Senior Business Intelligence Engineer

Mutual of Omaha Mortgage•Irvine, CA

1d•$130,000 - $165,000•Hybrid

About The Position

Mutual of Omaha Mortgage is seeking a Senior BI Engineer to construct governed data models and reporting solutions for loan, CRM, and marketing data. This role involves owning the gold-layer modeling within a dbt medallion architecture and developing executive reports using Sigma and Power BI. The engineer will also be responsible for defining the Key Performance Indicators (KPIs) that guide lending and marketing decisions. Mutual of Omaha Mortgage is a full-service lending company that offers both Forward and Reverse Mortgage products, including a comprehensive range of residential mortgage, refinancing, specialty, and HECM loans. The company prides itself on its knowledgeable staff of experienced Loan Officers and an exceptional operations team. They foster an environment of internal promotion and collaborative work towards the shared goal of assisting customers with their mortgage needs.

Requirements

7+ years in business intelligence, analytics engineering, or data analytics.
3+ years designing and maintaining production data models and reporting structures.
Experience delivering end-to-end pipelines, from source ingestion through dashboards, that improved operational efficiency.
Experience leading or contributing to data platform migrations.
Track record of supporting cross-functional stakeholders as a data subject matter expert.
Advanced SQL, including query optimization and performance tuning.
dbt or SQL Mesh, and a cloud data warehouse (Databricks preferred; Snowflake considered).
Power BI (DAX, M Query) and/or Sigma. Tableau experience transferable.
ETL/ELT design and automation, including CDC, slowly changing dimensions, and incremental loads.
Data modeling and governance: grain declaration, conformed dimensions, data quality testing.
Python for data wrangling, automation, and ingestion.
Version control and CI/CD (Git, Azure DevOps or similar).

Nice To Haves

Mortgage or consumer lending experience: loan lifecycle, LOS data, lead-to-loan funnels, sales and underwriting KPIs, HMDA data.
Multi-channel marketing attribution (paid search, DRTV, affiliate, direct mail).
Unity Catalog or similar governance tooling. dbt semantic layer / MetricFlow.
Microsoft BI stack (SQL Server, SSIS, SSRS).
Snowflake or Databricks certification.
RPA or process automation experience.
Bachelor’s degree in computer science, Information Systems, or a related field, or equivalent practical experience.

Responsibilities

Design, build, and maintain dimensional data models (Kimball star schema) across Bronze, Silver, and Gold layers using dbt on Databricks.
Integrate and reconcile data from loan origination systems, Salesforce CRM, servicing feeds, and third-party vendors, including cross-system entity resolution.
Build executive and operational dashboards in Sigma and Power BI covering pipeline, lead-to-loan conversion, funded volume, channel attribution, and campaign ROI.
Define and document governed KPIs in a semantic layer for consistent metrics across tools.
Own data quality through profiling, automated testing, volume and null-rate monitoring, and root-cause analysis of pipeline discrepancies.
Lead migration and modernization work, from legacy data warehouse to cloud warehouse and legacy reporting to modern BI.
Serve as data SME for Marketing, Sales, Operations, and Finance, translating business questions into technical requirements.
Mentor analysts on SQL, data modeling, and BI best practices.

Benefits

Vacation hours accrue on a per pay period basis. Balance maximums are based on years of service.
40 hours of paid sick time after 90 days of employment. State sick time requirements will be added as needed.
9 Paid Holidays + 1 Cultural Celebration Day (Floating Holiday)
Multiple PPO Medical Plans, as well as HDHP eligible plan.
Dental Coverage
Vision Coverage
Company Paid Life Insurance
401K with a generous employer match
Optional Life, FSA, Pet Insurance etc.
Free Legal Services
Employee Loan Program