Hybrid BI Engineer - Data Pipelines & AI Analytics

Concord; Kansas City, Northern (MO, KY); Hybrid; USD 80,000 - 110,000; Full time

Benefits offered by this job

Health, Dental, and Vision Insurance

HSA contributions

FSA options with $200 LSA

Disability insurance

Life and AD&D Insurance

EAP

Career growth opportunities

Team engagement activities

PTO and holidays

Job summary

Concord is looking for a Business Intelligence Engineer to join our BI team. You will focus on data preparation, transformation, and analytics engineering to deliver trusted data products and actionable insights.

The role requires strong SQL and Python skills and experience with Databricks and Snowflake. You’ll collaborate with stakeholders to translate requirements into scalable data models and dashboards, enabling data-driven decision making.

Qualifications

• 5+ years in BI/Analytics engineering or similar roles.
• Experience with SQL, data modeling, and data warehousing concepts.
• Experience integrating data from multiple source systems.
• Experience with Databricks and Snowflake is preferred.
• Knowledge of AI-assisted analytics and governance considerations.

Responsibilities

• Create and maintain SQL queries, data models, and reporting structures.
• Develop data pipelines and ETL/ELT processes across cloud platforms.
• Transform raw data into trusted data products and dashboards.
• Collaborate with stakeholders to translate requirements into data solutions.
• Profile and validate data, identify gaps, and improve data quality.

Skills

Strong SQL skills

Python

Databricks

Snowflake

ETL/ELT

Data modeling

Cloud data platforms

Tableau/Power BI/Qlik

AI-enabled analytics

Education

Bachelor's degree in Analytics

Bachelor's degree in Computer Science

Bachelor's degree in Information Systems

Bachelor's degree in Business

Tools

Databricks

Snowflake

Tableau

Power BI

Job description

Concord is looking for a Business Intelligence Engineer to join our BI team. You will focus on data preparation, transformation, and analytics engineering to deliver trusted data products and actionable insights.

The role requires strong SQL and Python skills and experience with Databricks and Snowflake. You’ll collaborate with stakeholders to translate requirements into scalable data models and dashboards, enabling data-driven decision making.