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Hire a data engineer

Data engineer, pipelines, lakehouse — US data platform hiring, no commission.

4 listings available

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4 jobs

  • Logo Databricks
    MLOps Engineer
    Databricks 4.5 · 180 reviews

    MLOps engineer for mountain west SaaS customers — model registry, feature stores, and GPU scheduling.

    MLOpsDenverSparkMLflow
    Denver, COHybrid
    $135k – $180k / year
    Easy applyFull-time31 applicants
    Posted 4 days agoQuick preview
  • Logo Snowflake
    ML Engineer — Cortex AI
    Snowflake 4.5 · 200 reviews

    Build managed LLM and embedding features inside the Snowflake data cloud.

    SQLPythonLLMSnowpark
    Remote · USRemote
    $150k – $205k / year
    Easy applyFull-time33 applicants
    Posted 6 days agoQuick preview
  • Logo Databricks
    Senior Data Engineer
    Databricks 4.5 · 200 reviews

    Build reliable ingestion and transformation pipelines for AI-ready datasets.

    SparkDelta LakePythonScala
    Austin, TXHybrid
    $140k – $185k / year
    Easy applyFull-time23 applicants
    Posted 6 days agoQuick preview
  • Logo Databricks
    GenAI Solutions Architect
    Databricks 4.5 · 200 reviews

    Help Fortune 500 customers deploy Mosaic AI and lakehouse GenAI patterns.

    SparkLLMRAGEnterprise
    San Francisco, CAHybrid
    $155k – $210k / year
    Easy applyFull-time21 applicants
    Posted 6 days agoQuick preview

Related searches

Hire a data scientistHire an MLOps engineerAI talent pool for recruiters

Hire a data engineer in the United States — employer guide 2026

The data engineer market stays tight: 45–90 day median time-to-hire, competition from scale-ups and consultancies. Ganloss centralizes active profiles and qualified applicants on an AI-focused platform.

Publish for free, access the talent pool, and get Google for Jobs indexing. Salary ranges below come from real Ganloss listings.

Recommended hiring process

1) Define level (junior, mid, senior) and exact stack. 2) Write a posting with measurable scope and salary shown — transparent posts get roughly 2× more applicants. 3) Source on Ganloss + LinkedIn. 4) Validate with a short case (2–3 hours max).

See the data engineer role guide and competitor listings to calibrate your package.

FAQ

What does hiring a data engineer cost?
Observed median salary: $110–165k/year (full-time). Agency budget: 15–25% of annual salary; Ganloss: $36/month all-in, no hire commission.
How long to hire a data engineer?
45–90 days on average by seniority and remote policy. Senior LLM/MLOps profiles often close in 4–8 weeks with a tight process.
How many data engineer profiles on Ganloss?
0 profiles matching open roles. Publish yours to capture active applicants.
How do I post a job on Ganloss?
Create a recruiter account, write your listing (title, scope, salary, stack), and publish in minutes. Google for Jobs indexing included.