Data Engineer, Entry Level

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About MIG Real Estate

MIG Real Estate (“MIG”) is a private real estate investment company headquartered in Newport Beach, California, with over $3.4 billion of real estate investments in multifamily, industrial, office, hotel and retail properties located primarily in the Western U.S. and Sun Belt. The Company is dedicated to acquiring and repositioning real estate in a way that transforms communities, creatively enhances quality of life and dramatically improves the environments where our customers live, work and play. The company is focused on significant growth through acquisitions, redevelopment and repositioning of assets, continuously creating value with long-term stability throughout all market cycles.

Role Snapshot

As a Data Engineer on our team, you will be instrumental in building scalable data pipelines, modeling clean and reliable datasets, and helping ensure that MIG’s analytics infrastructure continues to evolve alongside our growing business. This role requires a strong technical foundation, attention to detail, and excellent interpersonal skills to collaborate across technical and non-technical teams.

Key Responsibilities

• Ingest data from multiple structured and unstructured sources (e.g., APIs, flat files, cloud services, etc.).
• Implement pipeline orchestration, scheduling, and monitoring to ensure timely data delivery.
• Develop and maintain well-structured data models that serve reporting and analytics needs.
• Collaborate with technology team and business users to translate reporting requirements into dimensional models.
• Write complex SQL queries, stored procedures, and CTEs to perform robust data transformations.
• Develop reusable SQL patterns and documentation to promote best practices within the team.
• Perform root cause analysis and data lineage tracing for issues identified by users or systems.
• Contribute to the documentation of data dictionaries, business logic, and metadata.
• Manage compute and storage resources to balance cost and performance.

Must-Have Qualifications

• Bachelor’s degree or equivalent hands-on experience.
• 1-3 years’ experience in a data engineering type role, minimum.
• Demonstrated ability to work closely with users and stakeholders to translate business needs into technical solutions.
• Experience in Python for API and pipeline scripting.
• Advanced in SQL, including performance tuning and query optimization.
• Strong data modeling skills.
• Hands-on experience with cloud data tools such as Azure Synapse / Data Factory, Databricks, or comparable platforms.
• Strong project execution abilities and a track record of cross-functional collaboration.
• Willing & able to travel domestically 15-20% of the year.

Preferred Qualifications

• Experience in the real estate or property asset management industry.
• Exposure to Power BI, DAX, or Microsoft Fabric is a plus.
• Familiarity with Git-based version control and CI/CD practices.

Why Join MIG?

• Join a values-driven, people-first organization that fosters professional development and encourages autonomy.
• Make an immediate impact on real estate investment strategy through high-visibility data initiatives.
• Work with a modern cloud-based data stack in a growth-oriented environment.
• Competitive compensation, performance-based bonuses, comprehensive benefits, and generous PTO.