Top Tech Jobs & Startup Jobs in Jacksonville, FL

The Solution Engineer will support sales in the Agriculture sector by providing technical expertise, product demonstrations, and recommendations to clients, driving revenue growth.

Build and maintain automated ETL/ELT data pipelines, improve data quality and monitoring, optimize Postgres and BigQuery schemas and queries, develop internal tooling, support data governance (HIPAA), participate in on-call rotation, and collaborate across engineering teams to scale data systems.

As a Staff Front End Engineer, you will lead the front end vision, drive architecture decisions, and mentor engineers while developing high-impact web applications in a collaborative environment.

The Participant Recruitment Partner will identify and engage top-tier participants, manage client-specific recruitment operations, and enhance the participant pool quality through data-driven insights and collaboration.

The Marketing Data Scientist will analyze data, onboard clients, develop data pipelines in R, and propose improvements to enhance efficiency.

As a Data Architect, you will define and implement data architecture solutions, collaborate with stakeholders, and design data platforms and pipelines to enhance data management and analytics capabilities.

Lead Americas paid media for a global cybersecurity company: translate global strategy into region-specific campaigns, manage seven-figure budgets, run full-funnel paid search, social and programmatic, integrate ABM, drive testing and optimization, partner with agencies and cross-functional teams, and report performance and forecasts to senior leadership.

The Senior Consultant role involves providing technical leadership and IAM solutions for federal engagements, implementing RSA technologies, and mentoring team members. Responsibilities include client interactions, project planning, quality assurance, and reporting, requiring strong communication and technical skills in IAM and related technologies.

As a Senior Systems Engineer, you'll improve AWS infrastructure, utilize infrastructure-as-code, implement observability, and ensure security in production environments.

Own and optimize high-scale AWS Aurora/MySQL multi-tenant databases (400+ schemas). Tune queries, indexes, InnoDB internals, replica/cluster behavior, ETL pipelines, observability (Datadog, performance_schema), capacity/cost, and mentor engineers. Evaluate GenAI tooling to automate diagnostics and fleet management.