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Senior Data Engineer - Microsoft Data & AI

TtecdigitalAustin🇺🇸United StatesPosted Oct 1, 2026

Why this role stands out

Advance your career at a globally recognized Microsoft partner, where you will lead high-impact data architecture projects while enjoying the flexibility of a fully remote role and a highly competitive salary of up to $175,000. This position is perfect for a skilled engineer who thrives on technical ownership, mentorship, and building cutting-edge AI-integrated solutions within a supportive and innovative team culture. Apply today to elevate your expertise and join a world-class group of experts dedicated to your professional growth.

Quick overview

Salary$155k - $175k/yr
SeniorityMid Senior
Employment typeFull Time
Work modeRemote
LocationAustin, United States
Posted3 weeks ago
DatabricksAzureAzure Data Factory

Job description

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.
The TTEC Digital Microsoft Partner Practice, consisting of over 100 experts globally and growing, have the most recent certifications and experience with Azure AI, Power Platform and Microsoft Business Applications, earning them AI Inner Circle Awards, Eagle Awards, Partner of the Year, and eleven Inner Circle awards, all of which validate our employees' innovative industry solutions that fuel our clients' exceptional customer experience (CX).
We are seeking an experienced Senior Data Engineer to lead the design and delivery of end-to-end data platforms for our clients across the Microsoft Azure Data & AI stack (Azure Data Factory, Microsoft Fabric, Synapse, ADLS Gen2) and Azure Databricks.
This is a senior, hands-on technical role: you will own architecture and data modeling decisions, build production-grade pipelines yourself, and mentor other engineers, while also acting as a credible technical voice with client stakeholders.
The ideal candidate has deep experience delivering the full data lifecycle - ingestion, cleaning, preparation, analytics, and activation - and is comfortable designing the APIs and Model Context Protocol (MCP) integrations that let front-line systems and Data Agents / agentic AI interfaces consume that data.

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