What does a Data Engineer do?
From 10,369 current Data Engineer postings that list skills.
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What the job involves
- Design and build scalable data pipelines to ingest and process large datasets.
- Develop and maintain data models using SQL and transformation tools.
- Implement data quality controls and monitoring to ensure system reliability.
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Optimize data systems for performance, scalability, and cost efficiency.
- Document data architectures and provide technical guidance to the team.
Summed up from 30 recent Data Engineer job postings.
Skills employers ask for
- SQL 6 in 10 postings
- Python 6 in 10 postings
- Data Engineering 6 in 10 postings
- Data Pipeline 4 in 10 postings
- Data Modeling 4 in 10 postings
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Out of 10,369 postings that list skills.
Certifications and licenses
- AWS Certification 1 in 35 postings
What employers name in their postings. Rules differ by state.
Experience asked for
- No experience needed 1 in 200 postings
- 1 to 2 years 1 in 10 postings
- 3 to 4 years 3 in 10 postings
- 5 years or more 6 in 10 postings
Typical ask: 5 years.
Education asked for
- High school diploma or GED 1 in 130 postings
- Bachelor's degree Almost all postings
- Master's degree 1 in 45 postings
Among postings that say.
Is this role in demand?
3,163 open Data Engineer jobs across the US right now.
Most openings
- California437 open
- New York322 open
- Virginia305 open
- Texas251 open
- Illinois131 open
Typical pay $150,000 a year (most between $127k and $177k). See the full salary breakdown