Analytics Engineer

Gainwell Technologies

Databricks Analytics Engineer at Gainwell designing and maintaining enterprise data pipelines for healthcare operations. Collaborating with analytics teams to deliver high-quality data solutions.

Posted 7/9/2026full-timeRemote • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and maintaining Databricks data pipelines and analytics datasets, with a strong focus on data quality and production reporting within cloud-based platforms. Proficient in collaborating with analytics teams to align data structures with business requirements and providing technical leadership in solution delivery.

Highest-signal resume keywords

Databricks Solutions DevelopmentSpark ProgrammingSQL ProficiencyETL/ELT ProcessesHealthcare Analytics Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData Model DesignData TransformationAnalytics Dataset CreationData Quality Practices

Soft Skills

Analytical SkillsCommunication SkillsProblem-Solving SkillsCollaboration Skills

Tools & Technologies

Power BICI/CDDevOps

Industry Keywords

Healthcare AnalyticsPharmacyPayerPBMPBAMedicaid

Tech Stack

Tools & technologies

CloudETLSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

flexible vacation policy
educational assistance
comprehensive leadership and technical development academies