(1058) Senior Data Engineer

Explore the Nearsure experience! 

🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management. 

🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values. 

⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins. 

Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best. 

Ready to grow with us? 🚀 
 
Here’s what we offer you by joining us! 
 
✨ Competitive USD salary 💲 – We value your skills and contributions! 

🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!  

💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!  

🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture. 

😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better. 

💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance! 

🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nearsure family and feel part of our vibrant community. 

🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family! 
 
 
About the project 
 
As a Senior Data Engineer, you will play a key role in ensuring data is accurate, accessible, and actionable to support internal decision-making processes. This is a great opportunity to work on meaningful projects that contribute to the development of infrastructure across the U.S. 
 
 
How your day-to-day work will look like 
 
✅ Build and maintain ETL pipelines using Azure Data Factory. 
✅ Manage and query relational databases (SQL). 
✅ Collaborate with stakeholders to understand data requirements and deliver robust solutions. 
✅ Ensure data integrity, availability, and quality across systems. 
✅ Participate in debugging, optimization, and automation of data workflows. 
 
This would make you the ideal candidate 
 
✨ Bachelor's Degree in Computer Science, Engineering, or a related field. 
✨ 5+ Years of experience working with ETL processes, including data extraction, transformation, and loading using modern data tools. 
✨ 5+ Years of experience working on data warehouse environments with star schema architecture or data lake environments. 
✨ 3+ Years of experience working with Azure Data Factory (ADF), building and orchestrating data pipelines. 
✨ Strong SQL skills, including writing complex queries and optimizing performance for large datasets. 
✨ Experience designing and maintaining