Senior Data Engineer

🕒 June 8

🌐 United States, Uruguay, +2 more countries – Remote

🇺🇸 United States – Remote 🇺🇾 Uruguay – Remote 🇦🇷 Argentina – Remote 🇲🇽 Mexico – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 40%

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 on progress • Design, build, and operationalize complex data solutions • Correct problems and apply data transformations • Recommend data cleansing and quality solutions • Analyze data sources to determine value and recommend data for analytical processes • Incorporate data governance, data security, and data quality practices • Collaborate across teams to support delivery • Educate end users on data products and analytic environments • Perform data and system analysis, assessment, and resolution for moderately complex defects and incidents • Test data movement, transformation code, and data components

🎯 Requirements

• 5+ years of related experience in data engineering and data product development • Experience with one or more of: Spark, Hadoop, Kafka • Databricks platform experience; data engineering and/or ML ops experience is a bonus • Experience with data science and machine learning technologies such as pandas, scikit-learn, and HPO • Experience with data warehousing, including SQL, OLTP, OLAP, or DSS • Solid understanding of the end-to-end data analytics workflow • Demonstrated domain expertise and in-depth knowledge of immediate systems worked on • Proven problem-solving and debugging skills • Strong verbal and written communication skills • Intermediate leadership skills and a proven track record of self-motivation in identifying personal growth opportunities • Excellent time management and prioritization skills • Knowledge of public cloud platforms such as AWS, Azure, or GCP is a plus • Databricks Certification is nice to have • Bachelor’s Degree in a STEM-related field or equivalent • Legally authorized to work in the United States

🏖️ Benefits

• Health insurance coverage for employees and eligible family members, including spouses, domestic partners, and children, from the first day of employment • Minimum of 15 days Paid Time Off annually • Nine paid company Holidays • Opportunities to grow technical and people skills • Opportunities to lead teams on complex, innovative customer projects • Professional development and career advancement opportunities • Innovative environment with cutting-edge technologies and industry leaders • Collaborative culture valuing collaboration and knowledge sharing • Performance-based cash incentive awards