Data Engineer (BI Developer)

San José, San José Province, Costa Rica

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Work setting: Remote — work setting source
Work setup in the employer’s listing: Remote
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Employment: Full-time — employment source
Employment type in the employer’s listing: Full-time
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What you’ll work on

Full posting

Migrate legacy SSIS packages to Microsoft Fabric equivalents
Design, build and tune ETL/ELT pipelines in Microsoft Fabric and Azure
Write complex T-SQL for transformations, reporting layers and stored procedures
Build and maintain Power BI reports, dashboards and semantic models
Gather client requirements and turn them into data solutions

From the employer’s posting

Migrate legacy SSIS packages to modern Microsoft Fabric equivalents

Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services

Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures

Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices

Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions

What you’ll bring

All qualifications

Core experience

5+ years of experience in data engineering, BI development, or similar roles
Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
Expertise working with SQL, T-SQL, SSIS, etc.
Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions
Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management

Preferred experience

Microsoft Fabric or Azure Data Factory strongly preferred

Qualification wording

5+ years of experience in data engineering, BI development, or similar roles

Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)

Expertise working with SQL, T-SQL, SSIS, etc.

Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks

Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)

Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management

Tools in this posting

Python
SQL
Azure
Databricks
Power BI
Power Query
Snowflake
SQL Server
PySpark

Source

- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP) - Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks - Exposure to machine learning workflows or Azure Machine Learning

Project - the aim you'll have We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one. Qualifications

- 5+ years of experience in data engineering, BI development, or similar roles - Expertise working with SQL, T-SQL, SSIS, etc. - Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)

- Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management - Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics - Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions

What you will do - Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures - Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process

- Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions - Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments - Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments

- Expertise working with SQL, T-SQL, SSIS, etc. - Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred) - Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks

- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks - Exposure to machine learning workflows or Azure Machine Learning - Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent

- Exposure to machine learning workflows or Azure Machine Learning - Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent What you will do

- Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process - Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services - Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices

- Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks - Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management - Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics

- Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services - Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices - Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions

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Status in our records: No longer listed
First seen by us: Aug 24, 2026 · 59 days ago
Recorded sightings: 70
Last seen by us: Oct 6, 2026

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Job description

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Job Description

Project - the aim you'll have

We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one.

Qualifications

Expectations - the experience you need

5+ years of experience in data engineering, BI development, or similar roles
Expertise working with SQL, T-SQL, SSIS, etc.
Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks
Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
Experience working in Agile/Scrum delivery environments with multiple concurrent workstreams
Experience in a client-facing consulting or professional services environment

Nice to Have

Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
Exposure to machine learning workflows or Azure Machine Learning
Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent

What you will do

Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures
Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services
Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments
Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments
Participate in architecture discussions and contribute to solution design decisions for new client engagements
Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences

Additional Information

We are looking for a similar if not identical profile and PI as Kevin Narvaes

https://www.smartrecruiters.com/app/people/applications/2d652fe2-1743-4544-953e-807d26044e83/overview

Company Description

Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!

Source details

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Pay

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Location & working pattern

San José, San José Province, Costa Rica

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Open source at jobs.smartrecruiters.com ↗Read the full description ↓

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