Hiring
min read

How to Hire a Data Engineer for Remote Roles (2026)

July 27, 2026

How to Hire a Data Engineer for Remote Roles (2026)

Hiring a data engineer for remote roles? Across 374 live data engineer postings for remote roles, the market pays a $169K median salary (typically $140K–$200K). 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 for remote roles means competing with the companies below.

What the role requires (from 374 live remote postings)

What employers actually screen for, aggregated across 374 active data engineer postings for remote roles:

  • Experience: typically 5+ years of experience.
  • Languages: Python, Scala, Java, TypeScript, Go.
  • Frameworks: Node.js, Rails, React, Express, Spring.
  • Most-requested skills: Python, SQL, AWS, Airflow, Snowflake, Databricks, data pipelines, dbt.
  • Pay: a $169K median salary (typically $140K–$200K), base — equity typically on top.

What data engineers cost for remote roles

PercentileBase salary
25th$140K
Median$169K
75th$200K

Based on 163 data engineer postings for remote roles that disclose pay. Base only — equity is typically on top.

What the job actually asks you to do

Across the 253 data engineer postings for remote roles that spell out responsibilities:

  • 77% include scaling and performance work.
  • 49% include cross-functional partnership.
  • 45% include architecture and system design.
  • 35% include on-call or production ownership.
  • 20% include mentoring other engineers.
  • 11% include code review.

What we're seeing in the market right now

  • What the work is: of the 274 postings that specify, 69% data engineering, 15% platform engineering, 13% ML/AI, 1% infrastructure, 0% embedded/hardware.
  • Work model: 99% of the 357 postings that state one are remote or hybrid — the rest are onsite.
  • Equity: 43% of data engineer postings for remote roles mention equity alongside base pay.
  • Pay transparency: 44% of these postings disclose a salary range, so the numbers above rest on 163 real ranges.
  • Concentration: the ten companies below account for 13% of open data engineer roles for remote roles — you are mostly competing with them.
  • What's advertised alongside pay: 51% mention health insurance, 37% PTO, 16% parental leave, 13% a learning budget.

Companies hiring data engineers for remote roles

The companies with the most live data engineer openings for remote roles, 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
Netflix8SQL, Java, Scala
Samsara5$148KPython, Spark, PostgreSQL
MyNextHire5Python, GraphQL, Spark
Atlassian5Python, Databricks, SQL
Valtech4Python, Spark, Airflow
LMI4Data Pipelines
AB InBev4Python, SQL, AWS
Lovelytics4$153KDatabricks, AWS, GCP
CrowdStrike4$128KPython, Airflow, Snowflake
PointClickCare4$193KDatabricks, AWS, Azure

Who's hiring, by company stage

Where the data engineer demand sits across funding stages, across the 150 companies with the most live openings for remote roles:

StageCompanies hiringOpen rolesMedian pay (disclosed)Examples
Seed2028$185KNasstar, AspenView Technology Partners, Pivotal Health
Series A914Outmarket AI, Hone Health, SRSAcquiom
Series B1318$175KDefense Unicorns, Imagine Pediatrics, Tavus
Series C1115$195KJellyfish, Foodsmart, Sayari Labs
Series D+1728$155KLovelytics, SecurityScorecard, Alt
Public2549$153KNetflix, Samsara, Atlassian

A further 55 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 for remote roles command in 2026?

Across 374 live postings for remote roles, a $169K median salary (typically $140K–$200K) — 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, Airflow, Snowflake, Databricks, data pipelines, dbt), 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.

Related

Ready to hire?

Tell us about your open roles and we'll start sourcing within 48 hours.

Learn more from our blog

Visit our blog