Mid-level Data Engineer

Reposted One Month Ago
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Hiring Remotely in México
Remote
Mid level
Information Technology • Software • Analytics
The Role
Design, build, and operationalize scalable data solutions and pipelines for customers. Analyze and transform data, ensure data quality/governance/security, test data movements, troubleshoot incidents, and collaborate with teams to support AI/ML and BI use cases.
Summary Generated by Built In

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.

Skills Required

  • Bachelor's Degree in Computer Science or Engineering related field
  • Highly motivated, continuous learning mindset with excellent time management and prioritization skills
  • Strong English verbal and written communication skills
  • Familiarity with public cloud platforms (AWS, Azure or GCP)
  • Experience with Data Engineering technologies (Spark, Hadoop, Kafka)
  • Experience with Data Science and Machine Learning technologies (pandas, scikit-learn, HPO)
  • Experience with Data Warehousing (SQL, OLTP/OLAP/DSS)
  • Databricks data engineering or machine learning certification

SunnyData Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about SunnyData and has not been reviewed or approved by SunnyData.

  • Healthcare Strength Health insurance is considered to start on day one for employees and eligible family members, which is positioned as a meaningful advantage. Feedback suggests coverage timing and inclusivity are clear for U.S. roles.
  • Leave & Time Off Breadth Paid time off is described as at least 15 days annually plus 9 company holidays for U.S. roles. This indicates a solid baseline that aligns with standard professional services expectations.
  • Flexible Benefits Remote-first work with no relocation required is highlighted, offering location flexibility across multiple countries. This flexibility is presented as a notable non-cash perk.

SunnyData Insights

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The Company
HQ: Minneapolis, Minnesota
103 Employees

What We Do

SunnyData is a Databricks-centered partner with deep Data Engineering roots, exclusively focused on migrating, modernizing and scaling data solutions on the Databricks platform. We bridge the gap between concept and real-world impact, recognizing that a solid Data Engineering foundation is essential for successful AI, ML, Data Science, and Analytics projects. Our expertise ensures that advanced technologies are implemented effectively, turning lab-driven innovation into tangible business outcomes and measurable ROI. Founded by data architects and engineers with a proven track record, our leadership team includes early adopters of Spark and leaders in Apache big data projects. With over 20 years of experience across Cloudera, Informatica, and phData, our team features a Databricks MVP, enabling us to solve the most complex data challenges. What We Specialize In: + Data Engineering + Data Migrations to Databricks + GenAI & Data Science + Data & AI Governance with Unity Catalog * Our deep industry expertise in Financial Services, Healthcare & Life Sciences, and Retail enables us to deliver highly contextualized solutions for regulated and data-driven sectors. We operate and deliver from both the USA and Uruguay. We chose Uruguay for its strategic location (within 3 hours of all U.S. timezones), top-tier data talent (#1 exporter in LATAM), and innovative culture, providing the fastest internet in LATAM and offering universal and free quality education.

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