Databricks
Staff Software Engineer, Data Collection (Tags & SDKs)
New York City, New York · Staff+
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$2,561 more — $193,461 — moves this role to Level IV and 4 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $193,461 would place this position at wage Level IV. That figure is within the posted range, and I'd like to target it. This role classifies under "Software Developers" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Software Developers (15-1252) · New York-Newark-Jersey City, NY-NJ. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
Employer immigration record
from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Green-card intent detected
Green-card follow-through: 52%
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About the role
- First-party data collection is the entry point for everything downstream.
- It also runs on other people's websites and inside other people's apps, which raises the bar from a quality, reliability, and development experience.
- The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
Responsibilities
- Lead identity handling that spans anonymous and authenticated records, across devices and sessions
- Lead integrations with other CustomerLake products like Profile & Campaign Agents
- Partner closely with product management, design, and other engineering teams to build intuitive, scalable, and extensible solutions that drive user & business growth
- 10+ years of engineering experience, including time as a tech lead, or leading other tech leads, on complex enterprise software projects
- Strong ability to collaborate across product, engineering, and design teams to align technical strategy with company growth objectives
- Experience building a CDP, analytics SDK, or tag management product (Nice to have)
Requirements
- Experience with incident response for code deployed on customer (Nice to have)
Compensation
- Databricks is committed to fair and equitable compensation practices.
- The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
- Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
- The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.
- Local Pay Range
- $190,900 - $253,750 USD
Benefits
- At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.
- For specific details on the benefits offered in your region click here.
Company info
- P-1607 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs.
- Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
- At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
Equal opportunity
- Our Commitment to Diversity and Inclusion
This listing is sourced directly from Databricks's careers page and normalized into a canonical job model.