Senior Data Engineer – Databricks Experience

🕒 September 11

🌐 Argentina, Uruguay, +1 more countries – Remote

🇦🇷 Argentina – Remote 🇺🇾 Uruguay – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

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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SunnyData

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

SunnyData is a Databricks-focused data engineering and AI consulting firm that helps organizations modernize their data platforms, migrate legacy EDWs and data lakes to Databricks, and operationalize AI/ML and GenAI initiatives. The company provides Databricks-certified engineers, migration accelerators, data governance, MLOps, and domain expertise for industries such as healthcare and financial services.

📋 Description

• Support new and existing customers with their data engineering needs • Guide customers in making technical decisions to achieve their goals • Work across multiple customer accounts and track and report progress • Design, build, and operationalize complex data solutions • Fix issues, apply transformations, and recommend data cleansing and quality solutions • Analyze data sources and recommend inclusion in analytical processes • Implement data governance, data security, and data quality practices • Collaborate across teams to support delivery and educate end users on data products and analytic environments • Perform data and system analysis, assessment, and resolution for moderate-complexity defects and incidents • Test data movement, transformation code, and data components • Design, build, and deploy data solutions supporting AI, ML, and BI insights

🎯 Requirements

• 7+ years of related experience in data engineering and data product development • 3+ years of experience in a consulting environment • Strong knowledge of the Databricks platform • Experience with legacy-to-Databricks migration projects • Hands-on experience with DAB, clustering techniques, and performance optimization • Familiarity with other data platforms and technologies • Experience with Azure, AWS, or GCP, CI/CD, and GenAI • Strong SQL and PySpark skills • Excellent communication, collaboration, and leadership skills • Bachelor's Degree in Computer Science or an engineering-related field • English Level: Basic, Intermediate, or Advance selectable in the application form

🏖️ Benefits

• Opportunities for professional development and career advancement • Work with cutting-edge technologies and industry leaders in data engineering and AI • Collaborative culture with knowledge sharing • Customer impact through strategic data decision-making • Remote work arrangement