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Senior AI Data & Analytics Engineer II

Data Engineer Full-time Permanent Remote - Chicago

Job details

$137,445—$231,000 Salary
Remote - Chicago Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build the data and AI foundation that supports marketing, sales, and self-service analytics. You will shape the technical roadmap, develop trusted data products, and turn open-ended business needs into reliable pipelines, models, and AI-enabled workflows. The role is open to candidates residing in the United States.

Responsibilities - Help define a multi-quarter roadmap for data and AI capabilities in marketing analytics. - Architect and own ETL/ELT pipelines, Databricks Gold Layer tables, and core models for segmentation, targeting, automation, and reporting. - Create semantic layers, data dictionaries, and documentation for self-service and conversational analytics; coordinate with BI partners on trusted sales and marketing metrics. - Translate ambiguous requests from marketing, sales, and research teams into scalable solutions, using evidence to guide decisions. - Lead cross-team data initiatives from integration through launch, managing dependencies and owning reliability and data quality. - Provide senior technical guidance, raise code quality, mentor engineers and analysts, and build AI-enabled products and agents with appropriate integrations, retrieval, and evaluation.

Requirements - The source describes a senior technical lead role requiring independent ownership of complex, cross-functional initiatives. - Ability to turn loosely defined business questions into clear requirements and scalable data solutions. - Strong engineering judgment across pipeline reliability, data quality, modeling, and code review. - Ability to work closely with BI, data science, and business partners and influence technical roadmaps. - The available source does not specify a degree, years of experience, or a complete list of required technologies beyond Databricks, Python, and SQL.

Benefits and work setup - US-based role with a flexible work model; remote work is supported where operational needs allow, and offices are available for in-person collaboration. - The source mentions comprehensive health and parental leave plans and a professional development stipend.

Skills detected in the listing

PythonGoSQLSnowflakedbtData WarehousingData EngineeringRequirements GatheringStakeholder ManagementMachine LearningLLM
Detected Nov 10, 2026
Last verified Nov 12, 2026

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