P2P2 — Developing Professional
Data Engineer
Data Engineers design and own complex pipelines and data storage solutions.
What this level means
Early-career professional; developing skills, handles routine tasks with some independence
- Scope
- Defined deliverables / small features
- Autonomy
- General supervision; reviewed at milestones
- Complexity
- Some non-routine problems; applies established patterns
- Impact
- Own and immediate-team deliverables
- Decision rights
- Routine technical choices within guidance
- Leadership
- May guide interns
- Typical experience
- 1–3 yrs
What you'd do
- Design and own complex pipelines
- Ensure data quality
- Optimize data storage solutions
- Implement data security measures
- Collaborate with data scientists to support advanced analytics
- Develop and maintain ETL processes
- Conduct performance tuning of data systems
- Document and improve data engineering processes
- Design complex data pipelines.
- Ensure data quality.
- Optimize storage solutions.
- Implement security measures.
- Support analytics.
Skills, knowledge & tools
- Big data tools
- Data warehousing
- ETL development
- Data quality assurance
- Data security
- Performance tuning
- Process documentation
- Advanced SQL
- Big data technologies
- Data warehousing
- ETL processes
- Data security practices
- Performance optimization
- Advanced SQL techniques
- Data governance
- Analytics support
- Proficiency with big data tools
- Data warehousing concepts
- Analytical thinking
- Problem-solving
- Attention to detail
- Communication
- Project management
- Data security
What good looks like
- Proficiency with big data tools
- Designed a data pipeline end-to-end
- Bachelor’s degree in Computer Science or related field
- 2-4 years of experience in data engineering
- Certification in big data technologies
Common titles
Data Engineering IIData Engineering 2Data Engineer IIData Engineer 2Data Engineer
Where it sits & what it pays
O*NET / SOC: 15-0000 — Computer & Mathematical Occupations(inferred · under review)
Market-pay benchmarks for this family × level are coming — JobFrame anchors pay to the family/level structure rather than the raw title.