Position Summary:

Reporting to the Director of Data Science, the Data Engineer will play a crucial role in designing, developing, and maintaining data pipelines and workflows to facilitate data integration, storage, and analysis. With the support of the Data Science team, this position will utilize proven expertise in Microsoft Azure cloud computing to implement and automate processes, ensure the health and efficiency of the data ecosystem, and bring unmatched value to our +1.5 million members across the country and across the world.

Duties and Responsibilities:

• Lead architectural efforts for implementing the Data Science team's models and solutions.
• Design, implement, and manage data pipelines using Azure Data Factory to extract, transform, and load data from various sources efficiently and securely.
• Develop and optimize storage solutions on Microsoft Azure, ensuring data availability, scalability, and reliability.
• Automate data-related jobs, processes, and workflows to streamline data delivery
• Collaborate closely with cross-functional teams, including data scientists, analysts, and developers, to understand data requirements and support their data-related needs.
• Design and maintain data models and architecture, enabling efficient data consumption by business applications and analytical tools.
• Ensure data quality, integrity, and security throughout the data lifecycle.
• Troubleshoot and promptly resolve data-related issues, performance bottlenecks, and system failures.
• Research new data sources, third-party platforms, and data engineering best practices.
• Stay current with the latest data engineering and cloud computing trends, particularly in the Azure ecosystem.
• Assist Data Scientists with general analysis and dashboards, as needed.

Qualifications:

• 3-5+ years of relevant Data Engineering, Software Engineering, and/or Analytics experience.
• Proved experience with Azure cloud solutions, preferably through your work portfolio and Azure certifications.
• Strong proficiency in Azure Data Factory, Azure Storage, and other relevant Azure services.
• Extensive experience designing and implementing automated data pipelines, ETL processes, and data workflows.
• Advanced skills in SQL and Python for data manipulation, querying, and scripting tasks.
• Familiarity with data warehousing concepts, modeling, and integration techniques.
• Expert in integrating cloud solutions with external API sources and knowledgeable in creating in-house API solutions that meet our needs.
• Excellent problem-solving abilities and a track record of handling complex data engineering challenges.
• Strong communication skills and the ability to collaborate effectively with multidisciplinary teams.
• Demonstrated ability to prioritize tasks, meet deadlines, and adapt to evolving project requirements.
• Azure certifications (e.g., Azure Data Engineer Associate) will be a plus.
• Willingness to travel up to 10%.  

Organizational Overview:

The National Association of REALTORS® (NAR) is a team of professionals dedicated to providing world-class service to over 1.5 million REALTORS® working in the United States and around the world. The real estate industry is fast-paced and fast-changing--each year, our members participate in the sale, lease, and management of billions of dollars in real estate. As in every industry, our members’ value proposition is constantly being challenged by innovation.

It is our mission to empower REALTORS® as they preserve, protect and advance the right to real property for all. We cannot do that without the ideas, passion, and commitment from our talented employees. As our greatest assets, employees are offered their pick of competitive benefits/perks and flexible work options. Our most successful employees are committed to our Core Values, which are: