Database Engineering Manager

Company Description:

Mutual of Omaha is a Fortune 300 Company. Mutual of Omaha

Mortgage is inspired by hometown values and a commitment to being responsible and caring

for each other. We exist for the benefit of our customers and employees.

We offer an extensive compensation package. Benefits include Medical, Dental, and Vision

insurance, company paid life insurance, 401K with a generous employer match and additional

benefits such as Free Legal Services and an Employee Loan Program.

Mutual of Omaha Mortgage is a full-service lending company offering both Forward and

Reverse Mortgage products including a complete line of residential mortgage, refinancing,

specialty, and HECM loans. We employ a knowledgeable staff of experienced Loan Officers with an operations team that is second to none. If you are interested in joining a team that

promotes from within and works together toward a common goal of helping customers with

their mortgage needs, please review and apply for our opening below!

Role Description:

We're hiring a Data Engineering Manager to lead our analytics engineering

team and own the strategy, architecture, and delivery of our data platform. You'll manage two

analysts, partner with software engineering on ETL/integration work, and make the technical

decisions that shape how the organization consumes data. Your priorities are speed, security,

and stability—in that order when they conflict. This role requires initiative and ownership.

You'll operate with significant autonomy—identifying problems, developing solutions, and

driving them to completion without waiting for direction. We need someone who stays close to

the work and leads by example.

Roles & Responsibilities:

• Manage and develop a team of two data analysts focused on reporting, dashboards, and

data modeling

• Own schema design, data modeling decisions, and warehouse architecture

• Optimize query performance, storage costs, and pipeline reliability

• Partner with engineering teams on data integration, ETL processes, and source system

changes

• Establish and enforce standards for data quality, access controls, and documentation

• Evaluate and implement tooling decisions across the data stack

• Translate business requirements into scalable, maintainable data solutions

• Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary

and third-party applications and APIs

Qualifications:

• Bachelor’s Degree in Computer Science and Engineering or equivalent

• 5 years of experience in data engineering, analytics engineering, or a related technical

role

• 2 years of experience managing or technically leading a team

• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake

• Advanced SQL skills and solid understanding of data modeling patterns (star schema,

normalization tradeoffs, slowly changing dimensions)

• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)

• Experience with Salesforce data structures and reporting (SOQL, custom objects, record

relationships)

• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)

• Background in data governance, PII handling, or compliance requirements

• Ability to understand and document business logic, not just technical implementation

• Clear communication skills—you'll interface with both engineers and business stakeholders