--- title: 'Data Engineer at Applied Curiosity - Drive Insights and Decision Making' canonical: 'https://feeny.ai/job/data-engineer-applied-curiosity-drive-insights-and-decision-making-austin-0ar3swjfz2yt' type: 'job' last_seen: '2026-09-09' --- # Data Engineer at Applied Curiosity - Drive Insights and Decision Making - **Company:** Applied Curiosity - Drive Insights and Decision Making - **Location:** Austin, TX - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-06-07 - **Last confirmed live:** 2026-09-09 - **Apply:** https://jobs.gem.com/applied-curiosity---drive-insights-and-decision-making/am9icG9zdDplsUV7_ytnGbtABY-kruus ## Job description The Mission Working on problems worth solving. At Applied Curiosity, we build responsible and informed decision cultures at our clients. Everyone lives and breathes data an AI, so you’ll be surrounded by an inquisitive, technical, and outcome focused group. If this is your jam, we are your people. We are a Snowflake, AWS, and Anthropic partner, and we’re looking for data engineering folks that love diagramming the big picture and then executing spectacularly so that the vision comes to life. ## Key Responsibilities - Architect & Build: Design enterprise-scale Snowflake environments (multi-account, cost-optimized). - Develop Pipelines: Build and optimize data flows using Python, dbt, and Airflow. - Client Strategy: Translate business needs into technical blueprints and lead client communications. - Governance: Implement security and compliance frameworks within Snowflake. - Leadership: Mentor junior engineers and collaborate with our Snowflake, AWS and Anthropic partners. Essential Requirements - Experience: 8+ years in Data Engineering. - Specialization: 4–5+ years of deep, hands-on expertise with Snowflake. - Ownership: A proven track record of managing full-cycle projects (Discovery → Architecture → Production). - Communication: Ability to explain complex technical solutions to non-technical stakeholders. Why Join? - Work with award-winning data pros. - Total autonomy over problem-solving. - High-visibility projects with massive organizations. If you’re a Snowflake expert who loves solving hard problems, working with both Claude Code and IRL co-workers, we’re ready for you to join the team and start making an impact. ## About Applied Curiosity - Drive Insights and Decision Making ## Company Overview - **One-liner**: Applied Curiosity is a fast-growing data and AI consulting firm based in Austin, TX, that helps government and enterprise clients build responsible, data-informed decision cultures through practical AI/ML solutions. - **Entity Type**: Private (Privately Held) - **Headquarters**: Austin, Texas, United States - **Founded**: 2023 - **Founders**: Sid Atkinson (Co-Founder & CEO), Lee Harper (Co-Founder & President/Chief AI Officer) ## Core Business - **Primary industry**: IT Services and IT Consulting, Data & AI Consulting - **Target customers**: B2B, government clients, and organizations ranging from Fortune 50 companies to statewide transformations - **Mission or purpose statement**: "Empower Responsible and Informed Decision Cultures" ## Products & Services - **Data Engineering**: SQL and Spark-based data pipelines, data quality investigations, and turning "can you just pull this data real quick" into production-grade solutions. - **Data Science**: Forecasting, fraud detection, predictive maintenance, and building practical models that clarify statistical vs. practical significance. - **Data Platform**: Zero-trust data platforms, cloud infrastructure on AWS and Databricks, and MLOps at enterprise scale. - **AI/ML & GenAI Solutions**: Deploying real AI systems—from new GenAI capabilities to rescuing data governance efforts—with a focus on impactful, measurable outcomes. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Key Metric**: Total Funding: Not disclosed; Headcount: 12 employees (+25% YoY) - **Notable Investors/Partners**: AWS Partner, Databricks Partner; clients include Fortune 50 organizations and statewide government transformations - **Growth Signals**: Headcount grew 25% YoY; LinkedIn followers grew 33% yearly; actively recruiting for Data Engineering, Data Science, and Data Platform roles; expanding talent network across the US. ## Competitive Advantages - Focus on responsible, informed decision cultures rather than AI hype - Deep expertise in AWS and Databricks with a modern tech stack (SQL, Spark, Python, MLOps) - Leadership with PhDs from Oxford and Carnegie Mellon, plus multiple worldwide partner awards in data - Proven track record of state-wide data transformations, enterprise-scale ML Ops, and dozens of deployed AI/ML systems - Lean and Agile practitioner culture that emphasizes practical, impactful outcomes ## Strategic Focus - Scaling delivery of "real AI"—practical, impactful AI/ML systems for government and enterprise clients - Building out a "virtual data office" offering, from CDO and Chief Data Scientist to data operations - Expanding GenAI capabilities and data governance services - Growing the team across the US while maintaining a hybrid, Austin-rooted culture ## Why Work Here - **Culture**: "Everyone here speaks SQL and Spark," coffee lovers, and a team that celebrates curiosity and problem-solving ("lost your cape? We'll provide one") - **Hybrid workspace**: Employees engage in a combination of remote and on-site work (Built In) - **Location**: Team members located throughout the US, with headquarters in Austin, TX - **Impactful work**: Government clients, modern tech, and real-world AI deployments - **Talent network**: Always open to meeting data lovers even when not actively hiring; roles planned in Data Engineering, Data Science, and Data Platform - **Note**: Candidates must have the right to work in the USA without requiring current or future sponsorship ## Sources 1. [appliedcuriosity.ai](https://www.appliedcuriosity.ai/careers) 2. [appliedcuriosity.ai](https://appliedcuriosity.ai/who-we-are/) 3. [gem.com](https://jobs.gem.com/applied-curiosity---drive-insights-and-decision-making/am9icG9zdDr7qB2wHYGQKq3yVViyCYOY) 4. [linkedin.com](https://linkedin.com/company/applied-curiosity-ai) 5. 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