Sr. BI Data Engineer

Otter Products, LLC

$133K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree required; Computer Science or Mathematics preferred.
  • Minimum of six years in an IT or analytical role.
  • Proven PowerBI expertise is essential.
  • In-depth knowledge of DAX, Power Query, and SQL required.

Responsibilities

  • Verify and validate data in ETL pipelines to identify issues.
  • Establish and maintain a Power BI Center of Excellence with templates and training resources.
  • Act as the internal expert for Power BI, conducting training sessions across the organization.
  • Collaborate with data architects to define data systems and optimize ETL processes.
  • Gather requirements from cross-functional teams for data needs.
  • Provide technical coaching to data team members.
  • Set standards for Power BI dashboard and reporting creation.
  • Define and manage data quality standards and processes.

Benefits

  • Comprehensive medical, dental, and vision coverage.
  • Life insurance, both basic and voluntary options available.
  • Long-term and short-term disability benefits offered.
  • Flexible spending accounts and health savings accounts included.
  • 401(k) retirement plan with employer contributions.
  • Paid time off based on seniority, including volunteer and parental leave.
  • Additional company holidays and years of service awards.
Full Job Description
Overview

Otter Products is hiring for a Sr. BI Data Engineer to join our team in Fort Collins, CO. This position can work a hybrid schedule.

 

The Sr. BI Data Engineer will be the foremost expert in Microsoft PowerBI and Fabric solutions to power enterprise data initiatives, following industry-standard practices and tools. This role carries dual priorities: designing and managing high-quality semantic models and delivering compelling, trusted data visualizations that drive decision-making across the enterprise. 

 

The Sr. Data Engineer must guarantee compliance with data governance and data security requirements while creating, improving, and operationalizing integrated and semantic models and the visualization layers built on top of them. This includes ensuring that reports and dashboards meet enterprise standards for accuracy, performance, and accessibility — enabling faster data access, consistent metric definitions, and vastly improved time-to-solution for data and analytics initiatives. 

 

Additionally, the Sr. Data Engineer will collaborate with data architects, data analysts, and other consumers to optimize models and algorithms for data quality, security, and governance, and put them into production. This collaboration extends to co-developing visualization solutions — including semantic models, self-service reporting frameworks, and executive-facing dashboards — that surface the outputs of those models in ways that drive meaningful business outcomes and potentially large productivity gains across the enterprise. 

Responsibilities
  • Responsible for the verification and validation of data moving into or out of systems providing information to identify issues or inaccuracies in ETL pipelines from internal and external systems 
  • Establish and maintain a Power BI Center of Excellence (CoE) including: reusable templates, design system, and self-service enablement materials 
  • Act as internal expert and go-to resource for Power BI questions, conducting training and lunch-and-learns for the broader organization 
  • Serve as the primary lead working with data architects to define the development of data systems, creating semantic models and optimizing ETL processes for ingest of data internally and externally 
  • Act as the primary resource to collaborate with a cross-functional team to determine requirements for data needs and requirements 
  • Provide technical guidance and coaching to members of the data team 
  • Set the standards on Power BI Dashboard/Reporting creation 
  • Define and manage standards, guidelines, and processes to ensure data quality. 
  • Oversee the creation and maintenance of Data Quality Metrics that drive improvement in Otter Products data quality 
  • Develop and maintain the standards on ETL development within Otter 
  • Define and own the release management process for ETL code deployment, including version control 
  • Design and implement a layered security model using RLS, OLS, and workspace roles for human and AI agent access to certified semantic models 
  • Evaluate and recommend emerging technologies for data management, storage, and analytics 
  • Support and maintain a positive safety culture by following all safety policies and procedures and actively contributing to a safe working environment 
  • Other duties as required 
Qualifications
  • Bachelor’s degree required. Degree in Computer Science or Mathematics preferred. Experience in lieu of degree may be considered.
  • Minimum of six years of experience in an IT or analytical role required. Experience in database development, report writing and/or statistics preferred.
  • PowerBI experience required.
  • DAX, Power Query and/or SQL experience required.
For US Based Roles Only - Base Compensation Range MinimumUSD $133,000.00/Yr. For US Based Roles Only - Base Compensation Range MaximumUSD $150,000.00/Yr. Additional Total RewardsOtter Products offers a robust benefits package to eligible employees including medical, dental, vision, basic life, voluntary life, long-term and short-term disability, employee assistance program, flexible spending accounts, health savings account, and 401(k) retirement plan. Additionally, for eligible employees, we offer accrued paid time off based on seniority, volunteer time off, parental leave, bereavement leave, company holidays, and years of service awards. Check out www.otterbox.com/pages/careers for more info., Variable Incentive Program - This position is eligible for the Profit Sharing Program.

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