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# Data Engineer, Analytics (Ranking, AI)

- **Company:** The Meta Game, Inc.
- **Location:** Menlo Park, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, C Sharp (Programming Language), C++ (Programming Language), Data Files, Data Integration, Extract Transform Load (ETL), Data Systems, Python (Programming Language), Machine Learning, Operational Databases, Standard Sql, Scala (Programming Language), Data Logging, Prompt Engineering, Programming Languages
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_4c7080722328bae63f98c1c743be7a67

## About the Role

* 7+ years of experience with SQL
 * Experience with ETL
 * Experience with data modeling
 * Experience with at least one programming language such as Python, C++, C#, Scala, or similar

Technologies

 * SQL
 * ETL
 * Python
 * C++
 * C#
 * Scala, * Proven ability to integrate AI tools to optimize workflows and deliver measurable impact such as efficiency gains or quality improvements
 * Ongoing AI skill development including prompt engineering and agent orchestration, keeping pace with emerging AI technologies
 * Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality reviews
 * Master's or PhD in a STEM field with coursework or research in data systems, machine learning, or related areas

## Description

* Own and design scalable data architectures for multiple large-scale initiatives, evaluating design choices and cost-benefit tradeoffs across systems.
 * Develop and contribute to logging data frameworks to boost data capture effectiveness, collaborating with infrastructure teams to triage and resolve issues.
 * Partner with engineers, product managers, and data scientists to capture data needs and translate insights into meaningful visual representations.
 * Establish and manage service level agreements for data sets within assigned domains.
 * Design and enforce security models aligned with privacy requirements, validate safeguards, address data quality concerns, and evolve governance processes in owned areas.
 * Create, deploy, and launch sophisticated data models and visualizations supporting multiple use cases across products and domains.
 * Address complex data integration challenges by applying efficient ETL patterns, frameworks, and queries across structured and unstructured sources.
 * Assist in maintaining production data processes, optimizing code performance through advanced algorithmic approaches.
 * Refine pipelines, dashboards, frameworks, and systems to streamline development of data artifacts.
 * Influence product and cross-functional teams to uncover data opportunities that drive measurable impact.
 * Provide mentorship through actionable feedback to teammates and peers.