Senior Data Engineer

Senior Data Engineer

Department: Data

• Employment Type: Full Time

Location: Colombia

• Reporting To: Andres Gomez

Description

Newfire Global Partners is a leading technology firm that specializes in building transformative software solutions for some of the world’s most innovative companies. With a presence across four continents, Newfire Global brings deep expertise in digital healthcare, AI-driven analytics, and enterprise technology. The firm’s track record of delivering scalable, high-impact solutions has made it a trusted partner for organizations seeking to drive meaningful change through technology.

We are passionate about the purpose-driven mission to help improve the quality of care for patients and are building a collaborative, innovative, and inclusive culture. We are a fully funded company founded by serial entrepreneurs with a stable client base.
Opportunity for impact

Newfire Global Partners, a leader in developing disruptive healthcare technology, collaborates with Fortune 500 companies and start-ups to drive transformation. 
Newfire is seeking a  Senior Data Engineer

What's the Project?
Our customer is a fast-growing healthcare technology company building scalable digital solutions that improve patient outcomes and operational efficiency. The team values collaboration, technical excellence, and continuous learning.

Your Day-To-Day Activities:

• Design and implement robust ETL/ELT pipelines for ingesting and processing diverse data formats.
• Develop dbt-based transformations to evolve data from raw to curated layers, ensuring performance, consistency, and schema compliance.
• Build monitoring and alerting solutions to improve visibility into data quality, pipeline health, and operational metrics.
• Optimize data workloads for scalability, cost-efficiency, and reliability.
• Collaborate with cross-functional teams to validate and integrate new data sources.
• Manage batch and streaming pipelines across multiple formats (e.g., CSV, JSON, HL7, FHIR).
• Contribute to data architecture decisions involving schema design, data validation, and metadata management.
• Ensure best practices around version control, testing, and production releases.

Please note that employment will be contingent upon providing documentation verifying your legal work authorization in the country of residence, in accordance with applicable law.

You’Re A Perfect Match If You Have:

• 5+ years of professional experience designing and maintaining ETL/data pipeline systems in modern cloud environments.
• Strong proficiency in SQL and Python, with hands-on experience in tools such as dbt, Airflow, Dagster, or similar orchestration frameworks.
• Deep familiarity with Databricks or other cloud data warehouse technologies.
• Experience working with structured and semi-structured data, including healthcare-related formats (HL7, FHIR, JSON, CSV).
• Working knowledge of Spark, Kafka, or similar distributed data processing systems.
• Strong understanding of data modeling, data governance, and pipeline observability principles.
• Ability to take ownership of production workflows, including monitoring, troubleshooting, and stakeholder communication.
• Excellent communication skills and a collaborative mindset, comfortable working in a remote-first, Agile environment