[Hiring] Applied Data Engineer @Vizio Ai

Role Description

We are looking for an Applied Data Engineer who can build strong data foundations and also contribute to analytics and AI-driven workflows. This role is ideal for someone who enjoys solving real-world data problems across different projects, and who is comfortable working across both data engineering and applied data science.

• Build and maintain data pipelines across client systems
• Integrate data from APIs, databases, SaaS platforms, spreadsheets, and cloud services
• Design and maintain data warehouse structures
• Prepare reliable datasets for analytics, dashboards, and reporting
• Support Power BI and analytics projects through backend data preparation
• Investigate datasets to uncover business insights and patterns
• Develop simple ML models or predictive logic when needed
• Contribute to AI-powered workflows, including LLM-based solutions and RAG systems
• Troubleshoot pipeline failures, broken integrations, and data inconsistencies
• Document data architecture, integrations, and system flows clearly
• Collaborate closely with our Tech Lead and delivery team

Qualifications

• Strong experience with Python and SQL
• Hands-on experience building data pipelines and ETL/ELT workflows
• Experience integrating APIs, SaaS tools, databases, and external systems
• Understanding of data warehousing concepts
• Ability to work across both data engineering and analytical workflows
• Experience exploring datasets and extracting meaningful insights
• Comfort working in fast-moving project environments
• Strong problem-solving mindset
• Good communication skills in English

Preferred Experience

• Experience with Azure data stack (Azure Data Factory, Azure SQL, Blob Storage, Functions)
• Experience with Databricks, Snowflake, Spark, or Dask
• Experience supporting Power BI projects
• Experience with PostgreSQL, SQL Server, or similar relational databases
• Exposure to LLM-based systems, RAG architectures, or AI pipelines
• Experience working with product teams, consultancies, or startups

Types of Projects You May Work On

• Building data pipelines from operational systems into analytics environments
• Preparing backend data models for dashboards and executive reporting
• Analyzing warehouse data to uncover patterns and insights
• Supporting web applications with structured data layers
• Building simple ML workflows and data-driven automation
• Contributing to AI-powered data applications using LLMs
• Improving or rebuilding unreliable integrations from previous vendors

How We Work

This is not a narrow corporate data engineering role focused on a single internal system. You will work across multiple clients, industries, and project types. We value people who can:

• Adapt quickly
• Think practically
• Communicate clearly
• Execute reliably without perfect documentation

You will work under the guidance of our Tech Lead and collaborate with analysts, developers, and project managers.

Why Join Vizio AI

• Work on real business problems across multiple industries
• Be part of a startup / venture studio environment
• Contribute to both analytics and AI-powered systems
• Build data infrastructure that directly affects client outcomes
• Take ownership of meaningful technical execution