Senior Business Intelligence Engineer

Location US-Remote
Category
Technology
Employee Type
Regular Full-Time
Remote
Yes
Posted Date
1 week ago(11/26/2025 2:12 PM)

Overview

Senior Business Intelligence Engineer - Job Description
This position involves designing and delivering enterprise BI and analytics solutions,
developing and maintaining data pipelines, and promoting self-service analytics across
the enterprise. Your mission will be enabling and empowering the business to be more
efficient with data and champion data driven decision making. You’ll be a mentor to
others on the team and across the business, encouraging them to be flexible, proactive,
and solution focused. Through a consultative approach, you will be a trusted partner
throughout the company to advise on improving outcomes with robust analytics.

We value open and honest communication, and we strive to create a positive and fun
team-based environment. We want teammates that challenge themselves, as well as
those around them to create high quality analytical products and services.

Responsibilities

Design, create and implement comprehensive BI and analytics solutions, and
encourage the adoption of self-service analytics throughout the organization

Develop, maintain, and support modern data pipelines while staying informed
on data analytics trends and following industry best practices for data
warehousing, ETL, ELT, and data analytics

Design and build data solutions and reporting needs with customers and
stakeholders. Coordinate with vendors to meet company standards and needs

Ensure the team designs, builds, tests, and maintains solutions for data
transformation from a variety of data sources while modeling data in an efficient
and performant manner

Document solutions, metadata, and processes to the required company
standard

Assist in problem management and root cause analysis
Guide the team to develop and maintain Enterprise Data Lakehouse
Partner with cross-functional Enterprise Data Management and Data Science
teams to understand analytic requirements and build efficient and scalable data
solutions

Build data expertise and employ best practices in engineering and analytics:
data quality, test designs, code reviews, documentation, continuous integration,
and continuous delivery

Work with team and product owners to prioritize and estimate effort
Participate in agile ceremonies, including planning, pointing, demos, and retros.
Assist with the DataOps delivery pipeline and processes
Mentor other analysts and data engineers, encouraging flexibility, proactivity,
and solution-focused approaches

Participate in architectural design decisions and communicate those to your
team

Qualifications

Bachelor's degree in Data Analytics, Computer Science, Applied Mathematics, Business, or a related field
5+ years of experience in Business Intelligence, Data Engineering, or analytics
Strong knowledge of data visualization tools and SQL
Strong knowledge of data transformation tools and techniques
Experience building and designing BI semantic models in SSAS tabular with deep knowledge of dimensional modeling (e.g. Ralph Kimball
methodologies/Star Schema)

Experience with modern data science languages and tools. Experience with data pipeline tools such as Azure Data Factory (ADF preferred) or Databricks workflows
Experience with data engineering for machine learning consumption
Experience with Azure cloud and Python for data transformation
Strong interpersonal communication skills and a collaborative, team-centric approach
Comfortable using work management tools such as Jira or Azure DevOps
Experience using version control such as Git, TFS, or SVN
Understanding of web services and other Application Programming Interfaces
 
Preferences:
Experience developing and operationalizing data pipelines for consumption in machine learning solutions within Databricks
Familiarity with agile methodologies and practices
Ability to mentor and lead junior team members
Strong consultative approach to problem-solving
 
 
#NoS

Pay Range

USD $130,000.00 - USD $150,000.00 /Yr.

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