Senior Data Engineer

🕒 July 29

🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 28%

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

• Be part of a team responsible for supporting new and existing customers in their data engineering needs. • Guide customers to make the best technical decisions to achieve their goals. • Actively work across multiple customer accounts which you would need to track and report on their progress. • Design, build and operationalize complex data solutions, fix issues, apply transformations, and recommend data cleansing / quality solutions. • Analyze data sources to determine their value and recommend them to include in analytical processes. • Incorporate core data management competencies including data governance, data security and data quality. • Collaborate within and across teams to support delivery and educate end users on data products / analytic environments. • Perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate. • Test data movement, transformation code, and data components.

🎯 Requirements

• 5+ years of related experience in data engineering and data product development. • Experience in one or more of the following: • - Data Engineering technologies (e.g., Spark, Hadoop, Kafka) • - Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO) • - Data Warehousing (e.g., SQL, OLTP/OLAP/DSS) • Solid understanding of the end to end data analytics workflow. • Demonstrated track record of domain expertise including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on. • Proven problem solving skills including debugging skills. • Strong English verbal and written communication skills. • Leadership - Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities. • Excellent time management and prioritization skills. • Nice to have: knowledge of public cloud platforms AWS, Azure or GCP. • Nice to have: Databricks data engineering or machine learning certification.

🏖️ Benefits

• Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI. • Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making. • Career Growth: Opportunities for professional development and career advancement. • Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.