Data Platform Engineer (AI)

Location: Remote in the U.S.; San Jose office (HQ)

Salary: $200,000–$300,000 annually, plus equity

Company

hirify.global builds multi-agent AI systems that automate complex enterprise workflows across platforms such as SAP, Salesforce, Workday, Snowflake, and MuleSoft.

What you will do

• Build core data platform services and APIs for data access, query execution, ingestion, and synchronization.
• Develop reusable connector frameworks and abstractions for enterprise systems and varied data access patterns.
• Improve query and data-movement performance through partitioning, parallelism, and efficient resource management.
• Build orchestration, retry, checkpointing, and observability capabilities to ensure reliable execution and data correctness.
• Take platform capabilities from design to production in collaboration with product and engineering teams.

Requirements

• 4+ years of experience as a Data Platform Engineer.
• Strong Python and SQL skills with experience building maintainable, tested production software.
• Experience developing backend services, data infrastructure, or data platform components.
• Understanding of relational databases, query optimization, data formats, and data materialization tradeoffs.
• Experience with concurrent or distributed workloads, failure handling, resource management, and performance debugging.
• Remote work must be based in the United States.

Nice to have

• Experience with analytical query engines, lakehouse technologies, workflow orchestration, enterprise integrations, or containerized infrastructure.
• Experience building connector libraries, developer-facing APIs, or shared engineering platforms.
• Familiarity with AWS, Azure, or GCP, including networking, storage, IAM, and infrastructure as code.

Culture & Benefits

• Work on AI products solving complex enterprise problems.
• Work at the intersection of AI, ERP systems, and automation.
• High ownership, high impact, and direct influence on product direction.
• Collaborate with a technical, customer-focused team.
• Equity offered as part of compensation.