BI Infrastructure Engineer

Posted 21 Days Ago
Hiring Remotely in US
Remote
75K-85K Annually
Mid level
Edtech
The Role
Design, build, and maintain data pipelines and Microsoft Fabric lakehouses; create Bronze/Gold Delta tables and Power BI semantic models with DAX and row-level security; develop SQL views and incremental load patterns; monitor pipeline health, support data governance, and train reporting staff on the new Fabric environment.
Summary Generated by Built In

Job Summary

Reporting to the Data Architect, the BI Infrastructure Engineer is a core contributor to the modern analytics ecosystem Ancora Education is building on Microsoft Fabric. This is a ground-floor opportunity to help design, build, and maintain the pipelines, lakehouses, and semantic models that power reporting and analytics across the entire organization. Rather than maintaining existing systems, this role helps shape an ecosystem that is being built now, making decisions that will influence how data is used at Ancora for years to come. The BI Infrastructure Engineer also helps reporting staff transition to the new platform, translating complex technical concepts into clear, approachable guidance for non-technical users. The data infrastructure built in this role directly supports Ancora's mission. The BI Infrastructure Engineer must uphold the Ancora core values at all times.

Key Responsibilities

  • Design and build data pipelines using Azure Data Factory to ingest data from the student information system into a Microsoft Fabric Lakehouse.
  • Develop and maintain Bronze and Gold layer Delta tables following Medallion Architecture principles.
  • Build and optimize Power BI semantic models, including relationships, DAX measures, and row-level security across multiple business domains.
  • Create denormalized SQL views on SQL Server to pre-stage data for Lakehouse ingestion.
  • Maintain and improve incremental load patterns using watermark-based pipeline strategies.
  • Collaborate with the Data Architect to design Gold layer table structures that support clean, maintainable reporting.
  • Assist in retraining reporting staff on Power BI and the new Fabric environment alongside the Data Architect.
  • Contribute to data governance standards, including naming conventions, documentation, and model design guidelines.
  • Support the future development of conversational AI agents built on top of the Fabric data layer.
  • Monitor pipeline health, troubleshoot failures, and maintain data quality across the Lakehouse.

Experience and Education Required

  • Hands-on experience with Microsoft Fabric, including Lakehouses, Delta Lake, and OneLake.
  • Proficiency in SQL — complex joins, CTEs, window functions, and query optimization.
  • Experience building and maintaining Azure Data Factory pipelines.
  • Familiarity with Medallion Architecture (Bronze, Silver, and Gold layers).
  • Power BI experience, including semantic model design and DAX measure development.
  • Ability to communicate technical concepts clearly to non-technical audiences.
  • Comfort working independently in a small team environment with minimal supervision.
  • Strong attention to data quality and validation.

Experience and Education Preferred

  • Experience with Python or PySpark for data transformation.
  • Microsoft certifications such as PL-300, DP-700, or AZ-900.
  • Experience with SQL Server, including stored procedures, views, and replication.
  • Familiarity with Direct Lake mode in Power BI semantic models.
  • Experience with incremental load patterns and watermark-based pipeline strategies.
  • Prior work in education, nonprofit, or mission-driven organizations.

Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is occasionally required to stand; walk; sit; use hands to finger, handle, or feel objects, tools or controls; reach with hands and arms; climb stairs; balance; stoop, kneel, crouch or crawl; talk or hear; taste or smell. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Work Environment  
Work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is usually not exposed to weather conditions. The noise level in the work environment is usually moderate.
Note
This is not necessarily an exhaustive list of all responsibilities, skills, duties, or requirements associated with the job. While this is intended to be an accurate reflection of the current job, management reserves the right to revise the job or require that other or different tasks be performed when circumstances change.
I have read and understand the above job description. I further understand that this is not an all-inclusive list and does not constitute a contract. My employment remains at will as with all employees of Ancora Education.

Work Environment

Note

Skills Required

  • Hands-on experience with Microsoft Fabric, including Lakehouses, Delta Lake, and OneLake.
  • Proficiency in SQL -- complex joins, CTEs, window functions, and query optimization.
  • Experience building and maintaining Azure Data Factory pipelines.
  • Familiarity with Medallion Architecture (Bronze, Silver, and Gold layers).
  • Power BI experience, including semantic model design and DAX measure development.
  • Ability to communicate technical concepts clearly to non-technical audiences.
  • Comfort working independently in a small team environment with minimal supervision.
  • Strong attention to data quality and validation.
  • Experience with Python or PySpark for data transformation.
  • Microsoft certifications such as PL-300, DP-700, or AZ-900.
  • Experience with SQL Server, including stored procedures, views, and replication.
  • Familiarity with Direct Lake mode in Power BI semantic models.
  • Experience with incremental load patterns and watermark-based pipeline strategies.
  • Prior work in education, nonprofit, or mission-driven organizations.
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The Company
HQ: Arlington, TX
543 Employees
Year Founded: 2013

What We Do

Ancora is a leading workforce solutions provider addressing America’s labor gaps through innovative and technology-driven educational programs. Ancora operates in three divisions: Ancora High School, Ancora Education, and Ancora Training. Ancora High School, accredited by Cognia™, provides adult learners the opportunity to complete a high school diploma in a highly flexible, self-paced, completely online format. Ancora Education offers technical education training programs specializing in healthcare, IT, business, and skilled trades through six private, post-secondary school brands with 22 campus locations across the nation. Schools include: Arizona Automotive Institute (AAI), Berks Technical Institute (BTI), Edge Tech Academy, McCann School of Business & Technology, Miller-Motte College (MMC) and South Texas Vocational Technical Institute (STVT). Ancora Training offers CDL and other customizable training solutions for corporate, community college, and government agency partners. Workforce solutions are provided by Ancora Training.

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