Software Engineer, Data Platform

Benefits

Parental leave

Not verified not verified - source URL not recorded; timestamp not recorded

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Offered From the posting source checked Jun 20, 2026
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified

Salary

$200K-$236K From the posting source checked Jun 20, 2026

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

U.S. benchmark only; posted salary is not compared across countries or currencies.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Senior From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Software Engineer, Data Platform Hybrid - SF Bay Area About GlossGenius GlossGenius is the AI-powered system behind the world's most meaningful appointments, helping 100,000+ service businesses earn more revenue and free up time for the work they love. Our agentic workforce gets more clients in the door, grows profit per appointment, and keeps clients coming back - doing the jobs owners never had time for and couldn't justify hiring to fill. Businesses on GlossGenius process billions in annual payment volume, and see 65% more revenue using GlossGenius Payments by growing ticket size, rebooking clients at checkout, and saving on processing fees. About the Role This role is at the center of building a cohesive, reliable, and AI-ready data platform powering all aspects of GlossGenius' data platform and infrastructure. Core responsibilities include building out the operational data ingestion, event streaming, and reliability practices that our analytics engineers, ML engineers, and product teams depend on. If you thrive on both shaping and building end-to-end data pipelines serving customers in many roles, this will feel right. You must be commutable to our SF office. We default to being in-office 3 days per week. What You'll Do : - Architect and build the core ingestion pipelines that move data from production systems, relational databases, and distributed datastores into our Snowflake and Clickhouse warehouses via near-real-time streaming and batch workflows - Own data platform reliability end-to-end: monitoring, incident response, SLOs, and the unglamorous work of keeping things running for 100,000+ service businesses - Design and

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