Top Tech Jobs & Startup Jobs

Design and implement Databricks Lakehouse architectures and Medallion pipelines; build and optimize scalable ETL/ELT using PySpark/Spark SQL; integrate multi-source data (RDBMS/NoSQL/cloud); manage Databricks workspaces, governance, CI/CD, and platform integrations across Azure and AWS to enable analytics and high-performance data solutions.

Lead and co-lead new-hire and continuing education classes; track attendance; design activities and assessments; monitor trainee performance for three months post-nesting; ensure policy compliance; deliver curriculum; provide floor and online support; collaborate with quality, operations, and clients; implement process updates and training improvements.

Lead and manage cloud data engineering projects and team. Provide strategic guidance on cloud data engineering practices and drive continuous improvement of data processes.

Support senior analysts on LifePRO system implementations by gathering and documenting business requirements, creating and executing test cases, participating in system testing and validation, reproducing issues, assisting proof-of-concept work, attending client meetings, and learning insurance and actuarial concepts under supervision.

Lead workforce optimization across divisions: forecast call volumes, design scheduling and staffing plans, create automated metric scorecards, develop workforce policies, analyze real-time and historical contact center performance, and communicate volume drivers and outages.

Perform physical and remote premium insurance audits: interview clients, investigate and review business records, prepare written audit reports, meet with owners to review findings, transmit reports to Quality Review, correct returned audits, and maintain accurate audit and business records.

Build and maintain scalable Databricks-based ingestion and transformation pipelines across Bronze/Silver/Gold layers. Implement batch and streaming ETL/ELT with Spark and ADF, ensure data quality, performance tuning, governance, deployment support, and documentation while collaborating with architects and stakeholders to deliver production-ready analytics-ready datasets.

Manage end-to-end accounts payable activities including vendor maintenance, invoice processing (PO and non-PO), payment processing, exception research, vendor reconciliations, month-end accruals and forecasting, SLA adherence, and AP reporting.

Lead enterprise operational analytics and advisory for healthcare payment integrity. Consult with C-suite, drive ROI-focused analytics strategy, oversee ML/NLP and Agentic AI delivery, manage talent, and ensure operational KPI and revenue targets.

Serve as actuarial product SME for life and annuity implementations: review specs, translate actuarial requirements into configuration and testing guidance, support data conversion and balancing analysis, validate system behavior, and use SQL and scripting to analyze and reconcile source and target data.