Senior Staff Engineer – Data Analytics

🕒 September 25

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NationsBenefits

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Private Equity Round on 2022-04

Healthcare • Consulting • Logistics

NationsBenefits is a leading healthcare technology company that specializes in providing financial technology solutions and supplemental benefits management. The company offers a variety of services, including hearing care through NationsHearing, health and wellness products via NationsOTC, and meal delivery through NationsMarket. NationsBenefits also provides specialized services like emergency assistance, healthcare transportation, and personalized health guidance using artificial intelligence. Their proprietary platforms, including Benefits Pro™, facilitate member support, benefit configuration, and e-commerce transactions. NationsBenefits focuses on improving member outcomes, closing care gaps, and enhancing satisfaction through advanced analytics and custom programs.

📋 Description

• Design, build, test, and maintain production-grade analytical data models using dbt and Databricks • Develop scalable Gold-layer models that translate operational data into business-ready analytical datasets • Design dimensional, domain-oriented, and reusable data models for reporting, analytics, and downstream data products • Establish separation between raw/curated data, Gold analytical models, and the enterprise semantic layer • Implement testing, documentation, lineage, version control, and deployment practices for analytical data assets • Design and evolve semantic models for consistent business metrics, dimensions, and KPIs • Build analytical foundations optimized for Tableau and other BI or self-service tools • Centralize reusable definitions and reduce duplicated business logic across dashboards, reports, and analyst workflows • Partner with analysts and business teams to translate business concepts into governed analytical models • Treat analytical datasets, semantic models, and reusable metrics as managed data products • Build reusable data products for multiple downstream consumers • Partner with product, analytics, engineering, and business teams to identify and prioritize data products • Improve usability, discoverability, and self-service usage of analytical data • Develop Python, SQL, shell scripting, and similar utilities to automate data preparation, validation, deployment, monitoring, and operational workflows • Build repeatable engineering patterns that replace manual analytics processes • Participate in code reviews, debugging, performance optimization, and production support • Apply Git, CI/CD, automated testing, modular development, and infrastructure-aware deployment practices • Establish standards and design patterns for analytics engineering, modeling, semantic layers, and data products • Provide technical guidance and mentorship to analytics engineers, analysts, and adjacent data teams • Review architectures and code while remaining an active platform contributor • Partner with data platform and data engineering teams on architecture, performance, governance, and data quality • Help define the roadmap for the organization's analytics engineering capability

🎯 Requirements

• At least 10 years experience in analytics engineering, data engineering, business intelligence, or related disciplines • Advanced SQL skills and strong experience designing analytical data models • Production experience with dbt • Direct production experience with Databricks, including Delta Lake and modern lakehouse patterns • Experience developing analytical solutions consumed through Tableau or comparable BI platforms • Strong understanding of dimensional modeling, Gold-layer architecture, semantic modeling, metrics, and data governance • Experience building reusable data products rather than primarily developing individual reports or dashboards • Proficiency with Python and scripting/automation • Experience with Git, CI/CD, testing, code review, and modern software development practices • Ability to translate ambiguous business requirements into durable technical solutions • Comfortable designing enterprise semantic models, writing dbt transformations, debugging Python, optimizing Databricks workloads, and working with business stakeholders • No specific educational credential stated

🏖️ Benefits

• Career advancement opportunities from within the organization • Fulfilling work environment • Opportunity to contribute to healthcare transformation • Work across multiple locations in the US, South America, and India