Mid-level Data Engineer

Sunnydata
Uruguay
On-site

Who this role is best for

Strong fit for data engineers who build scalable architectures and engage directly with customers, as the role emphasizes designing and deploying solutions across multiple client accounts in a Uruguay-based team environment.

Best fit for

  • Candidates who can manage multiple client engagements and deliver tailored data solutions.
    — “Actively work across multiple customer accounts which you would need to track and report on their progress
  • Individuals who guide technical decisions and educate users on data products.
    — “Guide customers to make the best technical decisions to achieve their goals
  • Professionals with experience in data governance, security, and quality management.
    — “Incorporate core data management competencies including data governance, data security and data quality
  • Engineers comfortable with cloud platforms and emerging data or ML technologies.
    — “Familiarity with public cloud platforms AWS, Azure or GCP

Things to consider

  • The role requires supporting both new and existing customers in their data engineering needs.
    — “supporting new and existing customers in their data engineering needs
  • You will need strong English communication skills for client and team interactions.
    — “Strong English verbal and written communication skills
  • Bachelor’s degree in Computer Science or Engineering is a stated requirement.
    — “Bachelor’s Degree in Computer Science or Engineering related field

How to stand out

  • Showcase experience with Databricks certifications or real-world ML deployment projects.
    — “Databricks data engineering or machine learning certification
  • Demonstrate how you have resolved data issues and improved system reliability.
    — “Perform data and system analysis, assessment and resolution for defects and incidents
  • Highlight examples of collaborating across teams to deliver data products.
    — “Collaborate within and across teams to support delivery and educate end users
  • Provide evidence of evaluating and integrating new data sources for analytics.
    — “Analyze data sources to determine their value and recommend them to include in analytical processes
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • design, build and deploy data solutions
  • analyze data sources
  • incorporate core data management competencies
  • collaborate within and across teams
Typical background
Bachelor’s Degree in Computer Science or Engineering related field

Skills & requirements

Required

Data EngineeringData WarehousingData GovernanceData SecurityData QualityData TransformationData Cleansing

Preferred

SparkHadoopKafkaPandasscikit-learnDatabricks

Stack & domain

AWSAzureGCPSparkHadoopKafkaPandasscikit-learnSQLDatabricks Data Engineering Or Machine Learning Certification

About the role

Original posting from Sunnydata via Ashby

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.

Source: Sunnydata careers (Ashby)

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