ETL Developer
Impact: Data Infrastructure
Designs, develops, and maintains Extract, Transform, and Load (ETL) processes to move data between various systems, ensuring data quality and integrity for analytical and operational needs.
In their words
As an ETL Developer, I find immense satisfaction in building robust data pipelines that power critical business insights. The challenge lies in optimizing performance and ensuring data quality across diverse sources, but seeing the impact of clean, accessible data makes it all worthwhile.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 70% Team / 30% Solo
- Client facing
- Sometimes
- Impact visibility
- High
- Travel
- Minimal travel, primarily for team meetings or specific project phases.
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 40-50 hours/week
- Stress level
- High
At a glance
- Median salary
- $110,000
- Entry-level
- $70,000 - $90,000
- Senior
- $140,000+
- Growth by 2033
- 10 percent (faster than average)
- Demand
- Growing Fast
- Freelance potential
- Moderate
- Salary growth potential
- Strong growth potential with experience and specialization in data warehousing and big data technologies.
- Typical student debt
- $20,000 - $40,000
Skills you'll use
Hard skills
- SQL
- Data Warehousing
- ETL Tools (e.g.
- Informatica
- SSIS)
- Scripting (Python
- Shell)
- Database Management
- Data Modeling
Soft skills
- Problem Solving
- Attention to Detail
- Communication
- Analytical Thinking
- Adaptability
Technical complexity: Very High
Tools you'll work with
Core tools
- SQL (standard): Querying and manipulating relational databases
- Informatica PowerCenter (software): Enterprise ETL platform for data integration
Common tools
- SSIS (SQL Server Integration Services) (software): Microsoft's ETL tool for data warehousing
- Python (software): Scripting for data processing and automation
- Cloud Data Warehouses (e.g., Snowflake, Redshift) (platform): Storing and analyzing large datasets in the cloud
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 5
- Years to senior
- 10
- Career switching
- Moderate
Where this career leads
How people arrive here
- Database Administrator: Transitioning from managing databases to focusing on data movement and transformation.
- Business Intelligence Analyst: Moving from data analysis to the underlying data infrastructure and ETL processes.
Where you can go from here
- Data Engineer: Expanding scope to include broader data pipeline development, big data technologies, and data architecture.
- Data Architect: Designing and overseeing the overall data strategy, including data warehousing and ETL frameworks.
Typical progression
- ETL Developers can advance to Data Engineer, Data Architect, or Business Intelligence Developer roles, often specializing in big data or cloud platforms.
Future outlook
- Automation probability
- 15 percent - low risk
- AI disruption risk
- Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 7.8/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7.5/10
- Social perception
- Moderate
Find your community
Professional organisations
- TDWI (The Data Warehousing Institute): Provides education, research, and best practices for data warehousing and business intelligence professionals.
Podcasts and media
- Data Engineering Weekly: A weekly newsletter covering the latest in data engineering, ETL, and data warehousing.
Reddit communities
- r/dataengineering: A community for data engineers to discuss tools, techniques, and career advice.