Cloud and Systems Integration Developer
Maxon
Build Azure infrastructure and enterprise integrations supporting Maxon’s creative software operations. Automate deployments, identity workflows, and system connections across the organization.
Open
NationsBenefits is a healthcare technology company that combines financial technology, supplemental benefits administration, and member support services. Its offerings include hearing care through NationsHearing, over-the-counter health and wellness products through NationsOTC, and meal delivery via NationsMarket. The company also supports emergency assistance, healthcare transportation, personalized health guidance, and other programs designed to help members access and use their benefits. Its Benefits Pro™ platforms support benefit configuration, member assistance, e-commerce transactions, and related program operations. NationsBenefits uses analytics and tailored programs to help health plans address care gaps, improve member outcomes, and strengthen the benefits experience. With teams spanning healthcare, consulting, and logistics, the company hires across functions connected to benefits technology and service delivery.
Senior Staff Data Analytics Engineer – Florida Remote
Senior Staff Data Analytics Engineer developing dbt, Databricks, and Tableau foundations for NationsBenefits’ healthcare fintech platform. The role focuses on governed data products, semantic models, and automation that support healthcare decision-making.
Description
- Build, test, and maintain production-ready analytical data models with dbt and Databricks
- Create scalable Gold-layer models that convert operational data into business-ready analytical datasets
- Develop dimensional, domain-focused, and reusable models for reporting, analytics, and downstream data products
- Maintain clear boundaries among raw and curated data, Gold analytical models, and the enterprise semantic layer
- Implement testing, documentation, lineage, version control, and deployment practices for analytical data assets
- Create and refine semantic models that standardize business metrics, dimensions, and KPIs
- Develop analytical foundations designed for Tableau and other business intelligence or self-service platforms
- Centralize reusable definitions to reduce duplicated logic across dashboards, reports, and analyst workflows
- Work with analysts and business teams to convert business concepts into governed analytical models
- Manage analytical datasets, semantic models, and reusable metrics as formal data products
- Create reusable data products for multiple downstream users
- Collaborate with product, analytics, engineering, and business teams to identify and prioritize data products
- Improve the usability, discoverability, and self-service adoption of analytical data
- Develop Python, SQL, shell scripting, and related utilities for data preparation, validation, deployment, monitoring, and operational automation
- Create repeatable engineering patterns that replace manual analytics workflows
- Contribute to code reviews, debugging, performance tuning, and production support
- Use Git, CI/CD, automated testing, modular development, and infrastructure-aware deployment practices
- Define standards and design patterns for analytics engineering, data modeling, semantic layers, and data products
- Guide and mentor analytics engineers, analysts, and adjacent data teams
- Review architecture and code while continuing to contribute actively to the platform
- Collaborate with data platform and data engineering teams on architecture, performance, governance, and data quality
- Help shape the roadmap for the organization’s analytics engineering capability
Requirements
- At least 10 years of experience in analytics engineering, data engineering, business intelligence, or a related discipline
- Advanced SQL capability and substantial experience designing analytical data models
- Professional production experience using dbt
- Hands-on production experience with Databricks, including Delta Lake and modern lakehouse patterns
- Experience delivering analytical solutions through Tableau or comparable business intelligence platforms
- Strong knowledge of dimensional modeling, Gold-layer architecture, semantic modeling, metrics, and data governance
- Experience creating reusable data products rather than focusing primarily on individual reports or dashboards
- Proficiency in Python and scripting for automation
- Experience with Git, CI/CD, testing, code review, and contemporary software development practices
- Ability to turn ambiguous business requirements into durable technical solutions
- Comfort designing enterprise semantic models, writing dbt transformations, debugging Python, optimizing Databricks workloads, and collaborating with business stakeholders
- No specific educational credential is stated
Benefits
- Opportunities for career progression within the organization
- A fulfilling work environment
- The chance to contribute to healthcare transformation
- Work spanning multiple locations across the United States, South America, and India
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