Senior Data Engineer – Databricks Experience

🕒 September 11

🌐 Mexico, Uruguay, +1 more countries – Remote

🇲🇽 Mexico – Remote 🇺🇾 Uruguay – Remote 🇦🇷 Argentina – 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 and apply data transformations • Recommend data cleansing and data quality solutions • Analyze data sources and recommend their inclusion in analytical processes • Implement data governance, data security, and data quality practices • Collaborate across teams to support delivery • Educate end users on data products and analytic environments • Analyze, assess, and resolve moderate-complexity data and system defects and incidents • Test data movement, transformation code, and data components

🎯 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 working with Azure, AWS, or GCP • Experience with CI/CD and GenAI • Strong SQL and PySpark skills • Excellent communication, collaboration, and leadership skills • Experience with Databricks Genie and Databricks Apps is a strong plus • Experience delivering 5+ projects using Databricks is a strong plus • Bachelor’s Degree in Computer Science or Engineering related field • English level required

🏖️ Benefits

• Professional development and career advancement opportunities • Access to cutting-edge technologies and industry leaders in data engineering and AI • Collaborative and supportive team culture • Knowledge-sharing opportunities • Equal opportunity and unbiased hiring practices