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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Analytics Data Engineer - **Company:** Armanino LLP - **Location:** Denver, CO, United States - **Experience:** Experienced - **Salary:** $90,000 - $125,000 - **Contract:** Permanent contract - **Skills:** Business Logic, Application Release Automation, Unit Testing, Microsoft Azure, Code Review, Information Systems, Continuous Integration, Information Engineering, Data Mapping, Data Transformation, Data Profiling, Database Development, Dimensional Modeling, Github, Apache Hive, Python (Programming Language), Power BI, Standard Sql, DataOps, Runbook, SQL Databases, Delivery Pipeline, Apache Spark, Software Troubleshooting, Git, Powerquery, Microsoft Fabric, Pyspark, Git Flow, Information Technology, Data Lineage, Deployment Automation, Data Analytics, Software Version Control, Data Pipelines - **Published:** November 11, 2026 - **Apply:** https://armaninollp.wd1.myworkdayjobs.com/Armanino/job/Denver-Colorado/Enterprise-Analytics-Data-Engineer_JR104541 ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, Engineering, or a related field, or equivalent practical experience. * Minimum of 2 years of experience in analytics engineering, data engineering, business intelligence engineering, data development, or a closely related technical role. * Strong working knowledge of SQL, including joins, aggregations, window functions, data profiling, troubleshooting, and source-to-output reconciliation. * Experience building or supporting analytical datasets, dimensional models, semantic models, reporting data structures, or data transformation workflows. * Understanding of data engineering and analytics fundamentals, including grain, keys, relationships, transformation logic, data quality, and validation concepts. * Demonstrated ability to work independently with broad objectives, identify gaps, research solutions, and drive assigned tasks to completion before escalating for assistance. * Strong problem-solving skills and learning agility, with a genuine interest in understanding both the technical solution and the business process it supports. * Ability to create and execute practical testing and validation plans that confirm data accuracy, reliability, and deployment readiness. * Strong attention to detail and appreciation for source control, documentation, operational standards, and maintainable engineering practices. * Effective written and verbal communication skills, including the ability to collaborate with senior engineers while independently managing day-to-day work and priorities., * Hands-on experience with Microsoft Fabric components such as lakehouses, warehouses, notebooks, data pipelines, semantic models, deployment pipelines, monitoring, or capacity concepts. * Experience with Power BI semantic models and DAX, including relationships, filter context, totals, time intelligence, row-level security, and performance troubleshooting. * Familiarity with dimensional modeling and medallion architecture, particularly the development of curated Gold-layer data products from governed Bronze and Silver foundations. * Experience with Python, PySpark, Spark SQL, Fabric notebooks, Power Query, or comparable data transformation technologies. * Experience using Git, branching strategies, pull requests, code reviews, and work-item-linked development practices. * Exposure to Azure DevOps, GitHub, CI/CD, deployment automation, infrastructure-as-code, environment configuration, or release governance. * Experience documenting data lineage, business rules, data contracts, technical designs, runbooks, or deployment procedures. * Experience working in an evolving environment where architecture, standards, and processes are being established while active delivery continues. ## Description * Build and maintain curated Gold-layer datasets, reusable analytical data products, and business-ready transformations within Microsoft Fabric. * Translate business requirements and source-system data into well-structured facts, dimensions, conformed attributes, and governed business logic that support enterprise analytics. * Develop, enhance, and support Power BI semantic models, including relationships, measures, calculated logic, row-level security, refresh behavior, and performance considerations. * Own low to moderate-complexity engineering work with limited day-to-day direction, researching solutions and driving assigned work from requirements through validation and release. * Partner closely with senior analytics engineers to learn established architecture and development patterns, absorb repeatable work, and expand independent ownership over time. * Use SQL and, as appropriate, Python, Spark, notebooks, DAX, or Power Query to transform, validate, troubleshoot, and reconcile analytical data. * Create and execute practical unit tests, source-to-output reconciliations, regression checks, and deployment validation to confirm grain, joins, totals, historical behavior, and downstream readiness. * Participate in Git-based development practices, including branches, pull requests, peer reviews, work-item traceability, and controlled promotion through development, test, and production environments. * Learn and contribute to CI/CD, Microsoft Fabric deployment pipelines, release automation, environment configuration, and repeatable deployment evidence. * Investigate data discrepancies, failed refreshes, model issues, and deployment defects; document findings clearly, resolve routine problems, and escalate complex issues with relevant diagnostic evidence. * Create and maintain technical documentation, data mapping, runbooks, release notes, lineage information, and operational procedures that make solutions supportable and repeatable. * Collaborate with Enterprise Analytics & Insights, DataOps, governance, consultants, and business stakeholders while maintaining clear ownership of assigned day-to-day work. * Apply established naming, security, documentation, change-management, monitoring, and engineering standards, and recommend practical improvements as experience grows., Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.