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Data Engineering

What does a Data Engineer do?

Writes and maintains the jobs that copy data from source systems into the warehouse.

High demand Team: Pipeline / Ingestion Reports into: Data Engineering

What they actually do

Hiring demand

High demand. Large, steady volume of postings across industries. A realistic target for an active job search.

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Who they work with

Enterprise apps (source owners)Analytics engineeringData quality

Typical tools

AirflowFivetranKafkaPythonSparkSQL

Skills to get there

Title ladder

Common titles for this role at each level. Companies vary; see Role titles decoded.

LevelTypical titles
EntryJunior / Associate Data Engineer · Data Engineer I
MidData Engineer · Data Engineer II
SeniorSenior Data Engineer · Lead Data Engineer
Expert (IC track)Staff / Principal Data Engineer
Management trackManager, Pipeline / Ingestion → Director of Pipeline / Ingestion → VP
See the free training path →

See current openings

Searching for: Data Engineer · anywhere in the US · change

Also try:

Opens the job board's own search; results and counts are theirs.

How to get here

Salary (US) as of 2026-11

Median$135K
Typical range$101K–$174K
Senior / manager$223K

Sources:

PayScale base skews lower than Glassdoor total pay; senior ICs at tech firms exceed the range shown.

Experience to get here

Entry level0-2 years (often via analyst, SWE or bootcamp)
Typical title3-6 years; senior postings ask 5-12

Bachelor's in CS, engineering, statistics or math is required or preferred in postings; the Qode posting accepts relevant experience instead.

Typical prior roles

Data AnalystAnalytics EngineerSoftware EngineerETL / BI DeveloperDatabase Administrator

Must have

Milestones people hit first

Certifications

Preferredin postings: sometimes
Exam fee$150
TrainingAWS Skill Builder free tier; paid practice exams optional
Renewalpass latest exam every 3 years
Typical total$150-300

Time: 130-minute exam, 65 questions; 2-3 months prep
Prerequisites: 2-3 yrs data engineering and 1-2 yrs hands-on AWS recommended

AWS data certs are listed as preferred in the Qode posting; AWS is the most-named cloud in DE postings.

Preferredin postings: sometimes
Exam fee$200
Trainingfree Databricks fundamentals videos; paid Academy courses optional
Renewal$200 retake of current exam every 2 years
Typical total$200-400

Time: 90-minute exam, 45 scored questions; ~6 weeks prep
Prerequisites: none required; related training recommended

Databricks (Spark, Delta, Unity Catalog) appears as required experience; the Associate is the entry credential.

Nice to havein postings: sometimes
Exam fee$200
TrainingGoogle Cloud Skills Boost paths (some labs need credits)
Renewalretake every 2 years
Typical total$200-400

Time: 2-hour exam; ~8 weeks prep
Prerequisites: 3+ yrs industry incl. 1+ yr designing on Google Cloud recommended

The credential for BigQuery shops; also listed as preferred in the KORE1 architect template.

Nice to havein postings: sometimes
Exam fee$175
Trainingfree Snowflake Hands-On Essentials badges
Renewalvalidity period not stated on vendor page
Typical total$175 (third-party figure; vendor page does not list fees)

Time: 115-minute exam, 100 questions; 4-6 weeks of prep
Prerequisites: 6+ months of Snowflake use (candidate profile)

Snowflake is a required skill in the Bellevue posting; the cert is a quick signal.

Nice to havein postings: sometimes
Exam feenot published
Trainingfree Microsoft Learn modules
Renewal$0; free online renewal assessment
Typical totalexam fee varies by country (pricing on request)

Time: 100-minute exam; 6-8 weeks prep
Prerequisites: SQL, PySpark and KQL familiarity expected; replaces the retired DP-203

Microsoft's Fabric Data Engineer credential; DP-203 retired on 03/31/2025.

Training & learning

Sources & notes

Levels.fyi Data Engineer page not available. The Insight Global Bellevue posting named no certification; cert frequencies rest on the Qode posting and the KORE1 template, so none is rated 'often'.

Figures are US, from the sources listed, and change often; verify before deciding.

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