Fort Lauderdale, FL

Data Jobs in Fort Lauderdale, FL

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Today

Data Engineer, AI & Automation

Sound Income Group LLC Fort Lauderdale, FL

Fort Lauderdale, FL

Today

Full time AI Ai Agent Platform Analytics

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Job Description

Sound Income Strategies is hiring a Data Engineer, AI & Automation to modernize operational data infrastructure, reporting, and business workflows as a hands-on owner within the team.

Responsibilities

Develop and maintain backend data pipelines, integrations, and data models in Snowflake to deliver operational data that is accurate and accessible.
Work within the existing data aggregation architecture, integrating and reconciling information from custodians and platforms including Schwab, Orion, and Black Diamond, plus supplemental sources.
Analyze source data, investigate discrepancies, and implement validation, reconciliation, and quality checks for complete, accurate reporting and downstream applications.
Translate complex datasets into business-ready outputs and collaborate with internal stakeholders and front-end contributors to validate dashboards, reports, and application functionality.
Meet directly with Operations and other SIS teams to understand manual processes, define requirements, and prioritize improvements with the CTO.
Build and deploy backend services, internal tools, and automations to improve operational efficiency and reduce repetitive manual work.
Develop and deploy production AI functionality using Anthropic Claude, including document retrieval, text extraction, document understanding, and multi-step workflows.
Implement and maintain Model Context Protocol (MCP) integrations to connect AI applications to approved tools and data sources, including appropriate permissions and human review.
Use managed model platforms such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or comparable services to support practical business applications.
Own solutions end-to-end, from requirements and design through testing, deployment, documentation, user adoption, and ongoing support.
Monitor data pipelines and AI workflows; troubleshoot failures, evaluate output accuracy, and improve reliability, performance, and operating costs.
Implement access controls, logging, and safeguards for sensitive client and financial data in collaboration with the CTO and Compliance.
Participate in vendor and platform implementation meetings, learn existing systems, and coordinate technical dependencies across internal teams and external partners.
Maintain clear technical documentation and user guidance, and communicate priorities, progress, risks, and results to technical and nontechnical stakeholders.

Requirements

Bachelor’s degree or higher in Computer Science or a related technical discipline.
3+ years of software engineering experience in backend, data-intensive, or workflow automation systems, with demonstrated ability to independently build, deploy, and maintain production solutions.
Strong hands-on proficiency with Snowflake, SQL, and a backend programming language such as Python, including experience with data modeling, APIs, and data pipelines.
Hands-on experience integrating Claude into production business applications, including document retrieval, text extraction, and document understanding.
Practical experience implementing MCP integrations and working with a managed model platform such as Snowflake Cortex, Amazon Bedrock, Google Vertex AI, or a comparable service.
Demonstrated ownership of production LLM-powered functionality or agentic workflows, including output evaluation, failure handling, cost management, and appropriate human review.
Experience handling sensitive data in a regulated or high-trust environment, with strong analytical, troubleshooting, and data quality skills.
Track record of translating operational needs into practical, maintainable tools, with strong communication, documentation, collaboration, and prioritization skills.

Technologies

Snowflake, SQL, Python
Anthropic Claude
Model Context Protocol (MCP)
Snowflake Cortex, Amazon Bedrock, Google Vertex AI
Schwab, Orion, Black Diamond

Location & Hours

Fort Lauderdale, FL (On-site)
Full-time
Fort Lauderdale HQ | On-site, full-time; not considering remote candidates

Benefits

100% employer-covered medical benefits and HRA account
Dental & vision plans
PTO + 10 NYSE company holidays per year
401K with company match program
Free onsite parking
Company-provided laptop and required technology
Access to an on-site gym (free of charge)
Weekly car wash (at an additional cost)

Physical & Work Environment Requirements

Ability to work for extended periods at a desk using a computer
Ability to lift up to 10 pounds if/when necessary

FLSA classification: Exempt

Department: Sound Income Strategies

Preferred Qualifications

Experience in financial services preferred but not required
Familiarity with RIA operations, custodian data, trading systems, or portfolio reporting platforms
Experience with cloud-based data aggregation platforms and vendor-supported application environments
Ability to contribute across the application stack when a business solution requires it

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2mo ago

Senior Data Scientist, Hockey Operations

The Florida Panthers Fort Lauderdale, FL

Fort Lauderdale, FL

2mo ago Closed

Full time Senior Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 15, 2026).

Job Description

The Florida Panthers offer a role for a Senior Data Scientist on the Hockey Operations – Research & Development team in Fort Lauderdale, FL, on site. You will build and deploy models, metrics, and tools to inform decision-making and communicate insights to stakeholders at all levels. This position reports to the Director of Research and Development and contributes to data-driven competitive decision-making.

Benefits

Onsite opportunity in Fort Lauderdale with a data‑driven, collaborative hockey operations culture
Chance to build, deploy, and refine analytical tools, metrics, and models that directly inform decision‑making
Develop and present visualizations and reports that convey key ideas to both technical and non‑technical audiences
Engage with coaches, scouts, and Hockey Operations leadership to discuss projects, priorities, and deliverables
Mentor and support the professional development of junior analysts through feedback and guidance
Collaborate with analysts and engineers to deliver production‑ready data products in a timely manner
Join a learning culture that emphasizes curiosity and ongoing advancement in hockey analytics research

Responsibilities

Build, maintain, and enhance analytical tools, metrics, and models to support Hockey Operations initiatives and decision‑making
Create data visualizations and reports that communicate key findings and recommendations in an accessible way for both technical and non‑technical audiences
Represent R&D in discussions about new projects, priorities, and analytical deliverables with coaches, scouts, and Hockey Operations decision‑makers
Mentor junior analysts, provide feedback, conduct code reviews, and offer guidance as needed
Collaborate with analysts and engineers to ensure production‑ready data products are available to decision‑makers in a timely manner
Continuously evolve the organization’s analytical capabilities and practices to stay at the cutting edge of hockey analytics research

Requirements

Bachelor’s degree in a related technical field required; advanced degree preferred
Minimum 3–5 years of professional experience in an analytical role, ideally within sports or a data‑intensive industry
Prior experience in hockey analytics, sports R&D, or with NHL data sources preferred
Expertise in production‑grade predictive modeling, machine learning, and statistical methods
Working knowledge of cloud computing, storage, and data warehousing platforms
Strong proficiency in SQL and Python for analytical modeling, data manipulation, and pipeline development
Knowledge of hockey analytics, NHL data sources, and modern hockey evaluation concepts; familiarity with multipoint skeletal tracking or spatiotemporal sports data is a plus
Strong communication skills able to deliver findings clearly to Hockey Operations staff
Creative mindset, intellectual curiosity, and a desire to operate in a learning culture

Technologies

SQL
Python

Organization Overview

The Florida Panthers enter their 33rd season in 2026-27 as a premier NHL franchise. Following back‑to‑back Stanley Cup championships in 2024 and 2025, the team has a track record of postseason success. The Panthers operate four facilities in Broward County, Florida, and are led by President of Hockey Operations & General Manager Bill Zito and President of Business Operations Michael White. The organization emphasizes community engagement through programs like Heroes Among Us, which honors veterans at every game, and a Foundation focused on veterans’ affairs and children’s health and education, reflecting a culture of service and learning.

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Data Jobs in Fort Lauderdale, FL

Data Engineer, AI & Automation

Senior Data Scientist, Hockey Operations

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