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How to become a Data Engineer

Data engineers build and maintain the pipelines that move, clean and store data at scale, so analysts and models always have reliable data to work with.

Updated regularly
How this data works
Quick answer

To become a Data Engineer, build the skills employers ask for most — SQL, Python and ETL lead current data engineer listings; the role pays a median of $109,727, based on 1,882 active listings.

Source: Datamata Studios — methodology and update cadence.

At a glance

  • Suits people who enjoy systems thinking, automation and writing production code more than ad-hoc analysis.
  • Built from 1,882 active data engineer listings — SQL is the single most-requested skill, in 15% of postings.
  • Median data engineer pay is $109,727 across 1,577 listings with disclosed salary ranges.
Active listings0in the current index
Median pay$0disclosed ranges
Top skillSQLin 15% of listings
Most common levelMid54% of postings

The skills employers ask for most

Ranked by how often each skill appears across active data engineer listings. Learn these first.

The path in

A practical route from where you are to a first data engineer role.

  1. 1

    Build the core skills

    Most data engineer listings ask for the same handful of tools. Start with the ones employers mention most often — they are the fastest route to clearing the first screen.

    SQLPythonETLAWSAzure
  2. 2

    Prove it with projects

    Ship two or three portfolio projects that use those skills end to end — real data, a public repo and a short write-up of the decisions you made. Demonstrated work beats a list of keywords.

  3. 3

    Target the right level

    54% of current data engineer postings sit at the mid level — that is where most people break in. Aim applications at that band before reaching higher.

  4. 4

    Get past the resume screen

    Mirror the language of live data engineer postings in your resume so it matches what recruiters and ATS filters scan for. Tailor each application to the specific skills listed.

Skills that boost data engineer pay

Median pay when each skill appears in a data engineer listing with disclosed salary (minimum three matches).

  • 1Kotlin$216,000
  • 2A/B Testing$207,600
  • 3Apache Iceberg$200,856
  • 4Dagster$180,000
  • 5Flink$180,000
  • 6System Design$164,021

Where you will start

How current data engineer listings break down by seniority — a sense of where the openings are.

Entry3%52 listings
Mid54%1,017 listings
Senior43%813 listings

Pay

Data Engineer salary: $109,727 median

Most disclosed ranges fall between $70,000 and $143,858. See the full percentile breakdown, seniority shifts and skill premiums.

View data engineer salary data

Ready to apply for data engineer roles?

Build a resume that mirrors what data engineer listings actually ask for. Start with the role-specific resume guide.

Resume guideBuild your resume

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Data Engineer career FAQ

How do I become a Data Engineer?

Build the skills employers actually ask for — currently SQL, Python and ETL lead data engineer listings, prove them with portfolio projects, then tailor your resume to live listing language. Most data engineer openings are at the mid level, so target that band first.

What skills do you need to be a Data Engineer?

Across 1,882 active data engineer listings, the most-requested skills are SQL, Python, ETL, AWS, Azure. SQL appears in 15% of postings.

How much does a Data Engineer earn?

The median data engineer salary is $109,727, with most disclosed ranges falling between $70,000 and $143,858, based on 1,577 listings with employer-published pay.

Is Data Engineer a good career in 2026?

There are 1,882 active data engineer listings in our current index. You can track week-over-week demand for the underlying skills on the live skill-trends dashboard.

Related tools

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Build your data engineer resumeData Engineer salarySkill demand

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