We create the foundations for the AI future

Data and AI projects are easy to get excited about . Making them hold up in production is the hard part... That’s what we focus on: solid data engineering underneath , so the pipelines feeding AI actually work.

OUR TOOLS

Databricks and the modern data stack

We build on Databricks because it's the most complete data and AI platform out there, and it's only getting more central as AI moves faster. One platform for data engineering and AI/ML, cloud-native, scalable, and versátil enough to fit how a real business runs.

Our partners in tech

Alongside Databricks, we work with a focused set of partners: Fivetran, Prophecy, Monte Carlo, and Sigma, that plug straight into the Lakehouse and help us move fast without piling on complexity.

THE TEAM

The values driving us Find a way

We focus on solutions, meeting challenges with grit and creativity.

Move with purpose

We act with urgency, stay focused on impact, and adapt quickly.

Own the outcome

We own both wins and misses, and treat every outcome as ours to shape.

Earn Trust

We show up with sincerity and integrity, communicating with respect and keeping our promises.

Win as One

We achieve success by actively sharing knowledge, collaborating openly, and lifting each other up.

JOIN US

Location

Argentina

Employment Type

Full time

Location Type

Remote

Department

Delivery

At Sunny Data our mission is to help our customers in their data journey to power their business. We believe a solid foundation is the key to achieving outstanding data driven results: highly scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications. As a Senior Data Engineer , you will play a critical role during this customer journey. You will directly work with internal teams and customers to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and Business Intelligence insights.

The Impact You Will Have

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.

What We Look For

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.

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.

Education:

Bachelor’s Degree in Computer Science or Engineering related field.

Our Commitment to Diversity and Inclusion:

Sunny Data is dedicated to building a workforce that reflects the world around us. We are an equal opportunity employer committed to unbiased hiring practices. All qualified applicants will receive consideration for employment without regard to race, religion, gender identity, disability, veteran status, or any other protected characteristic.

Why Join Sunny Data?

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.

Your safety matters to us

We want to make sure your job search with Sunny Data is a safe one. Here’s how to tell it's really us:

Genuine Sunny Data recruiters reach out only from @ addresses.

If we ever loop in an outside recruiting partner, they'll say so upfront and identify Sunny Data by name.

We will never ask you for money, fees, or bank details at any point before your first day.

Get a message that feels off? Don't click anything on it. Go straight to /careers to check our current openings and confirm what's real.

Some of our benefits

Here's what you can count on as part of the team.

Remote first.

We meet our talent where they are. Work from anywhere, no relocation required.

Room to grow.

Mentorship from senior leaders, and real growth opportunities as we keep expanding.

Real learning.

Time and support to go deeper on the tools and problems you actually care about.

Horizontal by design, so hierarchy doesn't get in the way of being heard.

Specifics like healthcare, PTO, and other country-level details vary by location. We'll walk you through these additional benefits as you move through the process.

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📌 Senior Data Engineer (Argentina)
🏢 SunnyData
📍 Argentina