Senior Analytics Engineer

Prime Therapeutics

. Partner with business stakeholders to define requirements and identify opportunities to improve data delivery and automate business processes .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $108,000 - $184,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting, developing, and maintaining scalable cloud-based data solutions, with a strong focus on data analytics engineering, relational and dimensional data modeling, and performance optimization. Proficient in SQL and ELT development, with experience in mentoring and establishing data engineering standards.

Highest-signal resume keywords

Data Analytics EngineeringSQL ProficiencyCloud-Based Data SolutionsRelational and Dimensional Data ModelingMentoring Junior Engineers

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureELT ProcessesData WarehousingData TransformationCode OperationalizationData ExplorationPerformance OptimizationAnalytics Engineering SolutionsReverse EngineeringAI Integration

Soft Skills

CollaborationTechnical LeadershipCross-Training

Tools & Technologies

Google CloudBigQueryGoogle Kubernetes Engine (GKE)GitHubJiraBusiness Intelligence Tools

Certifications & Qualifications

Dbt Certification

Industry Keywords

Pharmacy Benefit ManagementHealthcare EcosystemBenefit PlanningData Engineering Standards

Tech Stack

Tools & technologies

BigQueryCloudKubernetesPythonSQL

About the role

Key responsibilities & impact

Partner with business stakeholders to define requirements and identify opportunities to improve data delivery and automate business processes
Analyze source data and relationships among data assets to deliver actionable insights and decision support
Design, develop, test, and maintain data architectures, ELT processes, logical and physical data models, data marts, metadata repositories, and data warehouse solutions
Optimize data retrieval and dataset processing; develop scalable algorithms; improve data reliability, efficiency, quality, and performance
Maintain the business glossary, metadata, documentation, and resources supporting shared understanding of analytical data assets
Provide technical leadership for analytics initiatives and projects, ensuring information management, reuse, scalability, and governance
Develop and test proofs of concept to validate feasibility and demonstrate business value
Collaborate with and cross-train data scientists, systems analysts, report developers, and other technical partners
Reverse engineer existing codebases for migration to modern technologies
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in computer science, applied mathematics, engineering, or another IT-related field; or equivalent combination of education and/or relevant work experience
High school diploma from an accredited school or equivalent GED
5 years of experience in IT, including 3 years in data analytics engineering and experience in business intelligence, data warehousing, or analytics
Must be eligible to work in the United States without work visa or residency sponsorship
Ability to architect, develop, and maintain scalable cloud-based data solutions
Strong understanding of relational and dimensional data modeling, data transformation, code operationalization, and data exploration
Proficiency in SQL, stored procedures, ELT development, and cloud database platforms
Experience delivering complex analytics engineering solutions end to end
Experience mentoring junior analytics engineers
Experience establishing and applying data engineering standards, testing practices, code review expectations, and performance optimization techniques
Understanding of the pharmacy benefit management and broader healthcare ecosystem
Knowledge of and experience with benefit planning and modeling
Ability to leverage AI to create and enhance engineering deliverables
Experience reverse engineering existing codebases for migration to modern technologies
Preferred: dbt certification or equivalent hands-on experience
Preferred: Experience with GitHub and Jira
Preferred: Programming experience with Python and supported frameworks
Preferred: Experience with Google Cloud, BigQuery, Google Kubernetes Engine (GKE), business intelligence tools, and cloud technologies

Benefits

Comp & perks

Benefits, incentives, and additional compensation are available; details provided on the Benefits Page
Equal opportunity and affirmative action employer
Reasonable accommodations for employees with disabilities
Tobacco-Free Workplace