Senior AI Data Engineer

About Us Scorpion is the leading provider of technology and services helping local businesses thrive. We do this by helping customers understand local market dynamics, make the most of their marketing, and deliver experiences their customers will love. We offer tools to know what’s going on with marketing, competitors, and customers. We offer a unique blend of AI support and teams of real human people with local expertise committed to customer success. At Scorpion, we are ready to do whatever it takes to help our clients reach their goals. Our technology and personalized tools bring everything together to help local businesses easily understand their unique business, market, and customer needs. We put SEO, Reviews, Advertising, Email Marketing, Chat and Messaging, Social Media, Website, Lead Management, Appointment Scheduling, and more to work for local businesses. We’re a technology-led service with a human touch. About the Role The Senior Data Engineer sits on Scorpion's AI team and plays a critical role in building and evolving the trusted data foundation that powers our AI products, tools, and decision-making. In this role, you'll build Scorpion's unified analytical data layer, providing AI agents, machine learning models, and internal teams with a single, reliable, and secure source of client and business data. You'll partner closely with engineering, data science, product, and AI leaders to design scalable analytical systems, build production-grade data pipelines from operational and third-party sources, and ensure data access is performant, consistent, and aligned with business needs. Your work will directly influence how Scorpion leverages data and AI to deliver value to clients and employees. Beyond day-to-day engineering, you'll help shape Scorpion's long-term AI and data platform strategy, determining how data is organized, governed, secured, and leveraged to support future products, insights, and AI-powered experiences. You'll establish and maintain data quality standards, reliability expectations, and service-level agreements that ensure trusted, queryable data is available across the organization. What Your Success Will Look Like Evaluate and improve data quality, completeness, and consistency across 30+ databases, applications, platforms, and APIs. Design and build Scorpion's analytical data platform, creating a trusted source of truth for business and client data. Develop and maintain scalable data pipelines that efficiently move data from operational systems into the analytical platform. Help teams transition from querying production databases directly to using trusted analytical data sources. Design data access patterns that enable AI agents and applications to quickly retrieve relevant client and business information. Build secure, scalable solutions that deliver client context and business insights to internal applications and AI-powered experiences. Define, monitor, and improve service level agreements (SLAs) for data freshness, availability, reliability, and performance. Partner with engineering, product, and data science teams to establish data standards, governance practices, and data contracts. Continuously improve the scalability, performance, and reliability of Scorpion's data ecosystem. Who You Are And What You Bring Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related technical field, or equivalent practical experience. Experience 7+ years of data engineering experience, including designing and operating production-scale analytical data platforms. Experience building scalable data pipelines, analytical systems, and data platforms in modern cloud environments. Experience integrating and unifying data from multiple systems into trusted, business-ready analytical platforms. Experience supporting data access and consumption patterns for applications, analytics, machine learning, or AI-powered solutions. Experience designing scalable data models that support analytics, reporting, and AI-driven applications. Experience establishing data governance standards, data contracts, and documentation practices across teams. Technical Skills Data Processing & Lakehouse Technologies Deep expertise with Databricks, Delta Lake, and Apache Spark for large-scale data processing, streaming ingestion, and data transformation. Data Warehousing & Analytics Experience working with Snowflake, BigQuery, ClickHouse, Azure Synapse, or similar analytical database technologies. Programming & Query Languages: Advanced SQL skills, including query optimization, execution planning, and performance tuning. Strong Python skills for data pipeline development, automation, transformation, and integration with production systems. Data Pipeline & Orchestration Tools Experience building and managing data pipelines using dbt, Airflow, Prefect, or similar orchestration and transformation tools. Architecture & Security Strong understandin