Data Engineer
DENG.GEN.P2
P2P2 — Developing Professionalmedium0.70draftglobalv1
Data Engineers design and own complex pipelines and data storage solutions.
Summary
Data Engineers design and own complex pipelines and data storage solutions.
Level — P2 — Developing Professional
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
Core outputs
No core outputs recorded yet.
Adjacent roles
Nearest roles by structural coordinates (level + taxonomy). Distance 0 → 1; each carries its 3-state match band. How coordinates work →
P1
DENG.GEN.P1
Data Engineering Entry/Mid
P3
DENG.GEN.P3
Senior Data Engineer
P4
DENG.GEN.P4
Lead Data Engineer / Staff-level
P2
DSAISE.GEN.P2
Developing
P2
OPTI.GEN.P2
Developing
P2
SWE.GEN.P2
Associate
Components
Responsibilities8
- Design and own complex pipelinescommonlevel
- Ensure data qualitycommonlevel
- Optimize data storage solutionscommonlevel
- Implement data security measurescommonlevel
- Collaborate with data scientists to support advanced analyticscommonlevel
- Develop and maintain ETL processescommonlevel
- Conduct performance tuning of data systemscommonlevel
- Document and improve data engineering processescommonlevel
Tasks5
- Design complex data pipelines.commonlevel
- Ensure data quality.commonlevel
- Optimize storage solutions.commonlevel
- Implement security measures.commonlevel
- Support analytics.commonlevel
Skills8
- Big data toolscommonlevel
- Data warehousingcommonlevel
- ETL developmentcommonlevel
- Data quality assurancecommonlevel
- Data securitycommonlevel
- Performance tuningcommonlevel
- Process documentationcommonlevel
- Advanced SQLcommonlevel
Knowledge8
- Big data technologiescommonlevel
- Data warehousingcommonlevel
- ETL processescommonlevel
- Data security practicescommonlevel
- Performance optimizationcommonlevel
- Advanced SQL techniquescommonlevel
- Data governancecommonlevel
- Analytics supportcommonlevel
competency8
- Proficiency with big data toolscommonlevel
- Data warehousing conceptscommonlevel
- Analytical thinkingcommonlevel
- Problem-solvingcommonlevel
- Attention to detailcommonlevel
- Communicationcommonlevel
- Project managementcommonlevel
- Data securitycommonlevel
qualification5
- Proficiency with big data toolscommonlevel
- Designed a data pipeline end-to-endcommonlevel
- Bachelor’s degree in Computer Science or related fieldcommonlevel
- 2-4 years of experience in data engineeringcommonlevel
- Certification in big data technologiescommonlevel
Title aliases
| Alias | Type | Confidence | Approved |
|---|---|---|---|
| Data Engineering II | common | medium0.70 | — |
| Data Engineering 2 | common | medium0.66 | — |
| Data Engineer II | common | medium0.70 | — |
| Data Engineer 2 | common | medium0.66 | — |
| Data Engineer | common | medium0.50 | — |
Classification mappings
O*NET / SOC
- code=15-0000title=Computer & Mathematical Occupationssource=inferred_from_superfunctionreviewStatus=needs_review