Data Engineer (AI)

Location: San Francisco, United States (hybrid)

Salary: $180,000–$220,000 USD per year

Company

hirify.global builds AI search infrastructure, retrieval systems, and knowledge layers for AI agents, applications, and enterprise workflows.

What you will do

• Build and maintain scalable batch and streaming data pipelines with Databricks, Spark, Kafka, and AWS services.
• Develop ingestion and ETL/ELT workflows from Salesforce, billing systems, product events, API logs, and other sources.
• Create reverse ETL pipelines that synchronize warehouse data with Salesforce, HubSpot, Braze, and other downstream tools.
• Develop curated datasets, dashboards, reporting layers, and finance metrics for analytics, forecasting, marketing, growth, and business performance.
• Prepare and serve high-quality datasets for AI/ML, RAG, vector database, embeddings, MCP, and agent-based applications.
• Monitor production pipelines, implement data quality checks and alerting, and define data contracts with cross-functional teams.

Requirements

• 6+ years of experience in data engineering or a related field.
• Hands-on experience with Databricks, AWS services, and Kafka.
• Proficiency in Python, PySpark, and SQL for large-scale data processing.
• Experience building ETL/ELT pipelines, data ingestion workflows, data modeling, and batch and streaming systems.
• Experience with reverse ETL, data activation, dashboards, and reporting workflows.
• Experience debugging production data issues and collaborating effectively across Finance, Engineering, Product, Analytics, Marketing, and Growth.

Nice to have

• Experience with DBT, Airflow, Fivetran, or similar tools.
• Experience with AI/ML data pipelines, RAG architectures, vector databases, or embeddings workflows.
• Familiarity with agent-based systems, MCP integrations, or LLM-powered applications.
• Experience building finance-specific metrics and pipelines.

Culture & Benefits

• Hybrid work with hubs in San Francisco and New York City, including regular in-person gatherings and co-working sessions.
• Flexible PTO, U.S. holidays, and a company shutdown week in December.
• Health insurance covering 100% of the policyholder and 75% of dependents.
• 12 weeks of paid parental leave in the U.S. and a 401(k) program with a 3% match.
• Work-from-home, technology, and health and wellness stipends.
• Collaboration with a team working at the forefront of AI research.

Hiring process

• Compensation is determined through an interview process based on geographic tier, internal leveling, and multiple candidate factors.
• AI-assisted tools may be used for scheduling, note-taking, transcription, or interview summaries; candidates may opt out where reasonably practicable.