Data Engineer, Product Analytics

Role overview

Responsibilities

• Conceptualize and own data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs.
• Create and contribute to frameworks that improve logging data; work with data infrastructure teams to triage and resolve issues.
• Collaborate with engineers, product managers, and data scientists to understand data needs and represent key insights meaningfully.
• Define and manage Service Level Agreements for datasets in areas of ownership.
• Determine and implement security models based on privacy requirements, verify safeguards, address data quality issues, and evolve governance processes.
• Design, build, and launch sophisticated data models and visualizations for multiple product and domain use cases.
• Solve data integration problems using appropriate ETL patterns, frameworks, and query techniques across structured and unstructured sources.
• Help own production processes and optimize complex code using advanced algorithmic concepts.
• Optimize pipelines, dashboards, frameworks, and systems to simplify development of data artifacts.
• Influence product and cross-functional teams to identify data opportunities and drive impact.
• Mentor team members by providing actionable feedback.

Minimum qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent.
• 4+ years of experience primarily working with data in a data analyst, data scientist, data engineer, or similar role.
• 4+ years of experience with SQL, ETL, data modeling, and at least one programming language; alternatively, 2+ years with a Ph.D.

Preferred qualifications

• Experience implementing responsible, ethical AI practices, including risk assessment, bias mitigation, and quality or accuracy reviews.
• Ability to integrate AI tools to optimize or redesign workflows and deliver measurable efficiency or quality improvements.
• Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies.
• A master’s or Ph.D. degree in a STEM field is preferred.

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