Senior Data Engineer – LatAm Only

Job not on LinkedIn

🔥 1 minute ago

🌐 Brazil, Chile, +2 more countries – Remote

🇧🇷 Brazil – Remote 🇨🇱 Chile – Remote 🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote

⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

👻 Ghost score 17%

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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R2 Companies

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏗️ Construction

💼 Consulting

🏠 Real Estate

Construction • Consulting • Real Estate

R2 Companies is a real estate investment and development firm with a focus on identifying and capitalizing on opportunities across various markets. The company operates multiple headquarters in Chicago, Minneapolis, and Milwaukee, emphasizing their strategic reach and presence in the Midwest of the United States. They engage with the community through various leasing and management services and maintain active communication channels via social media and newsletters.

📋 Description

• Design and maintain data pipelines, ELT processes, and the data warehouse • Create robust ingestion pipelines across integrations with partners • Build extraction, transformation, and loading processes for diverse data sources • Maintain documentation of data architecture and processes • Implement data models in the data warehouse to standardize and denormalize data from multiple sources • Automate processes by implementing and maintaining a robust data orchestration system • Build integration components generalizable across multiple platforms • Ensure data integrity by setting up alerts for data update failures • Contribute to financial infrastructure supporting SMBs across Latin America

🎯 Requirements

• 5+ years working in Python • Deep software engineering skills • Experience with ELT patterns and tools such as Airbyte or Fivetran • Experience with data orchestration systems and pipeline tools such as Airflow, Astronomer, Dagster, or equivalent • Expert knowledge of SQL and data modeling with relational databases and data warehouses • Experience implementing data modeling and transformation jobs with tools such as dbt • Proficiency with git-based version control • Experience contributing to architecture and design of data processing systems, including reliability, monitoring, and scaling • Experience collaborating with analysts, data scientists, and machine learning engineers • Experience with cloud data warehouses such as Redshift, Snowflake, or BigQuery • Experience working within the AWS ecosystem • Experience working with third-party APIs

🏖️ Benefits

• Eligible team members have the opportunity to participate in R2’s Phantom Share Program, a performance-based incentive • Equipment provided by R2 • Training budget for professional development • Career growth within R2 • Chance to join a high-impact, mission-driven fintech with regional scale • Cross-functional collaboration with exceptional teams across Latin America