Analytics Engineer

🕒 4 days ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Healthcare Insurance • Human Services • Healthcare

Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

📋 Description

• Design, develop, and maintain Databricks data pipelines and curated datasets supporting reporting and analytics initiatives. • Build and optimize analytics-ready datasets while ensuring data quality through validation, monitoring, and reconciliation processes. • Partner with analytics and reporting teams to align data structures with business and reporting requirements. • Support production operations and deployments across multiple environments, including troubleshooting data and performance issues. • Develop and maintain technical documentation such as data mappings, transformation specifications, and operational procedures. • Provide technical leadership and delivery support through solution recommendations, code reviews, testing, and release readiness activities.

🎯 Requirements

• 5+ years of experience developing and supporting Databricks solutions utilizing Spark, SQL, and modern data engineering practices • Experience designing and maintaining data models, transformations, analytics datasets, and production reporting environments within cloud-based platforms • Experience supporting healthcare, pharmacy, payer, PBM, PBA, Medicaid, or state healthcare analytics programs • Strong knowledge of Databricks, Spark, SQL, ETL/ELT processes, and data quality practices • Understanding of Power BI reporting, semantic models, enterprise BI integrations, and governed analytics platforms • Strong analytical, communication, problem-solving, and collaboration skills, with familiarity with DevOps, CI/CD, and automated deployment methodologies.

🏖️ Benefits

• flexible vacation policy • educational assistance • comprehensive leadership and technical development academies