Data Engineer

Technology AI-Augmented

Builds and maintains the systems that allow data scientists to access and interpret data.

Work Profile

Stress

4/10

Work-Life

7/10

Future Outlook

9/10

Hours / Week

Salary Growth

Starting

$95,000

Year 5

$145,000

Year 10

$145,000

Top Earners

$240,000

Promotion Path: Junior Data Engineer > Data Engineer > Senior Data Engineer > Data Architect.

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Core Skills and Tools

These are the practical tools, systems, math, and AI skills used in Data Engineer roles.

AI & Automation

AI creative tools

AI-assisted development tools

Machine learning libraries

Core Skills

3D modeling

Contract administration

Engineering testing

Policy and procedure development

Workflow management

Industry Knowledge

Data governance

Foreign service eligibility

Real estate appraisal

Regulatory compliance

Security clearance

Math & Analysis

A/B testing

Data visualization

Requirements

Bachelor's degree requirement

Degree field requirement

Systems & Software

AWS cloud services

CI/CD pipelines

Cloud infrastructure

Data modeling

Data orchestration tools (Airflow, dbt)

Data pipeline engineering

Data warehouse platforms

Data warehousing

Database optimization

Dimensional modeling

ETL / data pipelines

Infrastructure automation

Oracle

Power BI

Python

SQL

Snowflake

Spark and PySpark optimization

Tableau

Version control

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Answer a few skill questions and see your personalized skill gap, recommended projects, and a step-by-step plan to get closer to this role.

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Other Potential Career Pivot Paths

Many professionals start in Data Engineer roles and later move into higher-paying or more specialized careers by developing additional skills.

Database Developer

Move between related career paths by building adjacent skills and experience.

Typical Salary: $120000-$180000

Skills Needed: etl,sql,python,data modeling

Difficulty: 🟡 Moderate

View Career →

How to Get Hired

This section focuses on practical readiness: what skills matter, what tools or certifications may help, and what you can do now to become more employable.

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See the exact skills, certifications, projects, and step-by-step plan to break into Data Engineer.

Certifications that actually help
Real projects to build experience
A 30–60 day action plan

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AI Impact & Task Breakdown

AI-Augmented

AI helps automate data cleansing and pipeline generation.

How to Stay Valuable

Develop judgment, communication, and problem-solving skills
Learn how AI tools can support this career instead of ignoring them
Move toward strategy, interpretation, and higher-value work over time

AI Scores

Automation Risk: 5.56/10 Human Value: 8.67/10 AI Leverage: 7.89/10

Based on 9 analyzed tasks

More likely automated

Build data pipelines
Model and organize data structures

Still requires human judgment

Collaborate with analysts and developers
Maintain pipeline reliability

How AI Affects This Job

This career includes a mix of tasks. Some are becoming more automated, while others are becoming more valuable because they require human expertise.

Build data pipelines

Develop workflows that move transform and load data from source systems into analytics platforms

High Automation Risk High Human Value High AI Leverage

Automation: 7/10 • AI Leverage: 9/10 • Human Value: 8/10

Likely adoption: 0-2 years