Data Engineering & Analytics Senior Manager

Location: Miami, Fort Lauderdale, Clearwater, or Tampa, Florida. The position is based in the Clearwater or Fort Lauderdale office. Candidates living within 50 miles of either office must work on-site there; candidates outside this radius may be considered for a remote arrangement subject to company approval and business needs. On-site availability in Fort Lauderdale or Clearwater from Monday through Friday is required.

Salary: $175,000–$190,000 USD per year.

Company

Insurance organization focused on enrollment coverage, customer experience, and insurance distribution.

What you will do

• Own data-platform architecture, build-versus-buy decisions, engineering standards, and the quarterly roadmap.
• Build and operate production ETL/ELT pipelines and API integrations from cloud storage, CRM, Genesys Cloud, Retreaver, carrier, licensing, contracting, and book-of-business systems.
• Manage Snowflake operations, including access control, warehouse sizing, query performance, PHI and PII handling, testing, monitoring, alerting, documentation, and consumption costs.
• Build dimensional models, curated marts, semantic layers, and analytics-ready datasets for agents, agencies, carriers, plans, leads, calls, enrollments, policies, and commissions.
• Deliver call-center staffing and volume forecasts, enrollment-seasonality forecasts, and commission and revenue forecasts; support segmentation, attribution, experimentation, lead scoring, and agent-attrition models.
• Lead, coach, and grow the data team; manage incidents and recovery procedures; partner with operations, sales, compliance, finance, and technology leaders; and own the data-function budget.

Requirements

• 7+ years in data engineering, analytics engineering, or a closely related role, including 2+ years leading or mentoring a data team and making architecture or technology decisions.
• Advanced, current Snowflake experience covering data modeling, SQL optimization, RBAC, warehouse and workload management, and cost management.
• Advanced SQL and strong Python, with experience building and operating production ETL/ELT pipelines and API integrations.
• Deep knowledge of data warehousing, dimensional modeling, data-quality testing, observability, and cloud object storage.
• Working statistical competence in forecasting, segmentation, experimentation design, or predictive modeling applied to business decisions.
• Experience owning or materially influencing a cloud, software, or vendor budget.
• Ability to explain technical decisions and tradeoffs to non-technical executives and decline requests with a reason.
• Ability to work on-site in Fort Lauderdale or Clearwater, Monday through Friday.

Nice to have

• AWS, including S3, Lambda, Glue, EventBridge, and IAM; dbt or a comparable transformation framework; and Airflow, Dagster, or Prefect.
• Git-based workflow and CI/CD for data.
• Contact-center, CRM, insurance distribution, lead-generation, or performance-marketing data experience; Medicare or ACA experience is a strong plus.
• Experience handling PHI and PII under HIPAA and working with compliance teams on CMS and TCPA reporting.
• Bachelor's degree in a technical or quantitative field, or equivalent practical experience.

Culture & Benefits

• Customer-focused environment centered on improving lives and the insurance experience.
• Paid holidays, paid time off, medical insurance with national plan options, dental insurance, and vision insurance.
• 401(k) with partial company match.
• Voluntary life and AD&D insurance, accident, critical illness, and hospital indemnity plans.
• Employee assistance program, bereavement leave, and jury duty pay.