Lead Analytics Platform Engineer

Title: Lead Analytics Platform Engineer
Location: Hartford, CT (Hybrid)
Job Type: Contract to Hire (9 Months)
Compensation: $40 - $44 per hour (W2)
Industry: Insurance & Financial Services
Key

Skills:

Python (Conda/Miniforge), R/RStudio Server, SAS 9.4/EG, AWS (EC2, S3, AMIs), Linux/Windows server administration, authentication/security (Kerberos, SSSD, PAM, Nexus IQ), analytics platform engineering

We are seeking a Technical Engineer Lead to serve as the senior technical consultant and hands‑on guide for an Advanced Analytics Engineering team within a large enterprise technology organization. You will own the lifecycle (design, upgrade, security, and support) of a multi-platform enterprise analytics ecosystem serving 500+ users across multiple lines of business (e.g., claims, business insights, personal insurance). The role blends deep infrastructure engineering across Python/Conda, SAS, and R;

AWS platform enablement; security & governance;
Disaster Recovery (DR) coordination; and production pipeline signoff for high‑stakes analytics workloads. You’ll mentor engineers, partner with business stakeholders, and drive strategic modernization (including AI‑assisted tooling) to improve reliability, velocity, and developer experience.

In this role, the Technical Engineer Lead serves as the senior technical authority supporting a large, enterprise-wide advanced analytics engineering organization within a major U.S. insurance carrier. This position oversees the end-to-end engineering lifecycle for multi-platform analytics environments—including Python/Conda, SAS, and R—spanning Linux, Windows, macOS, and AWS. You will guide the architecture and evolution of analytics platforms for 500+ users, ensuring reliability, security, performance, and standardization across systems.

The role includes leading platform upgrades, coordinating enterprise-level security remediation, optimizing cloud-based analytics environments, enabling identity and access integrations, and driving modernization initiatives such as AI‑assisted engineering. Additional responsibilities include Disaster Recovery coordination, governance for production pipeline signoff, and mentoring engineers on best practices in infrastructure, Dev Ops, observability, and automation.

• Provide senior-level technical leadership, architectural guidance, and troubleshooting expertise for all analytics platform engineering activities.
• Lead lifecycle management for Python/Conda, SAS, and R ecosystems across Linux, Windows, macOS, and AWS environments.
• Oversee enterprise-wide upgrades for SAS (Linux/Windows), R (server and desktop), Condaplus Python, web services, and platform dependencies.
• Manage configuration, performance, and connectivity for analytics platforms, including ODBC/DB connectivity, SAS mid-tier/IIS integration, and RStudio Server.
• Govern security practices using tools such as Nexus IQ, SSL/TLS certificate management, and Identity
  
  IQ automation for access provisioning.
• Maintain and enhance observability solutions, including custom monitoring dashboards, alerting systems, memory/process governance scripts, and file system health checks.
• Design and support AWS environments including EC2 analytics images (AMIs), S3 governance, Athena, and Terraform Enterprise provisioning workflows.
• Serve as Disaster Recovery Coordinator, maintaining readiness, documentation, and execution of DR testing across analytics platforms.
• Act as the production pipeline signoff owner, ensuring rigorous testing, validation, and staging for drivers, patches, and platform upgrades.
• Develop and maintain internal Flask/Python applications and the engineering portal using Nginx, Gunicorn, and systemd.
• Collaborate with cross-functional teams using Service Now, SharePoint, and Agile/Scrumban methodologies; advocate for AI-driven engineering practices such as Git Hub Copilot integration.

• Proven leadership as a principal/senior engineer for enterprise analytics platforms serving hundreds of users across mixed OS (Linux/Windows/macOS) and hybrid cloud (AWS).
• Hands‑on expertise with:
• Python/Conda…