Senior Data Engineer (AI/ML)

Location: Palo Alto, California, United States; hybrid office attendance required

Salary: $145,000–$220,000 base annually, plus potential discretionary performance-based bonus, equity, and benefits.

Company

hirify.global is a fintech startup building a digital platform that helps RIAs and family offices discover, model, and manage private market investments.

What you will do

• Extend the AWS data lakehouse and model financial entities in a knowledge graph covering investors, funds, companies, and related relationships.
• Build scalable and reliable batch and real-time ETL/ELT pipelines using internal data and third-party APIs.
• Prepare datasets, feature stores, and retrieval infrastructure for machine learning models, LLM-based agents, semantic search, and real-time recommendations.
• Deploy and maintain data services with Docker, Kubernetes, AWS EKS, CI/CD, monitoring, dashboards, and production troubleshooting.
• Collaborate with the data lead, data science, backend, frontend, DevOps, and product teams to integrate data-driven features into the platform.
• Evaluate technologies such as Kafka, Kinesis, Airflow, and related data and AI tooling to improve reliability and scalability.

Requirements

• 5+ years of hands-on data engineering experience, including designing, building, and deploying large-scale pipelines and storage solutions.
• Strong AWS experience with services such as S3, EC2, ECS, EKS, Athena, Redshift, Glue, and Step Functions.
• Strong SQL, relational database design, data modeling, query optimization, and experience with data warehouses or lakehouses.
• Programming experience with Python and data-processing tools such as pandas or PySpark; experience with C#, Node, or TypeScript is valuable for data services.
• Experience with Docker, Kubernetes or AWS EKS, CI/CD, and workflow or DataOps tools such as Airflow, Prefect, or dbt.
• Understanding of ML data requirements, feature stores, vector embeddings, vector databases, AI agents, semantic search, and RAG; experience in a regulated SEC environment with sensitive financial data.

Nice to have

• Infrastructure-as-code experience with Terraform or CloudFormation.
• Experience with Snowflake, Databricks Delta Lake, Neo4j, AWS Neptune, pgvector, Chroma, or Pinecone.
• Familiarity with LangChain, LlamaIndex, Kafka, Kinesis, Airflow, or similar technologies.
• Bachelor’s degree in Computer Science or a similar technical field, or equivalent practical experience.

Culture & Benefits

• Hybrid collaboration from the Palo Alto office with a broader fully remote team.
• Medical, dental, and vision coverage, 401(k), and responsible vacation time.
• Travel may be required for team or department offsites.
• Culture focused on client experience, continuous improvement, open debate, meritocracy, adaptability, and technological change.
• Broadband internet connection required; compliance with the Code of Ethics is expected.

Hiring process

• An in-person interview may be required during the interview process.