Software Engineer II, Data Analytics & Engineering (AI)

Location: Remote anywhere in the United States, with in-office collaboration required 1–2 times per month.

Company

hirify.global is a visual discovery platform that helps millions of people find creative ideas and plan meaningful experiences.

What you will do

• Develop and document instrumentation and experimentation standards for product development.
• Build scalable analysis pipelines and analytics tooling that generate reliable insights from complex datasets.
• Create tools and processes that provide Data Scientists and Engineers with self-service access to trusted datasets, insights, and metric definitions.
• Identify data quality and discoverability gaps and improve data governance and reliability.
• Maintain documentation for tools, datasets, metrics, and operating practices.
• Partner with Product, Engineering, Data Science, Data Engineering, and Business Intelligence teams to inform product improvements.

Requirements

• At least 2 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.
• Experience with SQL and Python, R, or a comparable programming language, including large high-dimensional datasets, nested data, window functions, query optimization, and data partitioning.
• Experience with workflow orchestration, ETL/ELT pipelines, and DAG dependencies across complex datasets.
• Ability to translate open-ended partner needs into technical objectives and collaborate across product, engineering, data science, data engineering, and business intelligence.
• Experience using and critically evaluating AI-assisted engineering work through testing, data validation, source-checking, or peer review.
• Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.

Culture & Benefits

• Flexible working model designed around the needs of each organization and role.
• In-person collaboration is required 1–2 times per month.
• The position is not eligible for relocation assistance.
• The role is eligible for equity in addition to base salary.
• Inclusive and equitable workplace environment.

Hiring process

• Interviews assess foundational skills, collaboration, problem-solving approach, and responsible use of AI.
• Candidates should be able to explain their reasoning and verify AI-assisted work.