Data Engineer IV – Power BI

LMI

. Design, build, and maintain ingestion and transformation pipelines for Jira Commercial Cloud, Jira Align where available, LMS, surveys, and approved enterprise data sources .

Posted 11/3/2026full-timeRemote • United StatesMid-LevelSenior💰 $110,000 - $165,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining data ingestion and transformation pipelines using SQL and Python, along with advanced Power BI skills for creating semantic models and dashboards. Proficient in implementing data validation, access controls, and optimizing report performance while collaborating with stakeholders to define KPIs and ensure data integrity.

Highest-signal resume keywords

SQL ProficiencyPython ProgrammingAdvanced Power BI SkillsData Engineering ExperiencePublic Trust Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationDAX CalculationsData ValidationKPI DefinitionReport Performance OptimizationREST API IntegrationQuality MonitoringDimensional ModelingData Pipeline Development

Soft Skills

CollaborationTroubleshootingCommunication

Tools & Technologies

Power BIJiraAtlassian APIsAzure Data ServicesLMS

Certifications & Qualifications

Microsoft Power BI Data Analyst (PL-300)Fabric Data Engineer (DP-700)Azure Data Engineer (DP-203)Microsoft Fabric Analytics Engineer Associate (DP-600)Azure Database Administrator Associate (DP-300)

Industry Keywords

Data EngineeringBusiness IntelligenceFederal Health ProgramsDepartment of Veterans AffairsAgile Maturity

Tech Stack

Tools & technologies

AzureCloudPythonSQL

About the role

Key responsibilities & impact

Design, build, and maintain ingestion and transformation pipelines for Jira Commercial Cloud, Jira Align where available, LMS, surveys, and approved enterprise data sources
Use SQL and Python to clean, reconcile, combine, validate, and document multi-source datasets
Develop Power BI semantic models, DAX calculations, governed KPI definitions, refresh processes, and leadership dashboards
Create reporting on Agile maturity, training completion, Jira adoption, onboarding waves, and portfolio progress
Implement access controls, quality monitoring, lineage documentation, error handling, and report performance optimization
Collaborate with business analysts, administrators, and governance stakeholders on metric definitions and dashboard validation
Support recurring reporting, dashboard enhancements, and operational handover
Design ingestion, staging, transformation, and refresh processes integrating approved REST API extracts and structured enterprise data sources
Establish resilient SQL/Python transformation routines, quality tests, exception handling, provenance records, and scheduled refresh monitoring
Create semantic models, DAX measures, dimensional relationships, accessible visuals, and reporting controls for leaders and practitioners
Define and document KPI logic for training completion, Jira adoption, team readiness, maturity change, and implementation progress, with appropriate cohort denominators
Optimize report refresh and query performance, support role-based access, investigate discrepancies, and transfer runbooks and model documentation to sustainment teams

Requirements

What you’ll need

Bachelor's degree in computer science, engineering, data engineering, data science, information systems, or a related technical field; four additional years of relevant experience may substitute for a Bachelor's
5+ years of data engineering, BI engineering, analytics engineering, or comparable experience
Strong SQL and Python proficiency and experience building production data pipelines
Advanced Power BI skills including DAX, modeling, transformation, and dashboard publication
Experience with data validation, privacy-aware access controls, and stakeholder KPI requirements
Ability to obtain and maintain a favorable Public Trust determination and satisfy applicable federal personnel vetting, security, privacy, accessibility, and data-handling requirements
Microsoft Power BI Data Analyst (PL-300) or Fabric Data Engineer (DP-700) certification; previously issued Azure Data Engineer (DP-203) credentials are also accepted
Experience implementing governed Power BI datasets or semantic models, with well-documented calculations and controlled refresh or publication processes
Ability to validate data with business owners, explain uncertainty and gaps, and troubleshoot source-to-report differences
Prior experience supporting the Department of Veterans Affairs (VA), Veterans Health Administration (VHA), or federal health programs is highly desirable
Jira and Atlassian APIs, Azure data services, and enterprise portfolio reporting
Experience joining survey, LMS, HR, and software delivery data
Experience with Azure data services, cloud API pagination, monitoring, and reusable enterprise dashboard design patterns
Master's degree in data engineering, computer science, applied statistics, data science, or analytics is highly desirable
Additional certifications such as Microsoft Fabric Analytics Engineer Associate (DP-600) or Azure Database Administrator Associate (DP-300) are desirable