Sr Data Ops Engineer at Coderio
Uruguay
—
Aug 17, 2026
Uruguay
Sep 24, 2026
What this job asks for AI summary
A DataOps Engineer / Technical Referent role at a digital consultancy, sitting at the intersection of data engineering, cloud infrastructure, and DevOps. The position involves customer-facing requirements gathering, designing and proposing scalable data solutions, building Python/Terraform automation, managing AWS cloud infrastructure, and establishing DataOps best practices for international clients.
Senior level · Remote
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We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 490 people nationally plausibly meet what this posting asks for (database architects). range 300–740
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (6)
No work location or CBSA is specified in the posting; the role appears to be fully remote and international in scope. The primary work location cannot be confirmed as US-based, but the US-based flag defaults to true given the ambiguity.
The role title 'DataOps Engineer, Technical Referent' carries no seniority level word, so advertised seniority is Unspecified; however, the breadth of responsibilities (customer-facing architecture, end-to-end ownership, DataOps policy design) supports a Senior classification.
SOC classification is Medium confidence: the role blends data pipeline/warehouse architecture (15-1243) with substantial software development (Python, Terraform, APIs) pointing toward 15-1252. The data modeling, data lake/warehouse, and DataOps design emphasis tips the balance toward 15-1243.
AWS service names (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS) are individually enumerated in the Requirements section and are treated as hard gates collectively under the 'Cloud & Tooling Mastery' requirement block.
AWS certifications (Solutions Architect, Developer, DevOps Engineer) appear under 'Nice to Have' and are marked as preferred accordingly.
No compensation figures, employment type, or degree requirement are stated in the posting.
Read the full posting
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