Database Engineering Manager
Listed on 2025-12-31
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IT/Tech
Data Engineer
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Mutual of Omaha Mortgage provided pay rangeThis range is provided by Mutual of Omaha Mortgage. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$/yr - $/yr
CompanyDescription:
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!
RoleDescription:
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.
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.
- 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, etc.).
- Hands‑on experience with at least one BI platform (Power
BI, 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.
Mid‑Senior level
Employment typeFull‑time
Job functionSales and Business Development
Industries:
Internet Publishing
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Medical insurance, Vision insurance, 401(k) are included in benefits.
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