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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

At a glance

  • Suits people who enjoy systems thinking, automation and writing production code more than ad-hoc analysis.
  • Built from 735 active data engineer listings — Scala is the single most-requested skill, in 25% of postings.
  • Median data engineer pay is $103,962 across 523 listings with disclosed salary ranges.
Active listings0in the current index
Median pay$0disclosed ranges
Top skillScalain 25% of listings
Most common levelMid56% of postings

The skills employers ask for most

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

  • 1Scala25%
  • 2SQL21%
  • 3Python20%
  • 4Data Pipeline19%
  • 5AWS16%
  • 6Stakeholder Mgmt14%
  • 7Azure14%
  • 8Spark12%

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.

    ScalaSQLPythonData PipelineAWS
  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

    56% 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).

  • 1Elasticsearch$216,000
  • 2Kotlin$216,000
  • 3Flink$207,600
  • 4Kubernetes$207,600
  • 5Node.js$183,500
  • 6Redshift$170,000

Where you will start

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

Entry2%17 listings
Mid56%410 listings
Senior42%308 listings

Pay

Data Engineer salary: $103,962 median

Most disclosed ranges fall between $66,052 and $146,637. 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.

Explore other career paths

Data Engineer career FAQ

How do I become a Data Engineer?

Build the skills employers actually ask for — currently Scala, SQL and Python 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 735 active data engineer listings, the most-requested skills are Scala, SQL, Python, Data Pipeline, AWS. Scala appears in 25% of postings.

How much does a Data Engineer earn?

The median data engineer salary is $103,962, with most disclosed ranges falling between $66,052 and $146,637, based on 523 listings with employer-published pay.

Is Data Engineer a good career in 2026?

There are 735 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

Free utilities and Pro tools that use the same listings.

Other hubs and tools that use the same job postings.