Forward Deployed Data Engineer III (AI)

Location: Remote anywhere in the United States; Chicago-area candidates work hybrid in person 1–2 days per week, while candidates elsewhere in the U.S. work remotely. Must be eligible to work without sponsorship. Travel to the Denver headquarters, other North American offices, or RCM operations sites may be required or optional depending on the trip.

Salary: $140,000–$170,000 USD per year in most U.S. locations.

Company

hirify.global is a service commerce platform providing vertically tailored SaaS solutions, payments, marketing technology, and customer experience applications. EverHealth provides end-to-end SaaS solutions for healthcare practices, including EHR, communications, clearinghouse, and revenue cycle management products.

What you will do

• Partner with RCM professional services, operations, product, and engineering stakeholders to identify decisions, visibility gaps, metrics, and reporting needs.
• Design, build, and maintain pipelines and data models integrating EverHealth products, clearinghouse data, payer responses, operational tools, and AI agents.
• Build dashboards, self-service BI, and custom reports for timely insight into RCM performance and outcomes.
• Instrument AI agents and automations to compare resolution rates, accuracy, handle time, and business impact with human-driven work.
• Document data definitions, quality checks, and lineage, and help shape the warehouse, transformation, and BI stack.
• Use AI tools across analysis, SQL, pipeline development, testing, and documentation while protecting PHI.

Requirements

• 5+ years of professional experience as a data engineer, analytics engineer, or software engineer with a strong data focus.
• Expert SQL and solid Python skills, including production data pipeline development and maintenance.
• Hands-on experience with data warehouses or lakehouses, dimensional modeling, and ELT or transformation tooling.
• Experience building dashboards and reports in modern BI tools used by business stakeholders for decision-making.
• Strong interpersonal, written, and verbal communication skills, including translating business needs into metrics and presenting findings to business audiences.
• Ability to work with incomplete or messy data, make pragmatic tradeoffs, and deliver incremental value quickly.
• Daily hands-on use of AI coding and agent tools such as Claude Code, Cursor, or Copilot across the development lifecycle.
• Outcome-focused approach centered on the decisions enabled by data.

Nice to have

• Experience instrumenting or measuring AI agents, LLM applications, or automated workflows.
• Experience building AI agents or LLM-powered automation with AWS Bedrock or Bedrock AgentCore.
• Healthcare or RCM experience, including claims, EDI 837/835, eligibility, denial and A/R workflows, or HIPAA.
• Operational analytics experience for professional services, BPO, or contact center teams.

Culture & Benefits

• Hybrid or remote work depending on location, with a globally distributed team across the U.S., Canada, the U.K., Jordan, New Zealand, and Australia.
• Professional development investment and Day 1 health and wellness benefits with an annual wellness stipend.
• 401(k) with up to a 4% match and immediate vesting.
• Flexible and generous FTO and an Employee Stock Purchase Program.
• PHI must remain within the AWS environment with role-based access, audit logging, and de-identification in line with HIPAA, SOC 2, and HITRUST.