Mid-Level Data Engineer

Build the Future with AspenView Technology Partners At AspenView, we are passionate about transforming the way organizations approach technology. We specialize in creating high-performing, nearshore IT teams to help North American clients innovate faster and more efficiently. As we continue to grow, we’re looking for exceptional people to join our team and help drive impactful change across industries. Why Join AspenView? At AspenView, we’re more than a nearshore IT partner—we’re a people-first, purpose-driven company that believes great culture drives great outcomes. We’re passionate about connecting talent and technology to deliver measurable value for clients—and meaningful career paths for our people. Here’s what you can expect: Competitive base Comprehensive benefits and wellness support Flexible work model: hybrid, remote, or in-office Real growth opportunities and leadership visibility Inclusive, respectful culture that blends U.S. innovation with Colombian heart A company that listens, invests in you, and celebrates wins together About the role We are seeking a highly skilled Data Engineer / Azure Data Factory Specialist to take ownership of our data architecture and pipeline development. In this role, you will be the architect of our data flow, transforming raw information from various sources into high-quality, analytics-ready datasets. Your work will serve as the foundation for the organization’s reporting, Business Intelligence, and AI/ML initiatives, ensuring that data is accessible, reliable, and scalable. What you will do: Design, build, and manage end-to-end Azure Data Factory (ADF) pipelines for seamless data ingestion, complex transformations, and loading (ETL/ELT). Architect robust data models within Azure Synapse Analytics and Databricks (Delta Lake) to support diverse analytical needs. Seamlessly integrate structured and unstructured data originating from ERP and CRM systems, as well as various cloud-based and on-premises sources. Create and maintain Power BI datasets, develop sophisticated semantic layers, and design intuitive reporting dashboards for stakeholders. Implement rigorous data quality checks, monitoring systems, and automated alerting frameworks to ensure the integrity of the data ecosystem. Maintain and optimize CI/CD workflows for data pipelines using Azure DevOps to ensure agile and reliable deployments. What you bring: At least 3+ years of professional experience in data engineering, specifically within the Azure ecosystem. Expert-level knowledge of Azure Data Factory , Azure Synapse Analytics , and Databricks/Delta Lake . Strong command of SQL Server , Azure SQL , Azure Data Lake (ADLS) , and storage solutions like Blob Storage and CosmosDB . Proficiency in Power BI (Pro & Premium) , including advanced DAX and M Query for data transformation and semantic modeling. Practical experience with Git and Azure DevOps in an Agile environment. B2+ English proficiency with the ability to document technical processes clearly and collaborate effectively in a nearshore environment. Nice if you have: Experience working with large-scale migration projects from on-prem to cloud. Advanced certifications in Azure Data Engineering (e.g., DP-203). Familiarity with Python or Scala for advanced data processing within Databricks. Knowledge of advanced AI/ML integration patterns within data pipelines. Equal Opportunity Employer: AspenView is proud to be an equal opportunity employer. We believe in creating an environment where all employees feel welcome, valued, and empowered to succeed. We celebrate diversity and strive to build a culture of inclusion where all individuals, regardless of their race, color, gender, gender identity or expression, sexual orientation, disability, age, or any other characteristic, can thrive. We encourage applicants from all walks of life to join our team and make a lasting impact. Originally posted on Himalayas