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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 Snowflake
    Staff ML Engineer — Customer AI
    Snowflake 4.5 · 200 reviews

    Enterprise teams hire machine learning engineer talent through forward-deployed staff — model deployment on Snowflake ML, Cortex, and secure data pipelines in Chicago and remote US.

    Hire ML engineerMLOpsSnowflake MLPython
    Chicago, ILHybrid
    $155k – $210k / year
    Easy applyFull-time10 applicants
    Posted Oct 1, 2026Quick preview
  • Logo Snowflake
    ML Apprenticeship — Enterprise Analytics
    Snowflake 4.4 · 336 reviews

    Atlanta apprenticeship helping enterprise customers adopt ML on Snowflake — workshops, SQL, and starter models.

    ApprenticeshipAtlantaMLSQL
    3340 Peachtree Rd NE, Atlanta, GAHybrid
    $60k – $76k / year
    Easy applyApprenticeship30 applicants
    Posted Sep 23, 2026Quick preview
  • Logo Databricks
    Data Engineer Apprenticeship — Lakehouse
    Databricks 4.4 · 192 reviews

    Apprenticeship on batch and streaming pipelines, data quality checks, and MLflow experiment tracking.

    ApprenticeshipSparkDelta LakeETL
    10900 NE 4th St, Bellevue, WAHybrid
    $70k – $88k / year
    Easy applyApprenticeship14 applicants
    Posted Sep 23, 2026Quick preview
  • Logo Snowflake
    Data Analyst Apprenticeship — Cortex
    Snowflake 4.4 · 183 reviews

    Apprenticeship building customer analytics dashboards, SQL models, and GenAI demo datasets on Snowflake Cortex.

    ApprenticeshipSQLAnalyticsSnowflake
    233 S Wacker Dr, Chicago, ILHybrid
    $62k – $78k / year
    Easy applyApprenticeship13 applicants
    Posted Sep 23, 2026Quick preview

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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.