
11 - 50 employees
Founded 2024
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
💰 $531.7k Seed on 2025-08
B2B • Enterprise • Artificial Intelligence
AspenView Technology Partners is a nearshore IT services and staff-augmentation firm that empowers North American organizations with agile, expert-staffed engineering teams based in Colombia and Argentina. The company delivers software engineering, data engineering, business intelligence, robotic/agentic process automation, and AI-enabled solutions, integrating closely with clients’ domestic IT to accelerate digital transformation, reduce costs, and improve time-to-value. AspenView emphasizes senior local leadership, quality delivery, and AI-driven capabilities to help enterprise CIOs and CTOs scale strategic initiatives.
🔥 3 minutes ago
Where this job comes from
Posted on AspenView Technology Partners's careers page, not through a job board
First seen by Remote Rocketship 3 minutes ago

11 - 50 employees
Founded 2024
🤝 B2B
🏢 Enterprise
🤖 Artificial Intelligence
💰 $531.7k Seed on 2025-08
B2B • Enterprise • Artificial Intelligence
AspenView Technology Partners is a nearshore IT services and staff-augmentation firm that empowers North American organizations with agile, expert-staffed engineering teams based in Colombia and Argentina. The company delivers software engineering, data engineering, business intelligence, robotic/agentic process automation, and AI-enabled solutions, integrating closely with clients’ domestic IT to accelerate digital transformation, reduce costs, and improve time-to-value. AspenView emphasizes senior local leadership, quality delivery, and AI-driven capabilities to help enterprise CIOs and CTOs scale strategic initiatives.
• Design and build Power BI reports using data modelling, Power Query, and DAX • Run analysis and requirements gathering to translate business logic into data solutions • Communicate with data analysts, BI developers, and business stakeholders • Design and implement scalable data marts and BI data models in Azure Data Factory and Microsoft Fabric using dimensional modelling principles, including star and snowflake schemas • Implement strategies for historical data and slowly changing dimensions, including SCD types 1, 2, and 3 • Design and document data lineage, transformations, and architecture components • Develop and manage ETL/ELT pipelines for batch processing and near real-time data ingestion • Optimize Azure Data Factory objects, including tables, views, and warehouses, for performance and cost efficiency • Monitor, troubleshoot, and ensure reliability and accuracy of data pipelines and models • Implement data governance, security, and compliance best practices • Work within Azure DevOps and Agile / Scrum methodologies • Challenge incumbent patterns, surface risks early, and improve the team’s practices
• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field • 6+ years of hands-on experience in data engineering or BI data modelling • 6+ years of proficiency with Power BI, including data warehousing, virtual warehouses, and cost optimization • Experience in complex, detailed environments, including global organisation architecture and enterprise data solutions • Azure Data Factory and Synapse Link experience (required) • Strong SQL skills • Experience with dimensional modelling, data marts, and historical dimensions • Experience with data integration tools such as dbt, SSIS, Apache Airflow, Fivetran, or Talend • Working knowledge of Azure DevOps and Agile / Scrum delivery • Strong written and verbal communication skills in English • Independent self-learning, delivery focus, resilience, and flexibility • Must be eligible to access export-controlled ITAR information, or AspenView must be able to obtain the required government authorization • Must be permanently authorized to work in country of residence and must not require visa sponsorship now or in the future
• 100% remote work within the United States • Working U.S. business hours • Equal opportunity and inclusive workplace • Visa sponsorship policy: applicants must be permanently authorized to work in their country of residence and not require sponsorship now or in the future
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