BI Data Engineer

About the role

As a BI Data Engineer, you’ll play a critical role in transforming data into meaningful insights that drive smart business decisions. Your responsibilities span designing, developing, and maintaining scalable BI solutions, analyzing data from various sources, and collaborating with end-users and other teams.

Responsibilities

• Design, develop, and maintain scalable BI solutions including databases, data warehouses, queries, views, reports, and dashboards.
• Collect, organize, and analyze data from multiple internal and external sources to answer business questions and improve key metrics.
• Build and maintain ETL processes, data pipelines, and integrations ensuring reliable and timely data availability.
• Partner closely with end users, BI Data Analysts, and software development teams to translate business needs into effective data solutions.
• Support the integration of BI and analytics platforms with enterprise applications and systems.
• Maintain BI tools, data loads, and production processes to ensure performance and data accuracy.
• Ensure data quality, consistency, and governance standards are met, including maintaining metadata repositories.
• Provide production support, communicate issues and resolutions to customers, and assist with ad hoc reporting needs.
• Create efficient, automated, and well-documented processes that comply with security, regulatory, and policy requirements.

Requirements

• A Bachelor’s degree in Accounting, Business, Economics, Law, Computer Science, or a related field.
• An equivalent combination of education and experience can be considered in lieu of a degree.
• 4+ years of related technical experience, including 3+ years working with large-scale datasets, databases, ETL, and analytics tools.
• Experience in banking, financial services, or insurance environments is helpful.

Qualifications

• Strong expertise in database systems, data warehousing, data modeling, and data integration techniques.
• Comfortable working with Microsoft SQL Server tools, including SSIS, SSAS, SSRS, Power BI, Fabric, and Synapse pipelines.
• Sharp analytical mindset and ability to turn raw data into actionable insights.
• Clear communication skills and collaborative abilities.
• Curiosity and proactive approach to learning new technologies and improving BI systems and processes.

Skills

• SQL, DAX, MDX, C#, Python, and dimensional modeling techniques.

Benefits

Targeted starting salary range (based on experience): $88,657-116,819
Annual incentive potential
Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
Paid vacation time, sick time and 11 company paid holidays
401k (with up to 4% match)
Tuition reimbursement

Pay

Targeted starting salary range (based on experience): $88,657-116,819

Schedule

Our schedule is flexible to accommodate your needs.