BI Engineering, Manager
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 32d ago
The date the source published, not the day we noticed it (2026-08-31). Last seen at its source 2h ago.
We have tracked this listing since 23 Sep 2026 (9 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay
$224.1k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
workday employer's own board first seen 9d ago · last seen 2h ago
- location not stated
The listing
Employer: EverCommerce Solutions Inc.
Headquarters Address: 3601 Walnut Street, Suite 400, Denver, CO 80205
Worksite Address: This is a fully remote position. Work from home benefit provided. Worksites are unanticipated.
Job Title: BI Engineering, Manager
Salary: $224,058 per year
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.
- This position requires travel to the EverCommerce headquarters in Denver, Colorado, for five (5) business days per quarter.
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.
Travel Requirements: This position requires travel to the EverCommerce headquarters in Denver, Colorado, for five (5) business days per quarter.
To Apply: Please apply through https://www.evercommerce.com/about-us/careers/. Only qualified applicants should apply. Must have U.S. employment authorization. Do not apply if you are in F-1 or H-1 status or otherwise require employer sponsorship for U.S. employment authorization.
Benefits Information: https://www.evercommerce.com/about-us/careers/
EverCommerce 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!