Data Engineer

Data Engineer

MBK Real Estate (MBK) is an industry leader in real estate operations and development. Through its subsidiaries, MBK Rental Living, MBK Industrial Properties and MBK Senior Living, MBK Real Estate is renowned for building award-winning new home and apartment communities, state‑of‑art distribution facilities and for its reputation in providing exceptional high standards of service throughout its senior living communities.

MBK is a privately held real estate development firm with roots in the business dating back to 1996. MBK's extensive activities through its operating divisions, along with the size and scale of our development and building activities represent the continuation and commitment to American enterprise.

MBK Real Estate is hiring a Data Engineer to join our team at our Home Office in Irvine, CA. This role will be hybrid with 3 days in office and 2 days remote.

We are seeking a highly skilled Data Engineer with strong experience in Microsoft Azure, Microsoft Fabric, SQL, Python, and Power BI to help design, build, and optimize our cloud‑based data ecosystem. This role will work closely with our data/business intelligence team to ensure scalable, reliable, and high‑quality data solutions that support our enterprise data strategy.

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• Design, build, and maintain cloud‑native data pipelines using Azure Synapse and Microsoft Fabric.
• Develop and optimize ETL/ELT workflows for ingestion, transformation, and processing of large‑scale datasets.
• Create and manage data models, warehouses, and lakehouse environments within Microsoft Fabric.
• Write high‑performance SQL for data transformation, report automation, modeling, and analytics.
• Build reusable Python components for data processing, automation, and orchestration.
• Implement best practices for data quality, governance, observability, security, and performance tuning.
• Collaborate with data analysts and business teams to translate requirements into scalable solutions.
• Monitor, troubleshoot, and improve pipelines to ensure high availability and reliability.
• Contribute to cloud architecture, tooling selection, performance tuning, and overall platform modernization efforts.

Salary: $120,000-$130,000 + Bonus

Candidates must be legally authorized to work in the United States. This position does not offer sponsorship now or in the future.

• A bachelor’s degree in a computer science‑related field is strongly preferred.

• 5+ years of professional experience as a Data Engineer or similar role.
• Strong hands‑on experience (3+ years) with Azure cloud services (e.g., Azure Synapse, Azure Data Lake Storage, Azure Functions preferred).
• Practical experience (1+ years) working with Microsoft Fabric (Data Factory, Lakehouse, Pipelines, Notebooks, and Power BI integration).
• Advanced proficiency (3+ years) in SQL (query optimization, performance tuning, complex joins, stored procedures).
• Strong Python programming skills (2+ years) for data processing, automation, and scripting.

• Experience building scalable, production‑grade data pipelines for structured and unstructured data.
• Understanding of data modeling, data warehousing concepts, and ELT/ETL patterns.
• Familiarity with CI/CD, Git‑based workflows, and modern Dev Ops practices.
• Microsoft Suite competency.
• Strong problem‑solving and analytical mindset.
• Excellent communication skills and ability to partner across technical and business teams.
• Detail‑oriented, organized, and able to manage multiple priorities.
• Growth mindset and eagerness to work with emerging Azure/Fabric technologies.

• Experience with Delta Lake, parquet, or similar big data file formats.
• Familiarity with Power BI, semantic models, and Fabric integrated analytics.
• Knowledge of Spark, Databricks, or distributed data processing.
• Exposure to data governance frameworks, metadata management, and lineage tools.
• Azure and/or certifications (e.g., DP‑203, Azure Data Engineer Associate, DP‑700, Fabric Data Engineer Associate).

• Must…