, Kubernetes, Data lineage (OpenLineage)...

How does the community define requirements for the Data Engineer role?

Role requirements are shaped by the community through a proposal system. Any member can suggest changes that go through voting and expert review.

Community

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