Job Description

The Senior / Principal Data Integration Engineer is responsible for architecting, developing, and maintaining real-time, event-driven, and API-based integrations across enterprise systems and data platforms. This role requires expert-level proficiency in Python, Azure Functions, Azure Logic Apps, Azure DevOps (CI/CD), RESTful APIs, and data connector development, as well as deep experience with Azure monitoring, alerting, and automation.


The ideal candidate will design scalable, secure, and observable integration solutions that connect applications, data lakes, and analytical systems across cloud and hybrid environments. Experience in life sciences, clinical research, or healthcare is a strong plus, along with familiarity with modern integration and orchestration frameworks in AWS (Lambda, Airflow, Step Functions).

Requirements

Design and implement event-driven, serverless data integrations using Azure Functions, Azure Logic Apps, and RESTful APIs. Develop Python-based integration services and connectors to interface with internal systems (ERP, CRM, CTMS, EDC, etc.) and external data sources. Build and maintain real-time streaming, pub/sub, and webhook-based data exchange mechanisms. Ensure integrations are modular, reusable, and compliant with enterprise security standards. Implement message queuing, retry, and dead-letter handling for fault-tolerant integrations. Use Azure DevOps and Git to implement full CI/CD pipelines for integration solutions.. Automate build, testing, and deployment processes using YAML pipelines and Infrastructure-as-Code templates. Configure logging, alerting, and monitoring using Azure Application Insights, Log Analytics, and Azure Monitor. Ensure observability across all integration services, including API health, performance, and throughput. Design and manage RESTful API interfaces and integrate with internal and external data services.. Develop custom connectors for Veeva, Dynamics 365, Salesforce, EDC, or similar platforms.. Implement robust authentication and authorization flows (OAuth 2.0, Managed Identities, etc.). Integrate with Azure Data Factory, Azure Machine Learning, and Azure OpenAI Services for intelligent automation and enrichment. Support data engineering and analytics teams by exposing integration endpoints or streaming data layers (e.g., via Delta Live Tables or Event Hubs). Apply best practices for error handling, version control, and security compliance (GDPR, HIPPA, GxP). Create comprehensive technical documentation and design diagrams. Collaborate cross functionally with product/system owners, business analysts, and data engineers to align integration designs with business objectives. + Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred). + 5-8 years of experience in data integration, automation, or middleware development. + Expert-level proficiency in: + Python (object-oriented and asynchronous programming) + Azure Functions (HTTP triggers, durable orchestrations, binding patterns) + Azure Logic Apps (workflow automation, system integration) + RESTful API design and consumption + Azure SQL + Azure DevOps, Git, and CI/CD pipelines + Azure logging, alerting, and monitoring tools (Application Insights, Log Analytics, Azure Monitor) + Visual Studio Code and related development tooling + Custom connector development and API management + Strong understanding of event-driven and real-time integration frameworks (pub/sub, Event Grid, Service Bus, Kafka, webhooks) + Working knowledge of Azure Data Factory, Azure Cosmos DB, Azure OpenAI, Azure Machine Learning, and C# + Experience in life sciences or healthcare industries is a plus. + Excellent analytical, debugging, and problem-solving skills. Core expertise: Expert-level in Python, Azure Functions, Azure Logic Apps, RESTful APIs, Azure DevOps (CI/CD), and data connectors Integration & Automation: Real-time and event-driven integrations, pub/sub messaging, webhooks, and serverless workflows. Monitoring & Reliability: Azure Application Insights, Log Analytics, alert rules, dashboards, and failure-recovery logic. DevOps & Deployment: Azure DevOps pipelines, Git branching, YAML automation, Infrastructure as Code. Cloud & DevOps: Azure ecosystem (ADF, ADLS, SQL, Event Grid, Service Bus), optional experience with Azure ML & OpenAI. AWS ecosystem (S3, Lambda, EventBridge, SNS, SQS) Data Governance & Quality: Metadata management, data validation frameworks, logging and monitoring. Programming & Tools: Python, REST APIs, C# (basic), Visual Studio Code, Postman Soft skills: Good communication, mentoring, Agile teamwork, analytical thinking, collaboration.

Benefits

Benefits of working at Allucent include:

Comprehensive benefits package per location Competitive salaries per location Departmental Study/Training Budget for furthering professional development Flexible Working hours (within reason) Leadership and mentoring opportunities Participation in our enriching Buddy Program as a new or existing employee Internal growth opportunities and career progression Financially rewarding internal employee referral program Access to online soft-skills and technical training via GoodHabitz and internal platforms Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees

Disclaimers:

"The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively "Allucent"). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources."