Note: The job is a remote job and is open to candidates in USA. Navitus Health Solutions is a leader in specialty drug management solutions, and they are seeking a Data Engineer to design, build, and operate modern cloud-native data platforms. The role involves collaborating with various teams to implement scalable data solutions that support analytics, AI, and machine learning initiatives.
Responsibilities
- Design and implement lake house architectures utilizing Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, Unity Catalog, and related modern data platform technologies
- Develop canonical enterprise data models, business entity mappings, master data structures, and reusable data products supporting enterprise reporting, analytics, automation, and AI initiatives
- Build and maintain bronze, silver, and gold data layers supporting governed, trusted, and AI-ready datasets
- Develop and maintain metadata, data dictionaries, business glossaries, lineage documentation, and data catalog integrations supporting enterprise data governance
- Design, develop, and maintain ETL pipelines for structured and unstructured data across cloud and on-prem environments
- Build and optimize data models, schemas, and storage solutions in SQL Server, PostgreSQL, and cloud-native databases
- Design and deliver AI-ready data products supporting machine learning, generative AI, intelligent automation, retrieval-augmented generation (RAG), and agent-based AI solutions
- Support feature engineering, vectorization pipelines, document enrichment, semantic search, and knowledge management capabilities used by enterprise AI platforms
- Design and support healthcare data integration patterns including claims, eligibility, pharmacy, clinical, operational, financial, and third-party partner data
- Support ingestion and transformation of structured, semi-structured, and unstructured healthcare datasets from internal and external sources
- Implement CI/CD workflows for data pipeline deployment and monitoring using tools such as GitHub Actions, Azure DevOps, or Jenkins
- Develop and maintain data integrations using AWS Glue, Azure Data Factory, Lambda, EventBridge, and other cloud-native services
- Design and implement DataOps practices including automated testing, deployment automation, data quality validation, monitoring, observability, and CI/CD pipelines for data workloads
- Develop API-based integrations supporting SaaS platforms, operational applications, third-party systems, healthcare data exchanges, intelligent automation platforms, and enterprise workflows
- Design and support event-driven architectures utilizing Event Hub, Event Grid, Service Bus, APIs, webhooks, and streaming data technologies
- Support machine learning, artificial intelligence, predictive analytics, and intelligent automation initiatives by developing scalable data pipelines, feature engineering datasets, training datasets, and operationalized data products
- Partner with RPA, automation, analytics, and AI teams to support workflow automation, intelligent document processing, agent-based AI solutions, and enterprise automation initiatives
- Implement secure data engineering practices including encryption, RBAC, data masking, row-level security, auditing, lineage tracking, and governance controls
- Ensure data quality, lineage, and governance through automated validation, logging, and monitoring frameworks
- Collaborate with cross-functional teams to gather requirements, design scalable solutions, and support analytics and reporting needs
- Monitor and troubleshoot data pipeline performance, latency, and failures; implement proactive alerting and remediation strategies
- Support data security and compliance by enforcing access controls, encryption standards, and audit logging aligned with HIPAA and SOC 2
- Maintain documentation for data flows, architecture diagrams, and operational procedures
- Participate in sprint planning, code reviews, and agile ceremonies to support iterative development and continuous improvement
- Evaluate and integrate new data tools, frameworks, and cloud services to enhance platform capabilities
- Partner with DevOps and Security teams to ensure infrastructure-as-code and secure deployment practices are followed
- Participate in, adhere to, and support compliance, people and culture, and learning programs
- Perform other duties as assigned
Skills
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field, or equivalent work experience, required
- 5+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, ETL development, and Cloud Data Architecture required
- Experience designing and implementing modern lake house architectures using Azure Databricks, Delta Lake, Azure Data Lake Storage Gen2, and related cloud-native data services required
- Proven experience with SQL, ETL tools, and CI/CD pipelines
- Hands-on experience with AWS and Azure data services and infrastructure
- Familiarity with data governance, compliance frameworks (HIPAA, SOC 2), and secure data handling practices
- Experience with CI/CD pipelines, automated testing, and version control systems
- Master's degree preferred
- AWS Certified Data Analytics or Solutions Architect, Microsoft Certified: Azure Data Engineer Associate, and Certified Data Management Professional (CDMP) preferred
- Experience developing canonical data models, enterprise data products, data mappings, master data structures, and governed analytical datasets preferred
- Experience building DataOps pipelines, automated testing frameworks, CI/CD processes, and data quality controls preferred
- Experience supporting AI, machine learning, analytics, automation, and intelligent business solutions through scalable data engineering practices preferred
- Experience working within regulated environments supporting HIPAA, HITRUST, SOC 2, NIST, or similar compliance frameworks preferred
Benefits
- Top of the industry benefits for Health, Dental, and Vision insurance
- 20 days paid time off
- 4 weeks paid parental leave
- 9 paid holidays
- 401K 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!
Company Overview
Company H1B Sponsorship