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Job Description

The Senior Analytics Engineer role at Prime Therapeutics focuses on building and improving scalable data solutions that enable dependable reporting, analytics, and governed self-service insights. This position leads complex initiatives from design through deployment and provides technical guidance to enhance data quality and delivery.

Responsibilities

  • Work with business stakeholders to define requirements, identify opportunities to improve data delivery, and determine which business processes and tasks can be automated.
  • Analyze source data and relationships among data assets to produce 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 aligned with business requirements.
  • Optimize data retrieval and dataset processing by developing scalable algorithms and identifying opportunities to improve data reliability, efficiency, quality, and performance.
  • Contribute to and maintain the business glossary, metadata, documentation, and related resources that support shared understanding and cross-functional collaboration.
  • Provide technical leadership for analytics initiatives and projects, ensuring solutions support 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 to improve solution quality, knowledge sharing, and delivery continuity.
  • Perform other duties as assigned.

Requirements

  • Bachelor’s degree in computer science, applied mathematics, engineering, or another IT-related field; or an 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, plus experience in business intelligence, data warehousing, or analytics.
  • Must be eligible to work in the United States without the need for work visa or residency sponsorship.

Preferred Qualifications

  • dbt certification or equivalent hands-on experience.
  • Experience with software development and work management tools such as GitHub and Jira.
  • Experience partnering with end users to gather requirements and deliver technical solutions from concept through implementation.
  • Programming experience with languages such as Python and supported frameworks.
  • Experience with cloud data platforms and associated technologies including Google Cloud and BigQuery.
  • Google Kubernetes Engine (GKE) experience.
  • Experience building and maintaining data and analytics products using common business intelligence tools and cloud technologies.

Additional Qualifications

  • Demonstrated 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.
  • Ability to develop, maintain, review, and translate data models into reliable analytical solutions.
  • Proficiency in SQL, stored procedures, ELT development, and cloud database platforms.
  • Demonstrated experience delivering complex analytics engineering solutions end to end, including design, development, testing, deployment, and operational support.
  • Demonstrated experience mentoring and developing junior analytics engineers through guidance on engineering practices, code quality, testing, and solution design.
  • Demonstrated 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.
  • Leverage AI to create and enhance engineering deliverables.
  • Reverse engineers existing codebases for migration to modern technologies.

Technology Stack

  • SQL, stored procedures, ELT
  • Cloud database platforms, dbt, Google Cloud, BigQuery
  • Google Kubernetes Engine (GKE)
  • Python
  • GitHub, Jira

Compensation

Potential pay for this position ranges from USD 108,000.00 to USD 184,000.00 per year, based on experience and skills.

Security and Compliance Statement

Every employee must understand, comply with, and attest to the security responsibilities and security controls unique to their job, and comply with all applicable legal, regulatory, and contractual requirements and internal policies and procedures.

Essential Functions Statement

Every employee must be able to perform the essential functions of the job. If requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions, absent undue hardship. Prime retains the right to change or assign other duties to this job.

Equal Opportunity and Other Employer Statements

  • Prime Therapeutics LLC is an equal opportunity and affirmative action employer.
  • Prime welcomes people of different backgrounds, experiences, abilities, and perspectives, including qualified applicants with arrest and conviction records and qualified applicants requiring reasonable accommodations in accordance with the law.
  • Prime Therapeutics LLC is a Tobacco-Free Workplace employer.
  • Positions will be posted for a minimum of five consecutive workdays.

Location

Remote (remote).

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