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Pacific Life
Pacific Life
1,001 – 5,000 Employees
H1B Visa SponsorFinanceInsuranceRetirement
Pacific Life is a financial services and insurance company focused on helping individuals, families, businesses, and institutions prepare for the future. Its offerings include life insurance, annuities, retirement solutions, and workforce benefits. Founded in 1868, the company combines long-standing experience in financial protection with a focus on developing products that support long-term financial security and meaningful outcomes for its customers.
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Analytics Engineer

Build AI, analytics, and Snowflake solutions for Pacific Life’s insurance and annuity businesses. Use Python, SQL, and generative AI to automate workflows and support decisions.

USUnited StatesCACaliforniaNENebraskaNCNorth Carolina
$103,140 – $126,060 / year
HybridFull-timeMiddleSeniorEnglish RequiredAnalytics Engineer
PythonReactSQLTableau

Description

  • Develop AI and analytics products, from generative AI apps and knowledge assistants to workflow automation and decision-support tools.
  • Work with Product Development Actuaries to turn business needs into scalable data, analytics, and AI capabilities.
  • Create and maintain data models, pipelines, and Snowflake assets for reporting, analytics, and AI tools.
  • Build dashboards that help teams make timely decisions.
  • Use Python and SQL to automate processes, improve data solutions, and increase efficiency.
  • Guide AI initiatives from initial concept through launch, adoption, and ongoing refinement.
  • Promote sound practices in analytics engineering, responsible AI, and data governance.

Requirements

  • Hold a bachelor’s or master’s degree in data science, statistics, computer science, engineering, mathematics, or a related field, or have equivalent experience.
  • Bring at least three years of experience in analytics, statistics, data engineering, data science, machine learning, AI, or a related discipline.
  • Have experience with SQL, Python, Snowflake, and dbt.
  • Be familiar with generative AI, large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), machine learning, and workflow automation.
  • Have built dashboards, analytics products, or data-driven business solutions.
  • Communicate clearly, solve problems effectively, and collaborate with technical and business teams.
  • Preferred: Experience with tools such as Snowflake Cortex, Streamlit, React, Microsoft Copilot, Claude Code, GitHub Copilot, Power BI, Tableau, or Alteryx.
  • Preferred: Experience developing AI assistants, copilots, agents, or other production-ready AI solutions.
  • Preferred: Background in insurance, financial services, or another highly regulated industry.

Benefits

  • Medical, dental, vision, and a wellbeing reimbursement account.
  • Paid time off.
  • Holiday schedules.
  • Financial planning time off.
  • Paid parental leave.
  • Adoption assistance program.
  • Competitive 401(k) savings plan with a company match.
  • Additional 401(k) contribution, regardless of participation.

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