Applaudo Studios
More roles at Applaudo StudiosSenior Data Engineer (Azure Databricks)
Remote role where the employee must remain based in a particular country.
Costa Rica only
From the listing details: Source listing states candidate location: "San José, San José Province, Costa Rica, San José, San José Province, cr, Remote"
Employer listed it 4 days ago · Added 4 days ago
First listed 4 days ago and still open.
Salary
Not stated
Location
Costa Rica only
Timezone
Not stated
Contract
Part-time
Experience
Senior
Category
Data
The employer did not publish a salary, and we have too few comparable roles to estimate one.
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
- Not mentioned in the advert
- Where you can work from
Strong English communication skills, with the ability to collaborate effectively with a US-based team.
- Contract
- Not mentioned in the advert
- Experience asked for
5+ years of professional experience in Data Engineering, designing, building, and maintaining production-grade data pipelines.
- Pay
- Not mentioned in the advert
Remote flexibility
Work from home
This is a remote role, but the employee must be based in Costa Rica. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "San José, San José Province, Costa Rica, San José, San José Province, cr, Remote"
- Job description states: "US-based"
What Nomaders makes of it
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Questions worth asking: Nomaders interpretation
- No pay is stated. Ask for the salary range before investing time in interviews.
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About You
You are a Senior Data Engineer passionate about building scalable, production-grade data pipelines and transforming complex data from multiple sources into reliable, business-ready datasets. You thrive when working with Azure Databricks, Python, and Spark to solve data integration challenges and support enterprise data ecosystems.
You enjoy connecting data across business platforms, optimizing data transformations, and ensuring accuracy and consistency throughout the data lifecycle. You take ownership of your work, ask the right questions early, and proactively communicate risks and blockers. You value clear documentation, technical discipline, and delivering high-quality solutions that support business needs.
 
You Bring to Applaudo the Following Competencies:
5+ years of professional experience in Data Engineering, designing, building, and maintaining production-grade data pipelines.
Strong hands-on experience with Azure Databricks.
Advanced Python skills for data processing, transformation, and pipeline development.
Solid experience with Apache Spark, including PySpark and/or Spark SQL, for processing data at scale.
Advanced SQL proficiency, including complex transformations, data validation, and query performance optimization.
Strong knowledge of data warehousing and dimensional modeling, including facts, dimensions, and data marts.
Experience integrating data from multiple sources, including REST APIs, relational databases, cloud storage, and SFTP.
Hands-on experience with Microsoft Azure data services for data ingestion, storage, processing, and integration.
Experience implementing data quality checks and validating consistency between source systems and target data models.
Ability to troubleshoot pipeline failures, investigate data discrepancies, and implement reliable solutions.
Strong problem-solving, analytical, and organizational skills.
Ability to work autonomously, take ownership, and follow established engineering practices and documentation standards.
Strong English communication skills, with the ability to collaborate effectively with a US-based team.
Nice to have:
Experience migrating SQL-based data workloads to Azure Databricks.
 
You Will Be Accountable for the Following Responsibilities:
Design, build, and maintain reliable, production-grade data pipelines using Azure Databricks and Python.
Develop scalable data transformations using PySpark or Spark SQL to integrate data from multiple business systems.
Requirements
- ·You Bring to Applaudo the Following Competencies:
- ·5+ years of professional experience in Data Engineering, designing, building, and maintaining production-grade data pipelines.
- ·Strong hands-on experience with Azure Databricks.
- ·Advanced Python skills for data processing, transformation, and pipeline development.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Applaudo Studios, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Pay not stated · You'll be taken to the employer's careers page.