> Markdown version of [/jobs/ext/146388-staff-data-automation-engineer](https://www.wearedevelopers.com/jobs/ext/146388-staff-data-automation-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff Data & Automation Engineer - **Company:** AppFolio, Inc. - **Location:** Santa Barbara, CA, United States - **Salary:** $152,000.0 - $190,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Database, Information Engineering, Data Transformation, Data Warehousing, Software Design Patterns, High-Level Architecture, Python (Programming Language), Marketing Information Systems, Operational Data Store, Salesforce.Com, Simple Object Access Protocol (SOAP), Systems Integration, Sql Optimization, Retrieval-Augmented Generation, Large Language Models, Snowflake, Marketo, Virtual Agents, Automation Anywhere - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=25565cc77a2b2c5a ## About the Role * Expertise in AI/LLMs: Significant hands-on experience building production workflows using LLMs (OpenAI, Anthropic) and Agentic AI frameworks. * Data Engineering Mastery: Advanced SQL and Python skills with deep experience working in cloud data warehouses like Snowflake or BigQuery. * System Integration: Proven ability to integrate external APIs (REST/SOAP) into operational data systems and revenue platforms. * Strategic Execution: Experience owning technical systems from initial experimentation through full-scale operationalization. * Collaborative Mindset: A track record of thriving in highly collaborative, cross-functional environments and mentoring junior engineers. Preferred * Experience supporting Growth or Revenue Operations teams. * Familiarity with dbt for transformation and Airflow for orchestration. * Knowledge of specialized data acquisition tools like Firecrawl. ## Description As the Staff Marketing Data & Automation Engineer, you will be a senior individual contributor responsible for designing and operationalizing applied AI capabilities within our Marketing and Go-To-Market workflows. Operating within enterprise data and automation standards, you will build scalable, AI-enabled systems that directly improve pipeline quality, targeting precision and conversion efficiency. In this role, you will own the AI-powered data transformation layer, from initial prompt design and model integration to downstream activation into core revenue platforms like Salesforce and Marketo. You will serve as a subject matter expert, mentoring team members and elevating the collective output of the department by defining reusable AI design patterns., * AI Solution Design: Translate Marketing OKRs into AI-enabled data workflows, designing systems for automated enrichment, summarization, and lead signal generation. * Architecture & Delivery: Implement AI workflows using enterprise frameworks (e.g., MCP) and evaluate model architectures-including RAG (Retrieval-Augmented Generation) and agentic workflows-based on performance and cost-scalability. * Data Activation: Operationalize AI-enriched signals into our Snowflake data warehouse and activate them across the revenue stack, including Salesforce (CRM) and Marketo (MAP). * Governance & Quality: Establish human-in-the-loop controls and evaluation frameworks to monitor model drift, accuracy, and compliance with data privacy policies. * Strategic Leadership: Advise leadership on AI opportunity sequencing and ROI, while identifying automation capacity to quantify total operational impact. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)