Engineer, Data Integration - Archimedes

Archimedes; United States; Hybrid; USD 120,000 - 160,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Educational Assistance Plan

Job summary

Archimedes is seeking an Engineer, Data Integration to design and implement enterprise data integrations in an Azure-first environment. You will work on API-based and event-driven architectures connecting healthcare systems, analytics platforms, and cloud services.

Responsibilities include building secure, scalable integrations, supporting Databricks and data lake workloads, and collaborating with data engineers, cloud and security teams to enable governance and automation across enterprise data

Qualifications

• Education requirements include a Bachelor’s degree in CS/IS/Data Engineering or equivalent.
• Master’s degree is preferred for more advanced roles.
• Experience: 5+ years in integration engineering or related fields.
• Experience designing enterprise API and event-driven architectures on cloud platforms.
• Healthcare data exchanges, EDI, or interoperability exposure is preferred.

Responsibilities

• Design, develop, and maintain enterprise integration solutions using APIs and cloud-native services.
• Build integrations between healthcare and enterprise systems and SaaS apps.
• Implement API-based patterns using REST, GraphQL, SOAP, and webhooks.
• Develop and support event-driven architectures with Azure services.
• Ensure secure, scalable data exchange and governance across platforms.
• Collaborate with cross-functional teams and comply with HIPAA/SOC2 where applicable.

Skills

Azure Functions

Logic Apps

API Management

REST APIs

Event-driven architecture

Azure Databricks

Azure Data Lake Storage Gen2

Kafka

Python

Security & Compliance

Education

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field

Master’s degree preferred

Tools

Azure Data Factory

Azure Functions

Azure Logic Apps

Service Bus

Event Hub

Azure Databricks

Azure Data Lake Storage Gen2

OpenAPI/Swagger

Git

Job description

About Us

Archimedes - Transforming the Specialty Drug Benefit. Archimedes is the industry leader in specialty drug management solutions, providing alignment, value, and transparency to sustain the prescription drug benefit. We eliminate PBM conflicts of interest such as drug spread, rebate retention, and pharmacy ownership, delivering rigorous clinical management at the lowest net cost.

Pay Range

USD $0.00 - USD $0.00 / Yr.

STAR Bonus % (At Risk Maximum)

0.00 - Ineligible

Work Schedule Description

Core Business Hours – Remote or Hybrid, 3 days in office from our St. Louis, MO or Brentwood, TN Office.

Remote Work Notification

Archimedes is unable to offer remote work to residents of the following states: Alaska, Arizona, Arkansas, California, Connecticut, Delaware, Hawaii, Idaho, Louisiana, Maine, Massachusetts, Michigan, Mississippi, Montana, Nebraska, Nevada, New Mexico, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, South Dakota, Utah, Vermont, Washington, West Virginia, and Wyoming.

Overview

The Engineer, Data Integration is responsible for designing, implementing, and supporting enterprise integration solutions that enable secure, scalable, reliable, and governed data exchange across internal applications, cloud platforms, third‑party vendors, healthcare partners, analytics platforms, automation services, and artificial intelligence (AI) solutions. Operating within an Azure‑first, Databricks‑centric environment, the Data Integration Engineer develops and supports API‑based integrations, event‑driven architectures, healthcare data exchanges, SaaS integrations, cloud‑native messaging platforms, and enterprise workflow automation capabilities. This role serves as a key technical contributor in the organization’s transition from traditional batch‑based and point‑to‑point integrations toward modern API‑first, event‑driven, cloud‑native integration architectures.

The Engineer, Data Integration collaborates closely with Data Engineers, Data Architects, DevOps Engineers, Cloud Engineers, Software Engineers, Security teams, business stakeholders, and third‑party vendors to enable seamless interoperability between operational systems, data platforms, automation platforms, analytics environments, machine learning solutions, robotic process automation (RPA) platforms, and enterprise AI initiatives.

Responsibilities

• Design, develop, and maintain enterprise integration solutions utilizing APIs, event‑driven architectures, messaging platforms, and cloud‑native integration services.
• Develop and support integrations between healthcare platforms, pharmacy systems, claims systems, eligibility platforms, financial systems, SaaS applications, partner ecosystems, and enterprise data platforms.
• Design and implement API‑based integration patterns utilizing REST APIs, GraphQL, SOAP services, webhooks, and modern service‑oriented architectures.
• Design and support event‑driven architectures utilizing Azure Event Hub, Event Grid, Service Bus, Kafka‑compatible services, and messaging platforms.
• Build and maintain secure integrations supporting Azure Databricks, Azure Data Lake Storage Gen2, analytics platforms, reporting systems, AI services, and operational applications.
• Design and implement healthcare data exchange solutions supporting claims, eligibility, pharmacy, clinical, operational, financial, and third‑party partner data.
• Develop integration mappings, transformation rules, canonical message structures, interface specifications, and data exchange standards.
• Support ingestion and movement of structured, semi‑structured, and unstructured data across enterprise systems and cloud platforms.
• Partner with Data Engineering teams to support ingestion of source system data into lake house environments and enterprise data platforms.
• Support enterprise AI, machine learning, analytics, and automation initiatives through development of secure, scalable integration services and data exchange capabilities.
• Design integrations supporting intelligent automation, RPA, workflow orchestration, agent‑based AI solutions, and low‑code/no‑code platforms.
• Develop and maintain integrations utilizing Azure Functions, Logic Apps, API Management, Service Bus, Event Hub, Event Grid, and related Azure‑native services.
• Design reusable integration frameworks, patterns, templates, and standards supporting enterprise interoperability initiatives.
• Implement CI/CD pipelines supporting integration deployment, testing, monitoring, and lifecycle management.
• Develop automated integration testing, validation, monitoring, and observability capabilities.
• Monitor integration performance, throughput, latency, failures, and service health while implementing proactive remediation and alerting.
• Implement secure integration practices including authentication, authorization, encryption, secrets management, auditing, and compliance controls.
• Support API lifecycle management, API governance, versioning, throttling, monitoring, and developer enablement practices.
• Collaborate with security teams to implement secure service‑to‑service communication, RBAC, managed identities, OAuth, OpenID Connect, and enterprise security controls.
• Maintain integration architecture documentation, interface specifications, operational runbooks, data flow diagrams, and support procedures.
• Participate in sprint planning, code reviews, architecture reviews, and agile delivery processes.
• Evaluate emerging integration technologies, automation platforms, API management capabilities, and cloud‑native integration services.
• Partner with DevOps and Cloud Engineering teams to implement Infrastructure‑as‑Code, deployment automation, monitoring, and operational best practices.
• Participate in, adhere to, and support compliance, people and culture, and learning programs.
• Perform other duties as assigned.

Qualifications

• Education: Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field, or equivalent work experience, required. Master’s degree preferred.
• Certifications (Preferred): AWS Certified Data Analytics or Solutions Architect, Microsoft Certified: Azure Data Engineer Associate, Certified Data Management Professional (CDMP), Microsoft Certified: Azure Developer Associate, Microsoft Certified: Azure Integration Services, Microsoft Certified: Azure Solutions Architect Expert, and MuleSoft, Boomi, or API Management certifications preferred.
• Experience:
  • 5+ years of experience in Integration Engineering, Application Integration, API Development, Middleware Engineering, Enterprise Integration, or related disciplines required.
  • Experience designing and implementing enterprise API architectures, event‑driven architectures, and cloud‑native integration platforms required.
  • Experience supporting healthcare integrations, data exchanges, claims systems, eligibility systems, pharmacy systems, EDI transactions, or healthcare interoperability preferred.
  • Experience developing integrations utilizing Azure Functions, Logic Apps, API Management, Service Bus, Event Hub, Event Grid, and related Azure‑native integration services preferred.
  • Experience supporting Azure Databricks, Azure Data Lake Storage Gen2, analytics platforms, and modern data ecosystems preferred.
  • Experience implementing CI/CD pipelines, automated testing, observability, and operational monitoring for integration services preferred.
  • Experience supporting AI, automation, machine learning, intelligent workflows, and enterprise platform integrations preferred.
  • Experience working within HIPAA, HITRUST, SOC 2, NIST, or similar regulated environments preferred.
• Skills & Technologies:
  • Integration Platforms & Middleware: Azure API Management, Azure Logic Apps, Azure Functions, Service Bus, Event Hub, Event Grid, Kafka, Middleware Platforms, Enterprise Service Bus (ESB), Integration Frameworks.
  • APIs & Services: REST APIs, GraphQL, SOAP, Webhooks, OAuth 2.0, OpenID Connect, OpenAPI/Swagger, API Lifecycle Management.
  • Messaging & Event Streaming: Event Hub, Event Grid, Service Bus, Kafka, Event‑Driven Architecture, Publish/Subscribe Patterns, Streaming Data Integration.
  • Data Integration & Exchange: Data Mapping, Canonical Messaging Models, Interface Design, Data Transformation, EDI, Healthcare Data Exchanges, ETL/ELT Integration Support.
  • AI, Automation & Workflow Platforms: Azure AI Services, Intelligent Automation, RPA, Power Automate, Logic Apps, Workflow Orchestration, Agent‑Based AI Integration Patterns.
  • Cloud & Platform Services: Azure Databricks, Azure Data Lake Storage Gen2 (ADLS), Azure Data Factory (ADF), Azure Functions, Azure Key Vault, Managed Identities, Private Endpoints.
  • DevOps & Automation: Azure DevOps, GitHub Actions, CI/CD Pipelines, Infrastructure as Code, Automated Testing, Deployment Automation.
  • Languages & Tools: Python, C#, PowerShell, Bash, SQL, JSON, XML, YAML, Git.
  • Security & Governance: OAuth, OpenID Connect, RBAC, Managed Identities, API Security, Encryption, Secrets Management, HIPAA, HITRUST, SOC 2, Audit Controls.
  • Monitoring & Observability: Azure Monitor, Application Insights, Log Analytics, KQL, Distributed Tracing, Integration Monitoring, Operational Telemetry.

Benefits

• Health, Dental, and Vision insurance
• 20 days paid time off
• 4 weeks paid parental leave
• 9 paid holidays
• 401(k) company match of up to 5% – No vesting requirement
• Adoption Assistance Program
• Flexible Spending Account
• Educational Assistance Plan and Professional Membership assistance
• Referral Bonus Program – up to $750

Location

Remote – United States

EEO Statement

We are committed to providing equal employment opportunity to all applicants and employees and comply with all applicable nondiscrimination regulations, including those related to protected veterans and individuals with disabilities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, or handicap.