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How to Hire a Data Engineer (2026)

July 27, 2026

How to Hire a Data Engineer (2026)

Hiring a data engineer in the US? Across 3,992 live data engineer postings in the US, the market pays a $170K median salary (typically $134K–$205K). Recruiting from Scratch is the contingency technical recruiting firm for these hires — a 29-day average time to hire, 300+ placements, and a 2M+ candidate network.

What a data engineer does

A data engineer builds and maintains the data pipelines, warehouses, and infrastructure the business runs on. Hiring one in the US means competing with the companies below.

What the role requires (from 3,992 live US postings)

What employers actually screen for, aggregated across 3,992 active data engineer postings in the US:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Java, Scala, JavaScript, Go.
  • Frameworks: Fastapi, Express, React, Node.js, Flask.
  • Most-requested skills: Python, SQL, AWS, data pipelines, Snowflake, Spark, Airflow, Databricks.
  • Pay: a $170K median salary (typically $134K–$205K), base — equity typically on top.

What data engineers cost in the US

PercentileBase salary
25th$134K
Median$170K
75th$205K

Based on 827 data engineer postings in the US that disclose pay. Base only — equity is typically on top.

What the job actually asks you to do

Across the 1,634 data engineer postings in the US that spell out responsibilities:

  • 75% include scaling and performance work.
  • 51% include cross-functional partnership.
  • 44% include architecture and system design.
  • 35% include on-call or production ownership.
  • 21% include mentoring other engineers.
  • 9% include code review.

What we're seeing in the market right now

  • What the work is: of the 1,818 postings that specify, 72% data engineering, 12% ML/AI, 11% platform engineering, 2% infrastructure, 1% product engineering.
  • Specializations: data engineering (60%), eng leadership (28%), backend (3%), technician (2%), platform (2%).
  • Work model: 82% of the 1,797 postings that state one are remote or hybrid — the rest are onsite.
  • Equity: 17% of data engineer postings in the US mention equity alongside base pay.
  • Pay transparency: 21% of these postings disclose a salary range, so the numbers above rest on 827 real ranges.
  • Concentration: the ten companies below account for 13% of open data engineer roles in the US — you are mostly competing with them.
  • What's advertised alongside pay: 23% mention health insurance, 12% PTO, 5% parental leave, 8% a learning budget.

Companies hiring data engineers in the US

The companies with the most live data engineer openings in the US, with what each pays and screens for (medians shown only where at least 3 postings disclose pay):

CompanyOpen data engineer rolesMedian pay (disclosed)Top skills
Bluelightconsulting97Python, Spark, SQL
ExlService Holdings80$124KPython, SQL, Spark
Capital One61$211KJava, Python, AWS
Amazon57$132KSQL, AWS, Python
MyNextHire48SQL, Python, Java
Devoteam NV46Python, SQL, GCP
Sopra Steria38Python, Databricks, AWS
Jobgether34$215KSQL, CI/CD, Python
Amgen31Python, Spark, Databricks
Barclays Sustainable And Impact Banking29Data Pipelines, AWS, Python

Who's hiring, by company stage

Where the data engineer demand sits across funding stages, across the 150 companies with the most live openings in the US:

StageCompanies hiringOpen rolesMedian pay (disclosed)Examples
Seed984$175KJobgether, Weekday 1, CapTech Consulting
Series A425$180KLadders, Quantiphi, Sequoia Capital
Series B537Chase, Bristlecone Inc, JPMorganChase
Series C112Cognito
Series D+15114$188KBosch Group, OKX, 3Pillar Global
Public64715$169KExlService Holdings, Capital One, Amazon

A further 52 of those companies have no funding stage on file and are not shown above.

How to run this search well

  • Ask about a pipeline that broke and how they made it not break again — reliability instincts are the core skill.
  • Screen SQL depth genuinely. It remains the highest-signal, most-skipped filter in data hiring.
  • Name your warehouse and orchestration stack up front — data engineers filter on it immediately.

How Recruiting from Scratch hires data engineers

Recruiting from Scratch is a contingency technical recruiting firm — no retainer and no upfront cost, so you pay only when you make a hire. The process: align on the role and must-haves → a curated shortlist of 3–5 genuinely qualified data engineers (not resume volume) → a 29-day average time to hire versus the 49-day industry average → a 90-day replacement guarantee. Backed by 300+ placements, a 2M+ candidate network, and named hires at companies like Decagon and Mercor.

FAQ

What does a data engineer do?

A data engineer builds and maintains the data pipelines, warehouses, and infrastructure the business runs on.

What salary does a data engineer in the US command in 2026?

Across 3,992 live postings in the US, a $170K median salary (typically $134K–$205K) — base only; equity is typically on top. Most postings expect 5+ years of experience.

What should you look for when hiring a data engineer?

Depth in the skills these postings require (Python, SQL, AWS, data pipelines, Snowflake, Spark, Airflow, Databricks), plus pipeline and warehouse experience, strong SQL, and distributed-data fluency. Recruiting from Scratch sends a shortlist of 3–5 genuinely qualified candidates, not resume volume.

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