Software Engineer, Growth Data Platform
Omni
Remote · San Francisco, CA · $170k–$250k a year · Posted September 8, 2026
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $210,000 a year. Across 787 open software engineer listings that state pay, the middle half runs $157,500 to $248,500 and the median is $195,000. That is inside the middle half of those listings, 8% above the median.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among software developers, AI is already used for some of the tasks. Measured exposure for software developers: 29% (some).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
ABOUT OMNI
Omni is the AI analytics platform that turns company data into a trusted source of truth for AI. Built on a semantic model, Omni gives teams a governed context graph, so everyone gets the same trusted answer. Ask in plain English, refine in workbooks, or bring your data into tools like Claude, ChatGPT, Cursor, and Slack.
Our team has spent decades building data platforms, and we started Omni to fix problems we saw firsthand. Today, we help customers like Condé Nast, BambooHR, and Synthesia get better answers from their data. We're headquartered in San Francisco and have raised $217M from top investors including ICONIQ, Theory Ventures, and Redpoint Ventures. Our latest $120M Series C valued us at $1.5B.
If you like helping people get more from their data, come build with us. We’d love to hear from you.
RESPONSIBILITIES
- Build and scale the data platform that turns messy GTM signals into reliable, auditable workflows
- Design queues, and workers for enrichment, routing, assignment, and activation
- Integrate external data sources and APIs across CRM, sales engagement, ads, first and third party intent, and enrichment vendors
- Work directly with various GTM teams to turn one-off experiments into reusable platform primitives
- Debug production issues across Snowflake, dbt, Dagster, AWS, vendor APIs, webhooks, and downstream business systems
ABOUT YOU
- 2+ years of experience building data platforms, backend systems, workflow engines, or data / ML infrastructure
- Deep experience with analytical data systems such as Snowflake, Databricks, BigQuery, dbt, Spark, Airflow, Dagster, or similar tools
- Track record of owning complex, end-to-end systems that serve real users or business-critical workflows
- Clear judgment about data modeling, schema evolution, contracts, lineage, and long-term maintainability
- You care whether the workflow actually works, whether customers trust it, and whether downstream teams can explain the output
- Strong debugging instincts
TECH STACK
You are not expected to have experience with every tool listed below, but you should be excited to work across data infrastructure, backend services, and orchestration.
- Snowflake as the warehouse and operational data store for modeled data, queues, workflow state, and activation outputs
- dbt for transformation, data models, and tests
- Dagster for orchestration of scheduled jobs, dependency-aware workflows, and operational retries
- AWS Batch and Lambda for custom workers, vendor enrichment jobs, webhook handling, and stateful background processing
- Fivetran
- Python and SQL
- Terraform and GitHub Actions
- Soda
- Omni
LOCATION
This role allows for a hybrid schedule in our SF headquarters. If you are based anywhere else in the US, the role is remote.
Omni is an equal opportunity employer. We value diversity and encourage you to apply even if you don’t check every single box. Please, let us know if you need any reasonable accommodations during the interview process.