Data & Insight Engineer - Work From Home

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 & Insight Engineer, you will play a pivotal role in ensuring the accuracy, reliability, and accessibility of our data, enabling the organization to derive meaningful insights and make informed decisions.

How you'll contribute

Collaborate with cross-functional teams to understand data requirements and objectives.

Develop and maintain efficient data pipelines for data collection, processing, and cleaning.

Utilize your expertise in Python and AI to enhance data processing and analysis capabilities.

Work with platforms such as AEP, Google Cloud, and AWS to manage and optimize data infrastructure.

Explore and implement best practices for data quality, integrity, and security.

Collaborate with stakeholders to identify and address data-related challenges.

Stay current with industry trends and emerging technologies in data engineering.

This would make you the ideal candidate

Bachelor's Degree in Computer Science, Engineering, or a related field.

5+ Years of experience working with Python (Data manipulation, scripting, and automation).

5+ Years of experience working with Datasets & Data Collection.

3+ Years of experience working with Cloud (AWS, GCP, AEP).

2+ Years of experience working with Artificial Intelligence (LLMs, RAG models – Machine Learning).

2+ Years of experience working with Airflow or Snowflake.

Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.

What to expect from our hiring process

1. Let's chat about your experience

2. Impress our recruiters, and you'll move on to a technical interview with our top developers.

3. Nail that, and you'll meet our client - your final step to joining our amazing team

At Nearsure, we're dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team

We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.

Let's work together to shape the future of technology

Apply now

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