Tampa, FL

Data Jobs in Tampa, FL

46 jobs found

Include remote jobs

6d ago

Lead Applied AI Engineer II

Deloitte Tampa, FL

Tampa, FL

6d ago

$113k - $232k/yr Full time Backend Developer Manager Ai Engineer

Apply Now

Job Description

The Lead Applied AI Engineer II role at Deloitte focuses on hands-on, outcome-focused engineering across multiple high-visibility initiatives. The position combines technical leadership with delivery of advanced AI and agentic solutions, including end-to-end automation from discovery through production and operations.

Responsibilities

Drive a culture of accountability for customer and business outcomes by building engineering solutions to address complex problems with measurable value, while maintaining high-quality, lean designs and implementations.
Act as a technical advocate for products by ensuring code integrity, feasibility, and alignment with business and customer goals; lead requirement analysis, low-level architecture, component design, development, testing, integrations, and support.
Own architectural and technical stack integrity against enterprise standards and strategy, including dependency management; stay hands-on with self-driven continuous learning; produce technical specifications; write scalable, supportable code; review other engineers’ work to ensure quality KPIs are met or exceeded.
Deliver lean solutions through rapid, inexpensive experimentation; work with customers and product teams before, during, and after delivery to ensure the right solution ships at the right time.
Apply an action-and-evidence mindset to navigate complexity and uncertainty, delivering solutions that remain lean, supportable, and maintainable.
Collaborate with empowered, cross-functional teams across product management, experience, and delivery; integrate diverse perspectives to balance feasibility, viability, usability, and value, and strengthen team synergy and innovation.
Use modern software engineering practices, including AI and agentic SSDLC, to enable daily product deployments with full automation across discovery to production to operations, supported by quality checks through the SSDLC lifecycle.
Quickly build domain knowledge relevant to the business or product; translate business and user needs, architectures, and UX/UI designs into technical specifications and code; support teammates while prioritizing quality and technical debt payoff.
Communicate complex technical concepts clearly and persuasively; influence teammates and product teams with evidence-based trade-offs and well-structured technical narratives that align to business objectives.
Engage with product engineering teams at all organizational levels, including customers as needed; build constructive relationships that support co-creation and shared momentum toward product goals.

Requirements

Bachelor’s degree in computer science, software engineering, data science, machine learning, or a related discipline. Experience is the most relevant factor.
6+ years of experience with most of: Angular, React, NodeJS, Python, C#, .NET, Java, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, and unit testing frameworks.
3+ years of experience building AI/ML applications, including hands-on GenAI experience with LLM integration (OpenAI, Anthropic, or open-source models), RAG pipelines, prompt engineering, and vector databases.
3+ years of experience in cloud-native engineering using FaaS, PaaS, or micro-services on Azure, AWS, or GCP, including AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI.
1+ years of experience establishing engineering standards, actively leading, mentoring, and guiding teams in adoption and continuous improvement of those standards.
Software engineering experience including familiarity with Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentation, as well as AI-augmented spec-driven development.
Experience with methodologies and tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow, and agentic AI frameworks (for example, LangFuse, LangSmith, or equivalent multi-agent orchestration tools) to deliver high-quality products rapidly.
Must be located within commutable distance to one of the select locations for this role.
Ability to work in the local office at least 3 days per week.
Limited immigration sponsorship may be available.
Ability to travel 0-10% on average, based on work, clients, and industries/sectors supported.

Technologies

Angular, React, NodeJS, Python, C#, .NET, Java
SQL/NoSQL, PyTorch, TensorFlow
LangChain, LangGraph
Unit testing frameworks
OpenAI, Anthropic
RAG pipelines, prompt engineering, vector databases
FaaS, PaaS, micro-services
Azure, AWS, GCP; Azure OpenAI, AWS Bedrock, Vertex AI
XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, MLflow
LangFuse, LangSmith

Benefits

You may be eligible to participate in a discretionary annual incentive program, subject to program rules, where any award depends on factors including individual and organizational performance.

The Team

Deloitte Technology Product Engineering modernizes software and product delivery through a scalable, cost-effective model focused on value and outcomes, using a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions for businesses, service lines, and internal operations, supporting proven bottom-line results. The team develops and deploys cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market.

Location, Salary, and Work Details

Location: Tampa, FL (onsite)
Salary: USD 113,100 - 232,300 per year
Wage range note: the disclosed range estimate is not adjusted for applicable geographic differential; a reasonable estimate is $113,100 - 232,300
Work location requirement: minimum of 3 days per week in the local office

View full job page →

9d ago

AI Engineer III

Deloitte Tampa, FL

Tampa, FL

9d ago

$122k - $241k/yr Full time Ai Engineer Ai/ml Data Engineering Artificial Intelligence

Apply Now

Job Description

Deloitte is seeking an AI Engineer III for the HC Forward team to design, build, and operate governed data and retrieval layers that power Human Capital AI products and GenAI solutions. The role supports production pipelines and services for model training, real-time inference, and LLM application delivery with a focus on governance, observability, and cost-performance discipline.

Role Responsibilities

Partner with the Lead AI Solutions Architect and AI Data Engineer to convert Human Capital product requirements into secure, scalable technical designs and delivered solutions, including APIs, services, pipelines, and containers/serverless, aligned to availability, performance, and security expectations.
Build and operationalize LLM-enabled capabilities such as copilots, HR knowledge assistants, summarization, and policy Q&A using Claude/GPT (Codex)/Gemini, including secure endpoints, tool/function calling, and reusable prompt and context patterns.
Implement LLM application patterns including RAG, document ingestion and chunking, embeddings, and vector or hybrid search, along with retrieval and evaluation telemetry.
Deliver governed datasets and feature engineering and serving for ML training and real-time inference, including online/offline consistency, caching, latency SLOs, and backfills.
Implement safety, privacy, and access controls, including PII handling, prompt-injection defenses, content filtering, and policy-based access, working with security and risk stakeholders.
Establish data and model reliability with cost-performance discipline, covering data quality, schema evolution, lineage and metadata, monitoring, right-sizing, query tuning, and LLM token and cost telemetry.
Contribute to MLOps/LLMOps and production operations, including versioning, reproducibility, CI/CD, automated testing, observability, and incident response; support design reviews, deployment readiness, and runbooks.

Required Qualifications

Bachelor’s degree in a STEM field (for example, Computer Science, Engineering, Statistics, Data Science).
4+ years building and delivering LLM and GenAI solutions using Claude/GPT (Codex)/Gemini-class models, including prompt and context design, tool or function calling, evaluation, and production integration.
4+ years implementing RAG/retrieval including document processing, embeddings, vector or hybrid search, and enterprise governance controls.
4+ years in modern data and AI engineering, including data modeling, batch and streaming pipelines, structured and unstructured processing, feature engineering and serving fundamentals, and production real-time inference services with API design and reliability patterns.
4+ years leading platform or integration engineering across enterprise systems, including experience with REST, GraphQL, event-driven architecture, microservices, and middleware.
4+ years of DevOps or DevSecOps experience, including CI/CD, infrastructure as code such as Terraform/CloudFormation, Docker/Kubernetes, and observability and monitoring.
4+ years leading security and compliance efforts, including IAM, encryption, secrets, and audit logging, plus data and privacy controls such as PII, retention, and access controls.
Ability to travel 0–25%, on average.
Limited immigration sponsorship may be available.

Technologies

Claude, GPT (Codex), Gemini
RAG, embeddings, vector search, hybrid search
APIs, LLM, GenAI
REST, GraphQL, event-driven architecture, microservices, middleware
CI/CD, Terraform, CloudFormation, Docker, Kubernetes
IAM, encryption, secrets, audit logging
PII, MLOps, LLMOps

Preferred Qualifications

Master of Science (MS) or Doctor of Philosophy (PhD) degree and/or cloud and AI/ML certifications.
4+ years of experience with Human Capital platforms and integrations, including Workday, SAP SuccessFactors, Oracle HCM, or Salesforce, and HR data domains.
4+ years of experience operationalizing LLMOps/MLOps capabilities, including evaluation, monitoring, governance workflows, and model or prompt or version management.
4+ years of cloud experience on one or more of AWS, Microsoft Azure, or Google Cloud Platform (GCP), including managed data platforms and scalable compute patterns.
4+ years of experience translating business needs into requirements, acceptance criteria, and shippable increments using structured problem solving.
4+ years of experience explaining AI/GenAI trade-offs involving quality, latency, cost, and risk, and documenting decisions.
4+ years of experience collaborating across product, data science/ML, data engineering, platform, and security.
4+ years of experience performing threat testing, monitoring, and operational-readiness activities.
4+ years of experience identifying consent, PII, and bias boundaries and escalating appropriately, including experience supporting SOC 2, GDPR, or HIPAA requirements.

Team Overview

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Compensation and Location

Location: Tampa, FL (onsite)
Salary: USD 122,000 - 240,500 per yearly
Wage range estimate: A reasonable estimate of the current range is $122,000 to $240,500.

Benefits

Discretionary annual incentive program (subject to program rules, where any award depends on various factors including individual and organizational performance).

View full job page →

11d ago

Data Analyst, Assistant Vice President

Citi Tampa, FL

Tampa, FL

11d ago

$87k - $131k/yr Full time Analytics Assistant Vice President Business Analytics

Apply Now

Job Description

As an Assistant Vice President in a business and data senior analyst capacity, you will support credit risk exposure measurement for derivatives and securities. The role emphasizes accurate exposure calculations, data quality improvements, and proactive controls to detect and resolve potential issues.

Key Responsibilities

Proactively identify and address potential issues within credit risk exposure calculations, with a particular focus on Factor Sensitivities.
Conduct comprehensive variance analysis across key risk products, portfolios, and business data.
Build and maintain reasonability checks for important risk and finance attributes and calculations.
Partner with stakeholders to determine the data elements required for effective risk processes.
Develop and implement tools, systems, and procedures that enable early detection and resolution of potential issues.
Continuously seek opportunities for process simplification, automation, and proactive issue mitigation.
Work with a high degree of independence while managing multiple tasks and shifting priorities.
Apply a risk approach that accounts for business decisions, including consideration for the firm’s reputation and protection of Citigroup, its clients, and assets through compliance with applicable laws, rules, and regulations, adherence to policy, sound ethical judgment in personal conduct and business practices, and escalation, management, and transparent reporting of control issues.

Required Qualifications

5+ years of banking experience with a strong foundation in Credit Risk measurements and Exposure calculations.
Essential understanding of Over-The-Counter Traded Derivatives (OTC), Securities Finance Transactions (SFT), Exchange Traded Derivatives (ETDs), and Fixed Income products.
Strong data analysis skills with exceptional attention to detail.
Competency in Tableau, SQL, and Python is highly desirable.
Excellent people skills and a client-focused approach for effective interaction with business partners, technology teams, and management.
Proven ability to manage multiple tasks with competing demands and timelines, along with a strong willingness to learn and adapt to new challenges.
Bachelor’s/University degree or equivalent experience.

Technologies

Tableau
SQL
Python

Compensation and Location

Location: Tampa, FL (onsite)
Salary range: USD 87,280 - 130,920 per year

Benefits

Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Discretionary and formulaic incentive and retention awards (for eligible employees)

Role Details

Job family group: Decision Management
Job family: Business Analysis
Time type: Full time
Anticipated posting close date: Oct 23, 2026

View full job page →

11d ago

Sales Data Analyst 2

Onto Innovation Tampa, FL

Tampa, FL

11d ago

$60k - $90k/yr Full time Data Analysis Data Analytics Sales

Apply Now

Job Description

Onto Innovation is hiring an early-career Sales Data Analyst 2 to support the development of sales opportunities for its semiconductor metrology products. In this Tampa, FL onsite role, you will coordinate customer requirements, technical and commercial inputs, product demonstrations, and the opportunity-to-order workflow.

You will work closely across technical and commercial teams to translate customer needs into actionable information, maintain opportunity records in CRM, and support sales execution from initial discovery through quotation and order documentation.

What you will do

Partner with product specialists and applications engineers to build working knowledge of proprietary technologies, product capabilities, and customer benefits.
Gather and prepare technical information, product data, and supporting materials to address customer questions and requirements.
Coordinate with regional sales teams and customer contacts to understand technical requirements, business objectives, constraints, and purchasing criteria.
Identify and develop sales prospects across semiconductor manufacturing, research, and related technology markets.
Create and present customer-specific materials, with guidance from regional sales, product specialists, or applications engineers, explaining both technical and commercial value.
Support customer meetings by preparing call notes, documenting action items, and following up with internal and external stakeholders.
Assist with customer visits to Onto Innovation facilities and periodic travel to customer sites.
Track sales opportunities, customer activities, and follow-up actions in the company CRM system.
Prepare or coordinate quotations and ensure the technical and commercial information needed throughout the sales cycle is available.
Review customer specification documents and coordinate responses with relevant internal experts including product specialists, applications engineers, and service personnel.
Support sales leadership with opportunity updates, forecast inputs, and the status of potential orders.
Help maintain accurate and complete order documentation to support clean order booking and timely execution.
Coordinate customer sample demonstrations and measurements, including sample organization, test requirements, schedules, data collection, and internal review.
Present demonstration results to prospective customers with support from product specialists or applications engineers, and follow up on questions and requested data.
Provide regular updates to sales leadership and product management on opportunity status, customer feedback, competitor activity, and market conditions.
Communicate recurring customer needs and potential product improvements to the appropriate internal teams.
Collaborate cross-functionally with sales, applications, service, operations, finance, and factory teams to resolve open issues and support customer commitments.
Contribute to team projects and assignments directed by management, while following requirements related to confidentiality, ethical business practices, safety, and information protection.
Travel periodically to customer sites, company locations, industry conferences, and trade shows; domestic and occasional international travel may be required based on business and customer needs.

Required qualifications

Bachelor’s degree in Physics, Electronics, Electrical Engineering, Materials Science, or a related technical field.
Approximately 1 to 3 years of experience in technical sales, applications engineering, customer support, account coordination, or another customer-facing role involving technical products; relevant internships, co-op assignments, or industry experience may be considered.
Strong verbal and written communication skills, including the ability to explain technical information clearly and professionally.
Ability to understand customer requirements, analyze problems, coordinate with internal resources, and follow through on action items.
Strong organizational skills and attention to detail, including managing multiple priorities within tight timelines.
Self-motivated, collaborative, customer-focused approach with willingness to develop both technical and commercial skills.
Proficiency with CRM systems and standard business tools, including Microsoft Excel, PowerPoint, Outlook, and SharePoint.
Ability and willingness to travel domestically and occasionally internationally based on customer and business needs.

Technologies

CRM systems
Microsoft Excel
Microsoft PowerPoint
Outlook
SharePoint

Compensation and benefits

Salary range: USD 60,000 - 90,000 per year
Competitive salaries and comprehensive benefits package
Health, dental, and vision coverage
Life and disability insurance
PTO
401(k) with employer match
Employee Stock Purchase Program (ESPP)
Wellness initiatives
Annual bonus opportunities
Potential long-term incentives tied to both company and individual success

Preferred background

Experience or coursework related to semiconductor manufacturing, metrology, inspection, electronics, materials science, or capital equipment.
Experience preparing technical presentations, supporting product demonstrations, or working directly with customers.
Familiarity with sales processes, quotations, customer specifications, and CRM opportunity tracking.
Graduate-level coursework or an advanced degree in a relevant technical field is a plus.

Working conditions

Full-time role with regular customer-facing and cross-functional responsibilities.
Work may occur in office, manufacturing-floor, customer-site, conference, or trade-show environments.
Travel frequency varies based on active opportunities, customer demonstrations, training requirements, and business priorities.

Export compliance note: For certain positions requiring access to technical data, a U.S. export licensing review may be necessary for applicants who are not U.S. Citizens, Permanent Residents, or other protected persons under 8 U.S.C. 1324b(a)(3).

View full job page →

12d ago

Data Engineer

Symple Lending Tampa, FL

Tampa, FL

12d ago

Full time 3d Design Tools Automation AWS

Apply Now

Job Description

Hybrid Data Engineer role in Tampa, Florida focused on maintaining production cloud infrastructure and reliable data pipelines.

Responsibilities

Maintain and optimize production data pipelines using AWS tools such as S3, Redshift, ECS, and SFTP integrations
Build, test, and maintain dbt models for dependable and efficient data transformations
Monitor pipeline performance, data accuracy, and overall system health; troubleshoot and resolve production issues
Support security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching
Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes
Use AI-assisted development tools including Claude and Cursor to streamline engineering workflows
Create and maintain technical documentation, operational procedures, and communicate system updates across teams
Partner with the Senior Data Engineer on infrastructure improvements and scalable data solutions

Requirements

3–5 years of professional experience in data engineering or a related technical role
Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
Proficiency in Python for data pipelines, scripting, and automation
Hands-on experience with AWS services including S3, IAM, ECS, or Lambda
Production experience with dbt and data transformation workflows
Experience using Git, pull requests, and collaborative code review practices
Knowledge of security best practices, system monitoring, dependency management, and vulnerability remediation
Familiarity with AI-assisted development tools and interest in applying AI in day-to-day workflows
Strong problem-solving, communication, and collaboration skills

Technologies

AWS, S3, Redshift, ECS, SFTP, dbt, Git, CI/CD, Claude, Cursor, SQL, Snowflake, BigQuery, Python, IAM, Lambda
Docker, ECS/Fargate, Terraform, CloudFormation
EventBridge, SQS
Dependabot, Snyk, AWS Inspector
Amazon SageMaker, machine learning pipelines

Benefits

Competitive salary
Comprehensive health, dental, and vision insurance
Direct mentorship from an experienced Senior Data Engineer
Opportunity to take ownership of production systems and make a meaningful impact
Hands-on exposure to modern AWS cloud infrastructure and AI-driven engineering tools
Positive and collaborative work culture
Paid time off
Professional growth and development opportunities
Employee referral bonus program

Bonus Points

Experience with Docker, ECS/Fargate, Terraform, or CloudFormation
Familiarity with AWS EventBridge, SQS, or other event-driven architectures
Experience with security tools such as Dependabot, Snyk, or AWS Inspector
Background in financial services, lending, or another regulated industry
Exposure to machine learning pipelines or Amazon SageMaker

Location: Tampa, FL (hybrid)

View full job page →

12d ago

Supply Chain Optimization Data Scientist Senior Consultant

Deloitte Tampa, FL

Tampa, FL

12d ago

$116k - $229k/yr Full time Business Analytics Data Analysis Data Analytics

Apply Now

Job Description

Deloitte helps clients turn value-chain complexity into measurable competitive advantage. In this Senior Consultant role within the US Supply Chain & Network Operations Offering, you will apply operational expertise alongside digital technologies and advanced analytics to deliver transformational solutions for supply chain planning and operations.

As a Supply Chain Optimization Data Scientist, you will work with stakeholders to translate decision needs into optimization, simulation, forecasting, and related analytical models. Your output helps teams evaluate scenarios and trade-offs while quantifying impacts across service, cost, capacity, working capital, lead time, and resilience. The role is based in Tampa, FL (onsite) with an estimated wage range of $116,200 to $229,100 per year.

What you’ll do

Define decision objectives, constraints, business rules, and performance measures in partnership with client stakeholders.
Design, implement, and validate optimization, simulation, forecasting, scheduling, inventory, and network-design models.
Build and integrate analytical solutions using Python, SQL, data pipelines, and enterprise systems.
Evaluate scenarios and trade-offs to quantify operational outcomes across service, cost, capacity, working capital, lead time, and resilience.
Support solution testing, deployment, user adoption, and communicate analytical findings to drive decision-making.

What you’ll need

3+ years of experience delivering analytical or technology solutions from concept through production deployment.
Experience developing optimization, simulation, forecasting, scheduling, inventory, or network-design models.
Hands-on experience with Python and SQL for data preparation, validation, and modeling.
Ability to translate supply chain planning or execution processes into functional or technical requirements.
Experience integrating models or data through ETL, ELT, or APIs.
At least 1 Cloud platform certification such as Google Cloud Platform, Microsoft Azure, or AWS.
Ability to travel 50%, on average, based on work, clients, and industries served.
Must be legally authorized to work in the United States without employer sponsorship, now or in the future.

Tech stack you’ll work with

Python, SQL
Data pipelines, enterprise systems
ETL, ELT, APIs
Google Cloud Platform, Microsoft Azure, AWS

Helpful background

Master’s degree in operations research, supply chain, computer science, or applied mathematics.
2+ years of experience with supply chain planning, decision intelligence, control towers, digital twins, or optimization platforms.
Experience deploying analytical solutions in cloud or enterprise environments and integrating with planning, warehouse, transportation, manufacturing, or supplier-management systems.

View full job page →

13d ago

Research Data Analyst II Bioinformatics

Moffitt Cancer Center Tampa, FL

Tampa, FL

13d ago

$73k - $112k/yr Full time Artificial Intelligence Clinical Data Analytics Data Analysis

Apply Now

Job Description

The Research Data Analyst II position supports research initiatives at Moffitt Cancer Center in Tampa, FL by building and validating research databases, preparing data for predictive modeling, and performing analyses that uphold data integrity. The role also provides analytics support for predictive risk and diagnostic modeling and collaborates on extracting study-relevant information from medical records.

Location and Employment Details

Location: Tampa, FL (onsite)
Employment: Full-time
Experience level: 2 years minimum

Salary

Annual base pay range: USD 73,424 - 111,883
Compensation note: Salary ranges represent the expected base pay range. Actual compensation may vary based on location and job-related factors, including experience, skills, education, and internal equity among team members in similar positions.
Pay practices: Moffitt Cancer Center maintains fair and equitable pay practices and regularly reviews compensation to align across the workforce.

Key Responsibilities

Assist with database construction by searching PACS, downloading images, and performing quality assurance checks.
Support data analytics and contribute to predictive risk and diagnostic modeling, including work using neural networks, deep learning, logistic regression, and large language models.
Collaborate with study coordinators to extract and distill relevant information from medical records.
Provide support across study objectives to ensure continuity and depth in data handling and analysis.

Required Qualifications

Solid understanding of engineering and physics concepts.
Proficiency in computer coding.
Programming experience in R, Python, SAS, or another statistical software package under supervision of the PI.
Experience with high-performance computing and the Unix environment.

Preferred Experience

Familiarity with high-dimensional data wrangling and analysis techniques, including machine learning, image processing, and high-dimensional data visualization.