Senior Data Engineer – LATAM

Job not on LinkedIn

🔥 2 hours ago

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lateral Group

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lateral Group is a profitable, award-winning design and technology company with over 20 years of experience designing and building digital products and transforming businesses. A globally distributed team of 200–300 engineers, designers and product specialists, the company offers product strategy, UX/UI, frontend and backend engineering, mobile development, and AI/ML capabilities to deliver high-quality, client-facing software solutions on time and on budget. Lateral Group primarily serves other organizations, partnering with clients to launch ventures and modernize products across industries.

📋 Description

• Stabilize and improve a sophisticated Snowflake data platform integrating 40+ data sources • Diagnose platform issues and prioritize what to fix first • Make reporting reliable and automate manual work • Support transactions, including buy/sell decisions, commercial leasing, and valuation • Provide benchmarks, fund and asset performance data, and management reporting • Improve access to information for day-to-day business decisions • Work directly with technical and business teams • Assess the strength of the existing platform • Raise engineering standards through code reviews, documentation, and constructive pushback • Participate in take-home work trials, engineering deep dives, and project-fit interviews

🎯 Requirements

• 5+ years in data engineering • Real ownership of a production data platform • Hands-on Snowflake experience, including warehouse sizing and cost management, MERGE patterns, streams and tasks, and clustering • Experience diagnosing and fixing pipelines not originally written by the candidate • Experience with slow queries, unexplained costs, and silent data quality failures • Experience designing, implementing, and maintaining ETL/ELT pipelines and data integration across many sources • Strong data modeling, including defining and enforcing grain, layered raw-to-staging-to-marts architecture, corrections, and late-arriving data • Advanced SQL, including window functions and query performance optimization • Experience with a transformation framework such as dbt or equivalent • Experience with an orchestrator such as Airflow, Dagster, or similar • Practical use of AI in engineering work • Ability to own work end to end from design through deployment and support • Clean code, documentation, testing, data quality, and data lineage mindset • Strong English communication and async collaboration skills • Proactive approach to problems • Ability to understand the business context behind data • Remote work eligibility in Latin America; listed locations include Argentina, Bolivia, Brazil, Chile, Costa Rica, Mexico, Paraguay, Peru, and Uruguay

🏖️ Benefits

• Meaningful products with measurable impact • Support for professional growth, exploring new paths, and greater responsibility • Self-managed, distributed work environment • Flexible async collaboration • Sustainable workload with no burnout or crunch • Profitable, independent company with over two decades of stability • Variety of projects and fresh challenges • Talented, kind, hard-working team culture • Global, distributed team of 200+ experts