Senior Data Engineer – Finance

Truelogic Software

full-time

Posted on: 10/9/2025

Location Type: Remote

Location: Remote • 💃 Anywhere in Latin America

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Senior

AzureCloudETLPythonSQL

About the role

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows to support business intelligence and analytics initiatives.
Architect and implement data solutions in Azure, leveraging services such as Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Storage.
Integrate data from various sources including SQL Server, Debezium change data capture (CDC) streams, Snowflake, and other third-party platforms.
Implement and manage dbt (Data Build Tool) transformations to create modular, testable, and maintainable data models.
Optimize and manage data warehouses and data lakes to support reporting, analytics, and machine learning workloads.
Ensure data quality, governance, and security across the entire data ecosystem.
Monitor pipeline performance, troubleshoot issues, and ensure high availability and data integrity.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
3+ years of experience in data engineering or a related role.
Strong hands-on experience with Azure cloud services (e.g., Data Factory, Synapse, Data Lake, Functions, Logic Apps).
Expertise in SQL and experience with Azure SQL and SQL Server.
Experience implementing Debezium for CDC pipelines.
Proficiency with dbt for data modeling and transformation.
Strong knowledge of Snowflake including performance tuning, schema design, and data loading.
Experience working with multiple site analytics data sources (e.g., Google Analytics, Adobe Analytics, etc.).
Solid understanding of data warehousing concepts, data modeling, and ETL/ELT best practices.
Proficiency in Python programming language for data processing.

Benefits

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Tip: use these terms in your resume and cover letter to boost ATS matches.

data engineeringETLELTSQLdbtPythondata modelingdata warehousingperformance tuningdata quality

Bachelor’s degreeMaster’s degree