Yalo Inc.

Sr Staff Data Engineer

Yalo Inc. · Cordoba, Argentina

Posted 7 days ago

or apply directly on Yalo Inc.'s site. We never take the application ourselves.

Is this posting real?

This role has been open
7 days
Yalo Inc.'s roles stay open a median of 7 days
Reposted
No
Salary listed
No
0% of Yalo Inc.'s roles list one
Ghost-job risk at Yalo Inc.
low
0 stale, 0 reposted of 6 open
Hiring momentum
8 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-10-06

Measured from postings appearing on and disappearing from Yalo Inc.'s own greenhouse board since 2026-08-03. Full hiring picture for Yalo Inc..

About this role

The Sr. Staff Data Engineer at Yalo will be responsible for owning and evolving the data platform that supports analytics, dashboards, and AI agents. This role involves defining the architecture, ensuring data governance, and maintaining high uptime for data pipelines while collaborating with various teams to keep the data flow reliable and efficient. The engineer will also set technical standards and mentor other engineers, focusing on creating a robust data infrastructure.

Our read on this posting3.6out of 5
benefits
3/5
freshness
5/5
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 Yalo Inc. as an employer.

What you need

  • Bachelor's or Master's in Computer Science, Data Engineering, or a related field or equivalent hands-on experience
  • 8+ years in Data Engineering or Analytics Engineering with significant experience in technical ownership
  • Deep expertise with modern data stacks: Airflow, dbt, BigQuery, Kafka, and GCP-native tooling
  • Strong understanding of streaming pipelines, orchestration, ELT, and real-time data systems
  • Proficiency in Python, SQL, and infrastructure-as-code (Terraform or equivalent)
  • Experience designing and operating semantic/metrics layers (dbt Semantic Layer, LookML, Cube, or equivalent)

What you get

  • Unlimited PTO policy
  • Competitive rewards on the market range
  • Remote/Hybrid working available
  • Flexible time driven by results
  • Start-up environment
  • International teamwork

Worth weighing

  • No salary listed
  • Role is focused on technical ownership, not management
  • Candidates must be comfortable with ambiguity in cross-team architecture problems

Summarised from Yalo Inc.'s posting. Read the full original.

Listed by Yalo Inc. on their greenhouse job board, last confirmed open on 2026-10-06. PitchMeAI is not the employer.

More roles at Yalo Inc.

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