BI Engineering, Manager

Talanto; Denver, Northern (CO, KY); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote work

Job summary

Talanto is seeking a BI Engineering Manager to lead the BI team, design scalable data models, and deliver dashboards with Power BI, Looker, or Tableau.

You will guide data pipelines, implement dbt models, and automate ETL in Airflow, MWAA, or dbt Jobs while collaborating with stakeholders to drive data-driven decisions.

Qualifications

• Bachelor's degree in MIS/CS/Data Science or related field.
• 5+ years in BI/Analytics roles with leadership experience.
• Experience with Snowflake/Redshift/Databricks and BI tools.
• Strong SQL, dbt modeling, and data pipeline knowledge.

Responsibilities

• Lead and optimize the BI engineering team and initiatives.
• Set SLAs for data availability and accuracy across systems.
• Produce dashboards with Power BI, Looker, or Tableau.
• Collaborate with engineers to connect data sources and pipelines.
• Design complex data models and ETL processes using dbt/SQL.
• Automate DAGs in Apache Airflow and ensure CI/CD quality checks.
• Mentor cross-functional teams and align with stakeholders on data needs.
• Contribute to long‑term data strategy and governance.

Skills

Leadership

Mentoring

SQL

Data modeling

ETL design

Kanban/Agile

Analytics strategy

Education

Bachelor's in MIS/CS/Data Science

Tools

Power BI

Looker

Tableau

dbt

Apache Airflow

MWAA

dbt Jobs

CircleCI

Github Actions

Snowflake

AWS Redshift

Databricks

Confluence

Notion

Google Docs/Drive

Job description

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

Worksite Address: This is a fully remote position. Work from home benefit provided. Worksites are unanticipated.

Job Title: BI Engineering, Manager

Job Duties:

• Lead and optimize the Business Intelligence (BI) engineering team by overseeing the design, development, and implementation of BI systems and solutions.
• Establish Service-Level Agreements (SLAs) for data availability and accuracy.
• Produce and maintain data visualizations in dashboards and reports using Power BI, Looker, or Tableau.
• Lead and conduct discovery based on established business requirements, including reading production code and documentation, user testing the app, and meeting with engineering and system owners.
• Work with data engineering team members to connect external data sources and build long-term pipelines of the data to the organization’s main data warehouse.
• Design and implement complex data models using SQL query in dbt to support dashboards and ad hoc analysis and to transform raw source data into usable derived tables for BI/analytics tool consumption and visualization.
• Fully automate each created dbt/SQL model by scheduling tasks in ETL orchestration tools including Apache Airflow, MWAA or dbt Jobs.
• Design, build, and maintain Directed Acyclic Graph (DAGs) for the new ETL pipelines in Apache Airflow.
• Ensure smooth deployment of code to production by leveraging CI/CD monitoring tools including CircleCI or Github Actions.
• Provide peer code review feedback on Github Pull Requests.
• Lead, mentor, and collaborate with cross-functional teams and business stakeholders to gather reporting and data requirements, ensuring accurate and effective data models, dashboards, and reports.
• Contribute to long‑term data strategy and roadmap development.
• Establish data governance, quality control, and documentation standards.
• Manage projects using Kanban, Agile, or Scrum methodologies to ensure timely delivery and alignment with business objectives.
• Perform advanced analyses in large-scale data warehouse environments including Snowflake, AWS Redshift, or Databricks and document the analyses in a structured and organized manner, using knowledge management tools including Confluence, Notion, or Google Docs/Drive.
• This is a fully remote position. Work from home benefit provided. Worksites are unanticipated.

Degree Requirement: Bachelor’s degree in Management Information Systems, Computer Science, Data Science, or a closely related field.

Experience required: Five (5) years of experience as a Marketing Analyst, Marketing Analytics Manager, Data Science Program Manager, BI Engineer, or a closely related occupation.

Special Requirements: Two (2) of the five (5) years of experience must be in a managerial or team lead position within a BI engineering/data warehousing or similar industry.

Demonstrable knowledge and prior experience in:

• Any of the following data warehouses: Snowflake, AWS Redshift, or Databricks.
• Any of the following BI tools: Power BI, Looker, or Tableau.
• Any of the following knowledge management tools: Confluence, Notion, or Google Docs/Drive.
• Any of the following ETL orchestration tools: Apache Airflow, MWAA, or dbt Jobs.

Demonstrable knowledge and prior experience in:

• Designing and implementing complex data models using SQL query in dbt to support dashboards and ad hoc analysis and to transform raw source data into usable derived tables for BI/analytics tool consumption and visualization.
• Designing, building, and maintaining DAGs for the new ETL pipelines in Apache Airflow.
• Leading, mentoring, and collaborating with cross-functional teams and business stakeholders to gather reporting and data requirements.
• Either CircleCI or GitHub Actions.
• Either Kanban, Agile, or Scrum methodologies.

•••••••••••• is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender identity, sexual orientation, age, marital status, veteran status, or disability status. We look forward to reviewing your credentials and getting to know more about your experience!