Description
Overview
We are seeking an Associate Data & AI Engineer to help build and scale the data and AI infrastructure that powers our analytics, automation, and decision-making. This role sits at the intersection of data engineering and applied AI, with a specific focus on deploying LLM-powered agents that automate high-value workflows across the organization.
This role is ideal for an early-career engineer who wants hands-on experience across data engineering, AI agent development, and marketing analytics. You will work closely with cross-functional teams to design data pipelines, build and deploy LLM-based automation agents, and deliver high-quality datasets and reporting that drive business impact. Real-world use cases include automating paid media reporting, daily KPI distribution, and performance dashboards.
What You’ll Do
Data Engineering & Infrastructure
- Design, build, and maintain scalable data pipelines (batch and real-time)
- Develop ETL/ELT workflows to ingest and transform data from multiple sources
- Support the development and optimization of data warehouses and data models
- Ensure data quality, reliability, and performance across systems
AI & Data Applications
- Design and deploy LLM-powered agents to automate repeatable reporting workflows, including paid media performance summaries and daily KPI digests
- Collaborate on building AI-driven tools and business dashboards
Product & Business Impact
- Partner with greater data and analytics team to deliver clean, usable datasets
- Translate business needs into scalable data solutions
- Enable analytics, reporting, and AI tools
Engineering & Collaboration
- Contribute to testing, and debugging
- Participate in code reviews and maintain high engineering standards
- Document workflows, pipelines, and project progress
- Support monitoring, observability, and continuous improvement of data systems
What We’re Looking For
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field
- 0–2 years of experience (internships, projects, or coursework included) in data engineering, software development, or data science
- Proficiency in Python and SQL
- Familiarity with data pipelines, data modeling, and ETL processes
- Basic understanding of cloud platforms (AWS, GCP, or Azure)
- Exposure to data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Understanding of machine learning concepts (e.g., NLP, neural networks, or data science fundamentals)
- Familiarity with LLM APIs and prompt engineering (e.g., OpenAI, Anthropic) with an understanding of how to build reliable AI-driven workflows
- Strong problem-solving skills and ability to work both independently and collaboratively
Nice to Have
- Experience with orchestration tools (Airflow, Dagster)
- Experience with Digital Analytics (Adobe), Social Analytics (Sprout) and Business Intelligence (DOMO, PowerBI)
- Exposure to real-time or event-driven systems
- Experience with agentic frameworks (LangChain, LlamaIndex, AutoGen, or CrewAI)
- Familiarity with workflow automation tools (n8n, Make, or Zapier)
- Portfolio or projects demonstrating data or AI work
Comp: $110-120K + bonus