Business Intelligence Engineer

taylormadegolf; Carlsbad (CA); On-site; USD 100,000 - 125,000; Full time

Job summary

TaylorMade in Carlsbad, CA seeks a BI Data Engineer / Technical Engineer to join the IT-based Business Intelligence team. You will design and maintain ETL/ELT pipelines, connect source systems to the data warehouse, and support BI reporting across Sales, Finance, and Operations.

Collaborate with analysts and developers, apply data governance, and leverage AI tools to accelerate development. Strong SQL, BI tool experience (Domo/Tableau/Power BI), and cloud data warehouse knowledge are essential.

Qualifications

• Bachelor's degree in a related field such as IT, CS or data analytics.
• 2–4 years of data engineering, BI development or analytical tech experience.
• Experience with ETL/ELT, data integration and data warehouse environments.
• Proficiency with BI tools: Domo, Tableau, Power BI, or Business Objects.
• Agile project management experience is beneficial.
• Knowledge of data modeling and data warehouse best practices.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines for BI reporting across functions.
• Connect source systems to TaylorMade's data warehouse and BI environment.
• Support governance standards for BI operations, monitoring, and performance.
• Identify gaps in governance policies and propose improvements to the team.
• Expand BI data architecture with senior engineers within an architectural framework.
• Collaborate with application owners to ensure BI outcomes in enhancements.
• Leverage AI tools to accelerate ETL development and reliability.

Skills

SQL queries

ETL/ELT

BI tools

Agile/Scrum

Data modeling

Python/R

Data quality

Communication

Education

Bachelor's degree in IT/CS/Data Analytics

Tools

Domo

Tableau

Power BI

Business Objects

Snowflake

Azure

Oracle OCI

Job description

The BI Data Engineer / Technical Engineer is a technical member of TaylorMade's dedicated Business Intelligence team within IT. This role sits within the Data Architecture practice and is primarily responsible for building and maintaining the data pipelines, integrations, and technical infrastructure that power TaylorMade's BI environment. The team prides itself on being innovative, agile, and responsive to the needs of their customers throughout the organization.

As this engineer develops a deep understanding of TaylorMade's data landscape and business processes, they will have natural opportunities to contribute to reporting and analytical projects in partnership with the Business Analysis team - building well-rounded expertise across both the technical and analytical dimensions of business intelligence.

Essential Functions and Key Responsibilities:

• Design, develop, and maintain ETL/ELT processes and data pipelines that support BI reporting and analytics across Sales, Finance, Operations, and other business functions; evaluate and recommend data integration strategies and standards across these business functions, advising stakeholders on tradeoffs among competing architectural approaches
• In partnership with senior team members, contribute to data integration projects connecting source systems to TaylorMade's data warehouse and BI environment
• Support governance standards for BI environment operations, including system monitoring, maintenance, and performance optimization, following established procedures and escalating exceptions
• Evaluate and Identify gaps or improvement opportunities in existing governance policies within the established governance policy, bringing recommendations to senior team.
• Participate in the development and expansion of TaylorMade's BI data architecture in collaboration with the Lead BI Engineer (Data Architect), implementing solutions within an established architectural framework
• Work with application owners to ensure expected BI outcomes are considered in application enhancements and modifications
• Collaborate with senior team members and leaders on various BI projects
• Leverage AI-driven tools to accelerate ETL development, automate repetitive tasks, and enhance data pipeline reliability
• Apply established data architecture standards to new integrations; identify and flag risks or proposed system changes for review by senior team members

Knowledge and Skills Requirements:

• Strong SQL skills - ability to write, optimize, and troubleshoot complex queries across relational databases
• Hands-on experience with ETL/ELT development and data pipeline tooling
• Proficiency with one or more BI or visualization tools (Domo, Tableau, Power BI, or equivalent)
• Familiarity with cloud-based data warehouse technologies (Snowflake, Azure, Oracle OCI) - a plus
• Experience or familiarity with Agile/Scrum environments and iterative delivery practices
• Ability to articulate technical concepts clearly to both technical and non-technical audiences
• Strong analytical and problem‑solving skills with attention to data quality and integrity
• Ability to manage competing priorities and work effectively in a fast‑paced environment
• Familiarity with AI tools as a method of enhancing and accelerating BI and data engineering work
• Strong interpersonal skills and a collaborative, team‑focused approach - ability to partner across IT and business functions
• Fluent verbal and written English communication skills required
• Ability to exercise judgment in selecting among established methods, tools, and procedures to resolve technical problems of moderate scope and complexity

Education, Work Experience, and Professional Certifications:

• Bachelor's degree in information technology, computer science, data analytics, or related field
• 2-4 years of work experience in data engineering, BI development, or a closely related technical analytics role
• Demonstrated experience with ETL processes, data integration, and/or data warehouse environments
• Experience with BI tools such as Domo, Tableau, Power BI, or Business Objects
• Agile project management experience beneficial
• Data modeling knowledge and familiarity with data warehouse best practices a plus
• Data science, statistics, R, and/or Python programming background a plus

Work Environment / Physical Requirements:

• Office environment, heavy computer use
• Must be able to work extended hours as needed
• Occasional travel required
• Light physical effort equal to frequent lifting or moving of lightweight materials
• Regularly required to sit or stand, bend and reach

TaylorMade is a performance driven organization and our total rewards approach to compensation is designed to support this. We consider many factors in determining base compensation, including position scope, job related knowledge, education, skills, experience, and work location. The expected annual base pay range for this position is $100,000 - $125,000 . Additional benefits, such as health & welln