About the role:
We are seeking a versatile and innovative Data Engineer who excels at the intersection of data engineering, full-stack development, and AI-powered integrations. The ideal candidate is skilled in SQL, AWS QuickSight, and modern data engines, with a strong ability to design secure, scalable systems that merge and sync diverse datasets in a virtual private cloud environment. Proficiency in building interactive, data-driven UIs and working with APIs and security protocols is essential. This role is perfect for someone passionate about harnessing the power of AI and data, with a meticulous focus on accuracy and meaning, while remaining flexible in tools and methodologies to deliver impactful solutions.
This is what you will do:
Data Engineering & Analysis
Design, build, and optimize data pipelines and data models for robust, scalable analytics.
Work with large datasets to extract meaningful insights and support data-driven decision-making.
Develop, deploy, and manage advanced and secure data systems using SQL, various AWS data pipelines & platforms, and other tools.
Integrate AI/ML capabilities into data pipelines and analytics platforms. Prototype and implement machine learning models that solve real-world business problems.
Data Visualization & UI Development
Build and maintain data dashboards, reports, and visualizations using AWS Quicksight or similar tools.
Design and develop user-friendly, interactive UIs for presenting complex datasets and models.
Collaborate with stakeholders to ensure dashboards and tools meet business needs.
Design and implement secure end-to-end solutions that integrate backend data systems with front-end applications or data displays.
Develop and deploy interfaces for advanced data visualization and interaction.
Collaboration & Problem-Solving
Work closely with cross-functional teams, including engineers, and business analysts, to align on project goals and deliverables.
Solve complex technical challenges related to data accuracy, integration, performance, and scalability.
Advocate for best practices in data governance, security, and architecture.
Requirements
Core Technical Skills
Proficient in SQL, AWS Athena, Quicksight, and other data visualization/analytics platforms.
Experience with modern data engines and tools (e.g., Snowflake, Redshift, BigQuery, or similar).
Strong programming skills in Python, JavaScript, R, and other languages.
Experience with backend technologies such as Node.js, Flask, or Django.
Ability to create and manage RESTful APIs for data systems.
Proven ability to create visually compelling and insightful dashboards and UIs.
Strong sense of design and user experience in data presentation, as well as systems-oriented design abilities (ability to deploy customizable secure data interfaces & visualization systems).
AI/ML Expertise
Solid understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Experience deploying and managing AI models in production environments.
Strong analytical and critical-thinking skills to solve complex data challenges.
Passion for exploring new AI capabilities and applying them to enhance data systems.
Soft Skills
Collaborative mindset and excellent communication and leadership abilities to coordinate with a diverse technical team.
Strong problem-solving skills.
Ability to work in an agile development environment.
Bonus points if:
Experience designing for platforms that incorporate AI, ML, or advanced analytics.
Familiarity with accessibility standards and inclusive design practices.
Knowledge of motion/interaction design and ability to create micro-interactions.