Data Engineer
Brex · San Francisco, California, United States
Posted about 3 months ago · $120,800 - $151,000
or apply directly on Brex's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 102 days Brex's roles stay open a median of 103 days
- Reposted
- No
- Salary listed
- Yes 90% of Brex's roles list one
- Ghost-job risk at Brex
- high 288 stale, 16 reposted of 288 open
- Hiring momentum
- 61 roles opened in the last 90 days ↓ down vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-11-14
Measured from postings appearing on and disappearing from Brex's own greenhouse board since 2026-08-03. Full hiring picture for Brex.
About this role
As a Data Engineer at Brex, you will transform raw data into actionable insights by designing and maintaining data models and pipelines. You will collaborate with Data Scientists and Software Engineers to meet data needs, ensure data quality, and integrate various data sources. Your role will also involve setting standards for data management and acting as a liaison between technical and non-technical teams.
- benefits
- 1/5
- freshness
- 1/5
- career value
- 4/5
- role clarity
- 4/5
- pay transparency
- 5/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Brex as an employer.
What you need
- 3+ years of experience in Data Engineering, Data Analytics, or a related field
- Advanced knowledge of databases and SQL
- Experience integrating and orchestrating data workflows with various modern data tools and systems
- Experience with data modeling, ETL/ELT processes, and data warehousing solutions
- Experience working with a data warehouse such as Snowflake
- Experience with a data workflow orchestrator tool such as Airflow
Nice to have
- Familiarity with BI tools such as Looker, Tableau, or similar platforms
- Solid dbt in production: models, tests, docs, and collaboration in a shared repo
- AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions
- Experience with Salesforce data integration
What you get
- Up to four weeks per year of fully remote work
- Hybrid work environment requiring a minimum of three coordinated days in the office per week
Worth weighing
- No specific mention of career advancement opportunities or training programs
- Salary range provided but starting pay depends on various factors
- Hybrid work model may not suit everyone
Summarised from Brex's posting. Read the full original.
Listed by Brex on their greenhouse job board, last confirmed open on 2026-11-14. PitchMeAI is not the employer.
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