Data Engineer
DENG.GEN.P2
Data Engineers design and own complex pipelines and data storage solutions.
The story of this role
Who does this work
A Data Engineer who wants to master the art of building efficient data pipelines and infrastructure to empower organizations with actionable insights.
The problem this role solves
- The external problem: Organizations struggle with unorganized data and lack proper infrastructure to harness it for decision-making.
- The internal problem: The Data Engineer feels overwhelmed by the complexity of data systems and the pressure to deliver insights quickly.
- Why it matters: Every organization deserves to have seamless access to its data to drive innovation and growth.
The plan
- Develop expertise in critical thinking to analyze complex data requirements.
- Enhance reading comprehension to stay updated with the latest technologies and methodologies in data engineering.
- Utilize active listening skills to understand stakeholder requirements and challenges in data management.
- Apply complex problem-solving skills to design and implement robust data architectures.
- Leverage knowledge in geography, biology, and electronics to build specialized data solutions tailored to different industries.
What's at stake
Inadequate data infrastructure leads to missed opportunities and poor decision-making in the organization. The Data Engineer feels stagnant in their career due to a lack of effective skills and misalignment with organizational needs.
Success looks like
The organization efficiently accesses and utilizes its data, leading to informed decision-making and strategic growth. The Data Engineer becomes a trusted expert in their field, driving data strategy and innovation within the organization.
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 →
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