×
Register Here to Apply for Jobs or Post Jobs. X

Senior BI Engineer

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-05
Job specializations:
  • IT/Tech
    Data Engineering, Data Warehousing, Business Intelligence
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
  • Partner with stakeholders across PnLs, Marketing, Operations, Accounting, and Finance to understand data needs and deliver actionable reporting solutions
  • Lead technical initiatives end-to-end from solution architecture through execution
  • Design, implement, and maintain complex, multi-layered SQL and Python processes for reporting and analytics
  • Architect and enhance ETL/ELT pipelines using Astronomer Airflow and other modern orchestration tools
  • Lead projects from scoping and design through delivery and ongoing support
  • Build, optimize, and support data marts and data warehouse solutions using Snowflake
  • Develop and maintain dashboards and reports in Strategy (MSTR) and/or comparable BI tools
  • Identify and implement AI use cases across business units using Enova’s AI technology stack, including Claude, AWS Bedrock, and Gemini
  • Advise on best practices, innovative designs, and emerging BI technologies
Requirements
  • Eligible to work in the United States; visa sponsorship or sponsorship takeover is not available
  • Expert-level SQL and database skills
  • Strong experience with relational databases and cloud data warehouses (Snowflake, Databricks, Big Query, or AWS Redshift)
  • Strong grasp of data warehousing and data mart concepts, including dimensional modeling (star schema, slowly changing dimensions, etc.)
  • 4+ years designing and implementing ETL/ELT pipelines
  • Hands-on experience with Astronomer (Apache Airflow) or similar orchestration tools
  • 4+ years working with enterprise BI and visualization tools – Micro Strategy, Tableau, Looker, PowerBI, or equivalent
  • Experience leveraging AI tools in day-to-day work, including coding assistants, agents, and identifying new use cases
  • Strong business acumen and ability to translate business needs into technical data solutions
  • Proven experience working directly with senior management and cross-functional stakeholders
  • Proficiency in Python for data transformation, pipeline automation, and analytics (nice to have)
Core Competencies

Demonstrates expertise in SQL and database management, with a strong focus on designing and implementing ETL/ELT pipelines and data warehousing solutions. Proficient in leveraging AI technologies and BI tools to deliver actionable insights and reporting solutions across business units.

Highest-signal resume keywords
  • Expert-Level SQL
  • ETL/ELT Pipeline Design
  • Snowflake Data Warehouse
  • Astronomer Airflow
  • Business Intelligence Tools
ATS Optimization Keywords Hard Skills
  • SQL
  • Python
  • ETL
  • ELT
  • Data Warehousing
  • Dimensional Modeling
  • Data Mart Concepts
  • AI Tools
  • Data Transformation
  • Pipeline Automation
Soft Skills
  • Business Acumen
  • Stakeholder Engagement
  • Cross-Functional Collaboration
Industry Keywords
  • Data Analytics
  • Reporting Solutions
  • Data Solutions
  • Technical Initiatives
  • Orchestration Tools
Tools & Technologies
  • Snowflake
  • Databricks
  • Big Query
  • AWS Redshift
  • Micro Strategy
  • Tableau
  • Looker
  • PowerBI
  • Claude
  • AWS Bedrock
#J-18808-Ljbffr
Position Requirements
10+ Years work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary