or apply directly on MrBeast's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 15 days MrBeast's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 52% of MrBeast's roles list one
- Ghost-job risk at MrBeast
- high 64 stale, 1 reposted of 96 open
- Hiring momentum
- 118 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from MrBeast's own greenhouse board since 2026-08-03. Full hiring picture for MrBeast.
About this role
As a Data Engineer at Beast Industries, you will be responsible for building and operating data pipelines that support both operational telemetry and analytics for various products. Your role involves ensuring real-time data freshness and reliability, translating vague requirements into robust pipeline designs, and embedding AI tools into the data engineering workflow. You will collaborate with data science, product, and SRE teams to create a data infrastructure that informs product decisions across a large user base.
- benefits
- 5/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
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 MrBeast as an employer.
What you need
- 3+ years building and operating production data pipelines for high-volume consumer products
- Hands-on experience in event instrumentation, schema design, and data quality at scale
- Strong experience with streaming and batch data pipelines
- Experience with event-driven architectures
- Familiarity with at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent)
- Ability to translate vague requirements into robust pipeline design
Nice to have
- Experience in consumer products, media, gaming, or ads
- Familiarity with sessionization and identity stitching at scale
- Prior work alongside data science or product analytics teams
- Experience using AI tools in data engineering workflows
What you get
- Highly competitive equity package
- Hybrid model with expected ~3 days per week in-office
- Competitive salary
- Generous medical, dental, vision, and company-paid life insurance
- Company contributions to employee Health Savings Accounts (HSA)
- 401k plan with Safe Harbor company-matching
Worth weighing
- No specific salary listed
- The role involves building from scratch with no legacy constraints, which may be appealing for those looking for innovation but could also mean initial challenges in establishing processes
- The emphasis on AI tooling suggests a modern approach but may require candidates to be adaptable to new technologies
- The hybrid work model may not suit everyone, especially those preferring fully remote roles
Summarised from MrBeast's posting. Read the full original.
Listed by MrBeast on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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