AI Data Engineer

🕒 March 24

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Rockstar

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤖 Artificial Intelligence

Recruitment • HR Tech • Artificial Intelligence

Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.

📋 Description

• Query, extract, and transform data from the data warehouse (BigQuery) to answer complex, multi-dimensional business questions spanning inventory, organic sales, traffic, sponsored ads, and DSP. • Understand the full schema of the data warehouse — which tables hold what data, how they relate to each other, and what joins are required for accurate cross-domain analysis. • Partner with internal teams to identify the most common and highest-value analytical questions clients and team members need answered. • Design and build automated data pipelines and queries that feed AI tools with clean, structured, and contextually appropriate data. • Develop and refine Claude Skills and Gemini Gems that enable conversational AI to conduct reliable eCommerce data analysis — working directly with prompt engineers to encode analytical methodologies into AI workflows. • Collaborate with prompt engineers to document best practices for data analysis (statistical methods, benchmarking approaches, trend identification) so that AI tools can replicate expert-level thinking. • Continuously improve and validate AI-generated outputs against manual analysis to ensure accuracy and trustworthiness. • Help automate recurring analytical workflows into chatbot-style interfaces that the broader team can use without SQL knowledge. • Identify operational bottlenecks and repetitive tasks across the business, then design and deploy AI agents to automate them — from data reporting to client deliverable generation to internal workflow management. • Build, test, and maintain AI agents using Claude (Claude Code, Claude Co-work) and Gemini, ensuring they perform reliably and are adopted by the team.

🎯 Requirements

• Strong proficiency in SQL — complex queries, multi-table joins, window functions, CTEs. • Working proficiency in Python for data manipulation and analysis (Pandas, NumPy, or similar). • Familiarity with JavaScript and JSON file structures. • Hands-on experience with Google BigQuery. • Experience working with or developing for large language models — specifically Gemini (Gems) and/or Claude (Claude Code, Claude Co-work, Skills). • Hands-on experience building and managing AI agents that automate business processes and routine tasks. • Strong understanding of data warehousing concepts: schema design, table relationships, data modeling. • Ability to translate business questions into precise, efficient queries and then into AI-readable instructions. • Enough business acumen and operational awareness to independently identify automation opportunities — not just execute on what’s handed to you, but see what’s broken or slow and propose a solution. • Familiarity with digital commerce or eCommerce data (sales, advertising, inventory, traffic metrics) — does not need to be Amazon-specific but should understand the domain.