Applix

Applix provides an AI-powered manufacturing ecosystem designed to achieve zero defects, zero waste, and zero delays. Their platform offers real-time AI-driven defect detection, root cause analysis,…

AIInventory ManagementManufacturingQuality ControlSupply ChainZero Defectsapplix.ai

Applix

AIInventory ManagementManufacturingQuality ControlSupply ChainZero Defectsapplix.ai

HQAustin, US

Team Size14

Open Jobs14

Total Funding-

Latest FundraiseUnknown

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Senior Data & Analytics Engineer

On-SiteDallas, TX, US

On-Site • Dallas, TX, US

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Company Description

Applix is the creator of the manufacturing industry’s only Manufacturing Operating System (mOS), designed to bring automation, control, and scalability to modern factory environments. Focused on the “Triple Zero” vision—zero defects, zero waste, and zero delay—Applix combines industrial AI, data platforms, and engineering expertise to help manufacturers transform operations at scale. Our solutions integrate across machines, systems, and enterprise applications to enable smarter, faster, and more reliable decision-making on the factory floor.

Role Description

We are seeking a Senior Data & Analytics Engineer – Microsoft Fabric (COE) for a full-time, on-site role supporting a Fortune 100 enterprise in Dallas, TX. This role sits within a centralized Business Intelligence and Intelligent Automation Center of Excellence (COE) and focuses on enabling enterprise-wide adoption of Microsoft Fabric and modern analytics practices.

Rather than building isolated dashboards, you will partner with business units and engineering teams to design scalable data architectures, develop reusable assets, and guide the migration of legacy analytics environments to Fabric. You will play a key role in shaping Lakehouse architectures, semantic models, and governance frameworks while ensuring high performance, reliability, and data quality across the analytics ecosystem.

Qualifications

Strong experience in data engineering, data modeling, and modern analytics platforms

Hands-on expertise with Microsoft Fabric, including Lakehouse, Data Factory (pipelines, Dataflows Gen2), and notebooks

Advanced proficiency in Power BI, including semantic modeling, DAX, performance tuning, and workspace design

Solid understanding of ETL/ELT processes, medallion architecture (Bronze/Silver/Gold), and SQL-based transformations

Experience building scalable data pipelines, reusable data assets, and governed analytics environments

Strong troubleshooting skills across data pipelines, BI tools, and distributed data systems

Experience with scripting or automation using Python, PowerShell, or SQL

Ability to collaborate with cross-functional teams and communicate effectively with both technical and business stakeholders

Experience working in enterprise environments or COE/platform enablement roles is a strong plus

Familiarity with Azure data services, CI/CD practices, and BI platform governance is preferred

Need to have a green card or be a citizen of the US.

Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field