What is the salary for Senior Data Engineer at Databricks?

Listed range: $140k – $185k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.

Where is the Senior Data Engineer role based?

Austin, TX, Austin (Texas). Work mode: Hybrid.

How do I apply to Databricks?

Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0011. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.

Is Databricks hiring other AI roles?

Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

Senior Data Engineer

Databricks· Austin, TX· Ref. EXP-2026-0011 4.5 (2,100 reviews)

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Salary: $140k – $185k / year
Type: Full-time
Location: Austin, TX · Austin (Texas) · Hybrid
Valid through: 10/31/2026

Additional details

Posted: Posted 4 days ago
Applications: 23; on Ganloss
Experience: Mid · 3+ years
Education: BS/MS CS, ML, or equivalent experience
Region: Texas
Team: Databricks — AI team
Company size: 5000+
Founded: 2013

Job description

Databricks is hiring a Senior Data Engineer (Full-time) hybrid. This data engineer role is part of the AI hiring market in Austin (Texas). Build reliable ingestion and transformation pipelines for AI-ready datasets. Listed compensation: $140k – $185k / year. Stack: Spark, Delta Lake, Python, Scala.

Data Engineer profiles are in high demand in Austin: Austin’s tech scene keeps growing with AI product, robotics, and data roles at scale-ups and enterprise R&D labs.…

The team

Databricks — AI team

Responsibilities

Ship production AI features with measurable quality and latency targets
Partner with product and design on roadmap and customer feedback
Improve observability, evals, and safe rollout practices

Requirements

Strong Python or TypeScript fundamentals and 3+ years relevant experience
Hands-on LLM, ML, or data platform work in production
Clear written communication and async collaboration

Tech stack

SparkDelta LakePythonScala

Benefits

Health, dental, vision

401(k) match

Equity

Learning budget

Flexible PTO

Hiring process

1Recruiter screen (30 min)
2Technical interview (60 min)
3Team fit
4Offer

Experience: Mid · 3+ years · Education: BS/MS CS, ML, or equivalent experience

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FAQ — Senior Data Engineer

What is the salary for Senior Data Engineer at Databricks?: Listed range: $140k – $185k / year (Full-time). Packages often include PTO, remote options, and equity depending on the company.
Where is the Senior Data Engineer role based?: Austin, TX, Austin (Texas). Work mode: Hybrid.
How do I apply to Databricks?: Create a free Ganloss candidate account, then apply in one click. Job reference: EXP-2026-0011. Process: Recruiter screen (30 min) → Technical interview (60 min) → Team fit → Offer.
Is Databricks hiring other AI roles?: Databricks (Data & ML platform) hires across LLM, ML, data, and AI product. See all openings on the Ganloss company page.

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