Lead Analytics Platform Engineer

Hybrid in Hartford, CT, US • Posted 14 hours ago • Updated 13 hours ago

Contract W2

Hybrid

Depends on Experience

Dahl Consulting

Fitment

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Summary

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

About the Role
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.

Job Description
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, DevOps, observability, and automation.

Key Responsibilities

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 IdentityIQ automation for access provisioning.
Maintain and enhance observability solutions, including custom monitoring dashboards, alerting systems, memory/process governance scripts, and filesystem 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 ServiceNow, SharePoint, and Agile/Scrumban methodologies; advocate for AI-driven engineering practices such as GitHub Copilot integration.

Qualifications
Required Qualifications:

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 (Miniforge/Miniconda) distribution management, environment standardization, and secure package governance (Nexus IQ/Repository).
SAS 9.4 (Linux/RHEL) and SAS Enterprise Guide (Windows), including upgrades, performance tuning, SAS/ACCESS connectivity (Teradata/DB2/Oracle), and IIS integration.
R ecosystem: RStudio Server, R versioning across OS, Rtools on Windows, CRAN mirroring/proxying, and Git-based workflows.
AWS core services (EC2, S3, Athena) and AMI creation/maintenance for analytics/ML.
Linux administration (RHEL/Ubuntu), Windows Server, web tier tools (Nginx, Gunicorn, IIS), and systemd.
Identity & Security: AD integration on Linux (SSSD/Quest VAS), Kerberos, PAM; SSL/TLS; secure CI/CD and artifact workflows.
Observability & Operations: Server monitoring, OOM prevention, filesystem health checks, capacity analysis, and proactive incident alerting.
Governance & DR: Production pipeline signoff, change management, and Disaster Recovery planning/testing.
Excellent cross-functional communication with engineering teams and non-technical stakeholders; strong documentation and change communication skills.

Preferred Qualifications:

Experience with Terraform Enterprise (TFE) or similar IaC in regulated enterprises; familiarity with AWS tagging standards and cost/governance controls.
Background with GPFS (or equivalent shared storage), Connect:Direct (or equivalent managed file transfer), and secure email relays for ops alerting.
Experience hosting internal Flask/Python apps behind Nginx/Gunicorn with SSO.
Familiarity with IBM SPSS, PyCharm, KNIME, and SAS Stored Processes/mid-tier administration.
Demonstrated success reducing incidents via observability, guardrails, and staged rollout strategies.
Advocacy for AI-assisted engineering (e.g., GitHub Copilot) to uplift team productivity.

Benefits
Dahl Consulting is proud to offer a comprehensive benefits package to eligible employees that will allow you to choose the best coverage to meet your family’s needs. For details, please review the DAHL Benefits Summary: https://www.dahlconsulting.com/benefits-w2fta/.

How to Apply
Take the first step on your new career path! To submit yourself for consideration for this role, simply click the apply button and complete our mobile-friendly online application. Once we’ve reviewed your application details, a recruiter will reach out to you with next steps!

Equal Opportunity Statement
As an equal opportunity employer, Dahl Consulting welcomes candidates of all backgrounds and experiences to apply. If this position sounds like the right opportunity for you, we encourage you to take the next step and connect with us. We look forward to meeting you!

#LI-NC1
#ZR
#LI-Hybrid

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10109792
Position Id: 29048
Posted 14 hours ago

Company Info

About Dahl Consulting

Since 1993, Dahl Consulting has been a leader in providing and implementing adaptive staffing and workforce solutions for its clients. DAHL specializes in workforce process management, vendor management services, as well as sourcing and staffing services. Their workforce solutions and programs ensure clients have the right people, the right process, and the right relationships, all at the right cost. DAHL s size and service offerings enable them the flexibility to provide simple and affordable solutions adaptable to any enterprise s current program, as well as future growth. Visit www.dahlconsulting.com for more information.

The mission of Dahl Consulting is to assist businesses with the creation, delivery, and support of new and existing systems to improve their level of performance through one or a combination of our service offerings. Our core competency is managing the process of procuring contract and temporary labor by finding creative ways to maximize the efficiency and effectiveness of the customer's contingent labor program.

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