---
title: 'Mid-level Data Engineer at SunnyData'
canonical: 'https://feeny.ai/job/mid-level-data-engineer-sunnydata-uruguay-w3zqmtejfwvm'
type: 'job'
last_seen: '2026-09-05'
---

# Mid-level Data Engineer at SunnyData

- **Company:** SunnyData
- **Location:** Uruguay
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-07-27
- **Last confirmed live:** 2026-09-05
- **Apply:** https://jobs.ashbyhq.com/sunnydata/613f670d-ce01-4b77-b6a5-272b7ef7936f

## Job description

Are you ready to jump start your career in the exciting and innovative data engineering field?

At SunnyData 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 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

- Highly motivated individual with a continuous learning mindset. Excellent time management and prioritization skills.
- Strong English verbal and written communication skills.
- Familiarity with public cloud platforms AWS, Azure or GCP.
- Nice to have: 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)
- 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:

SunnyData 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 SunnyData?

- 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.

If you are passionate about data engineering and enjoy engaging with clients to solve their most challenging problems, we would love to hear from you. Apply today and become a key player in SunnyData's success story.

## About SunnyData

## Company Overview
- **One-liner**: SunnyData is a premier Databricks systems integrator that specializes in data engineering, migrations, AI/ML, and data governance for regulated industries.
- **Entity Type**: Private (funding not publicly disclosed)
- **Headquarters**: Minneapolis, Minnesota, United States
- **Founded**: Not publicly available
- **Founders**: Allen Becker, Kai Thapa, Santiago Carrera, Jeronimo Acosta, Brock Noland

## Core Business
- **Primary industries**: IT Services and IT Consulting; focused exclusively on the Databricks Lakehouse Platform
- **Target customers**: B2B enterprise – Financial Services, Healthcare & Life Sciences, Retail, and other regulated, data-intensive sectors
- **Mission or purpose**: Build rock-solid data engineering foundations to turn AI aspirations into measurable, trustworthy outcomes; bridge the gap between proof-of-concept and production impact

## Products & Services
- **[Data Engineering](https://www.sunnydata.ai/)**: Robust pipelines and data architecture enabling AI, BI, and analytics initiatives with faster, fewer failures and measurable ROI.
- **[Migrations to Databricks](https://www.sunnydata.ai/)**: Zero-disruption migration services designed to go live fast and stay live longer, with architecture that opens doors for future use cases.
- **[Data & AI Governance](https://www.sunnydata.ai/)**: Governance built on Databricks Unity Catalog, delivering audit-ready compliance and unified governance across data and AI assets.
- **[AI & Data Science](https://www.sunnydata.ai/)**: Moving AI initiatives from pilot to production, enabling faster decisions backed by trustworthy models.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: 110 employees (as of mid-2026), with 329.4% year-over-year headcount growth; 9,330 LinkedIn followers (+97.2% yearly)
- **Notable Investors/Partners**: Pure-play Databricks partner; technology ecosystem includes Fivetran, Prophecy, Montecarlo, and Sigma
- **Growth Signals**: Rapid expansion across 6 countries (Uruguay, Argentina, Mexico, Nepal, India, USA); 23 active job postings; 75% improvement in time to value for clients; delivery 25% faster than average Databricks partner

## Competitive Advantages
- **Pure‑play focus on Databricks** – deeper expertise than generalist consultancies, with Databricks‑certified engineers and a Databricks MVP on staff
- **Senior‑heavy teams** – experienced practitioners do the hands‑on work, no junior generalists
- **Deep industry knowledge** – regulatory and compliance expertise in financial services, healthcare, and retail
- **Nearshore delivery model** – primary delivery from Uruguay (within 3 hours of all U.S. time zones, top‑tier data talent)

## Strategic Focus
- Deepen Databricks mastery and expand AI/ML production deployment capabilities
- Continue to scale nearshore talent in Latin America while serving U.S. clients
- Further embed governance and compliance into every engagement to accelerate AI adoption in regulated industries

## Why Work Here
- **Culture**: Engineer‑led environment where senior practitioners solve real‑world challenges; values include technical excellence, ownership, and continuous learning
- **Work model**: Remote or hybrid options available; offices in Minneapolis (HQ) and Montevideo, Uruguay
- **Perks & growth**: Fast‑growing company (329% YoY) with exposure to cutting‑edge Databricks and AI stacks; opportunities to work with Fortune 500 clients and shape the data strategy of regulated enterprises
- **Tech stack**: Databricks, Fivetran, Prophecy, Montecarlo, Sigma – a modern, cloud‑native toolchain

## Sources
1. [sunnydata.ai](https://www.sunnydata.ai/)
2. [sunnydata.ai/our-story](https://www.sunnydata.ai/our-story)
3. [sunnydata.ai/careers](https://www.sunnydata.ai/careers)
4. [linkedin.com/company/sunnydata](https://www.linkedin.com/company/sunnydata)
5. [builtin.com/company/sunnydata](https://builtin.com/company/sunnydata)

## Other roles at SunnyData

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- [QA Engineer](https://feeny.ai/job/qa-engineer-sunnydata-argentina-ytkprp303qxm) — Argentina
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