Jacksonville, FL

Data Jobs in Jacksonville, FL

14 jobs found

Include remote jobs

2d ago

Data Engineer, AI Governance

FIS Global Jacksonville, FL

Jacksonville, FL

2d ago

Full time Artificial Intelligence Data Engineer Data Governance

Apply Now

Job Description

Join an onsite team in Jacksonville to help build governed, trustworthy data foundations that enable responsible AI.

Responsibilities

Design, develop, and maintain scalable backend data pipelines, integrations, and data platforms for AI governance and analytics use cases.
Consolidate and transform data from multiple enterprise sources into trusted, governed datasets for AI and business consumption.
Establish and maintain end-to-end data lineage to provide visibility into data origins, transformations, and downstream consumption.
Work with business, technology, and governance stakeholders to define data ownership, stewardship, and accountability models.
Implement data quality controls, monitoring frameworks, and observability practices to proactively identify and resolve data issues.
Create and maintain metadata management processes that improve discoverability, traceability, and governance compliance.
Support data access governance by helping define, automate, and monitor access controls and permissions.
Build and maintain data validation, reconciliation, and audit capabilities to strengthen trust in enterprise data assets.
Partner with AI, machine learning, and analytics teams to ensure governed data is available for model development and operational workflows.
Identify and implement automation opportunities to improve data reliability, efficiency, and operational excellence.

Requirements

Experience as a Data Engineer, Data Platform Engineer, Data Integration Engineer, or similar role in large-scale data environments.
Strong experience building and supporting backend data pipelines using modern data engineering practices.
Experience with data integration, transformation, cleansing, and consolidation across multiple data sources.
Solid understanding of data governance, data quality, metadata management, and data lifecycle management.
Experience establishing and documenting data lineage, data flows, and data dependencies.
Proficiency with SQL and data modeling concepts in enterprise data environments.
Experience with cloud-based data platforms, data warehouses, and data lake architectures.
Knowledge of data security, access management, and governance principles.
Strong analytical, troubleshooting, and problem-solving skills with exceptional attention to detail.
Passion for delivering high-quality, trusted, and well-governed data products.

Preferred Qualifications

Experience supporting AI, machine learning, or responsible AI governance programs.
Familiarity with data catalog, metadata management, data lineage, or data observability platforms.
Experience implementing enterprise data quality and monitoring frameworks.
Experience in financial services, fintech, payments, banking, or other highly regulated industries.

Benefits

Internal career growth opportunities
Opportunities to innovate in fintech
Inclusive and diverse team atmosphere
Professional and personal development
Resources to contribute to your community

Additional Details

Location: Jacksonville, FL (onsite)
Type of hire: Experienced (relevant combo of work and education)
Position type: Full time

View full job page →

3d ago

Lead Data Engineer

Genpact LLC Jacksonville, FL

Jacksonville, FL

3d ago

$60k - $75k/yr Full time Manager Adobe Analytics Analytics

Apply Now

Job Description

Genpact is hiring a Lead Data Engineer to support analytics and problem solving for DVIC analytics activities in an onsite role in Jacksonville, FL. This position focuses on Adobe Analytics enablement, recurring executive reporting, stakeholder communication, and day-to-day operational ownership with minimal oversight. The role emphasizes independent execution, organized delivery, and clear visibility into progress, risks, and next steps.

Role focus

Analytics and problem solving to investigate complex business questions, identify trends and opportunities, and turn data into actionable insights and recommendations.
Adobe Analytics support across web and mobile app platforms, including implementation and tagging support, requirements development, data validation and quality monitoring, troubleshooting, and performance analysis.
Executive reporting through recurring reporting and presentations that clearly communicate performance, key insights, business implications, and recommended actions.
Operational ownership for day-to-day DVIC analytics priorities, deliverables, and ongoing updates to leadership on progress, risks, upcoming milestones, and next steps.
Independent execution with strong organization and attention to detail, translating broad objectives into structured plans and independently delivering high-quality outcomes.

Key responsibilities

Apply strong analytical and critical-thinking skills to translate complex questions into insights and recommendations.
Provide hands-on expertise in Adobe Analytics implementation and tagging across web and mobile app environments.
Develop recurring executive-level reporting and presentations focused on performance, insights, implications, and actions.
Communicate effectively in both verbal and written forms, simplifying complex concepts for technical and business leaders.
Proactively manage DVIC analytics activities, deliverables, and priorities while maintaining consistent leadership visibility.
Operate as a detail-oriented self-starter capable of planning, taking initiative, and delivering with minimal oversight.

Required education

Masters - Data Science
Bachelors - Business Analytics
Bachelors - Computer Science
Bachelors - Statistics

Required certifications and experience signals

Certified Data Management Professional - RiversandRiversand
Databricks Certified Associate Developer for Apache Spark 3.0 - Databricks Academy
Databricks Certified Associate Developer for Apache Spark - Databricks Academy
Microsoft Certified: Azure Data Engineer Associate - Microsoft
Oracle Database 12c Certified Implementation Specialist - Oracle
Agile Methodology
Client Relations
Banking Capital Markets
Commercial Sales
Consumer Packaged Goods (CPG)
Risk Management
Semiconductors
Inclusion
People Leadership
Electronic Hardware
Manufacturing Equipment
English (Proficient - C2)

Technologies

Adobe Analytics
Databricks Platform
Apache Spark
Snowflake (Platform)
Microsoft Azure
Oracle Database 12c

Compensation and location

Location: Jacksonville, FL (onsite)
Salary: USD 60,000 - 75,000 per yearly

Why join Genpact

Lead AI-powered transformation by driving innovation and solving real-world business challenges.
Make an impact helping global enterprises address business challenges that matter.
Accelerate your career with hands-on experience, mentorship, and learning opportunities.
Work with the best alongside 140,000+ bold thinkers and problem-solvers.
Thrive in a values-driven culture built on integrity and inclusion, supporting ideas that fuel progress.

View full job page →

9d ago

Senior Data Engineer

SoFi Jacksonville, FL

Jacksonville, FL

9d ago

Full time Senior Analytics Business Analytics

Apply Now

Job Description

SoFi’s Fraud Prevention Center of Excellence (CoE) is hiring a Senior Data Engineer to build and scale data infrastructure for Fraud Operations Analytics in Jacksonville, FL.

Responsibilities

Design, build, and maintain scalable data pipelines that consolidate fraud operational data from multiple source systems into governed Snowflake data marts
Collaborate with Fraud Data Engineering and the TDM platform team on the foundational Fraud CoE data buildout
Develop summarized metric tables that standardize reporting across fraud product lines
Model analytical data in Snowflake to support fraud operations reporting, agent performance scorecards, and fraud tagging quality monitoring
Build and maintain dbt models to structure data for analyst consumption and Tableau reporting layers
Ensure query performance, data freshness, and reliability across fraud data mart tables supporting production dashboards and leadership reports
Partner with fraud analysts to understand data requirements and translate them into reusable data structures
Develop and maintain summarized metric tables that centralize and preserve reporting logic consistency
Define and enforce data engineering standards, documentation practices, and pipeline design patterns for the Fraud CoE
Ensure data assets are properly documented, tested, and governed to support audit and compliance requirements
Act as a data engineering subject matter expert in cross-functional discussions with Fraud Strategy, Fraud Platform, Risk Infrastructure, and Data Engineering partners

Requirements

4+ years of data engineering experience with hands-on expertise in SQL, Python, and cloud data warehouse platforms
Experience building and maintaining production-grade data pipelines using modern data stack tools such as dbt, Airflow, or equivalent
Strong data modeling skills, including designing analytical data structures optimized for reporting and self-service consumption
Ability to work with analytics and business stakeholders to translate requirements into scalable data solutions
Strong documentation habits, with commitment to data quality, testing, and pipeline reliability
Exposure to dbt Cloud and Airflow/MWAA or similar orchestration platforms

Preferred

Experience in financial services, fraud, risk, or compliance data environments
Familiarity with fraud operations data concepts such as fraud tagging, loss attribution, dispute workflows, agent performance metrics, or alert queue management

Tech Stack

SQL, Python, Snowflake
dbt, Airflow
Tableau
dbt Cloud, MWAA

Location

Jacksonville, FL (onsite)

Benefits

To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page!

Compensation

The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location.

View full job page →

15d ago

Data Engineer II

Deloitte Jacksonville, FL

Jacksonville, FL

15d ago

$91k - $180k/yr Full time Analytics Artificial Intelligence Big Data

Apply Now

Job Description

Make data foundations practical for AI and workforce analytics as part of Deloitte’s Human Capital practice. This onsite role in Jacksonville, FL focuses on designing and operationalizing modern data architecture and engineering delivery, so clients can turn complex workforce and human capital data into trusted, secure, scalable solutions for AI/ML/GenAI use cases.

What you’ll build and deliver

Lead the design, development, and delivery of analytics solutions addressing complex workforce and human capital challenges across industries.
Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization tools).
Translate ambiguous business problems into structured analytical approaches, clearly communicating findings and recommendations to technical and non-technical stakeholders.
Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
Design, build, and implement reusable analytics products and assets that meet client needs and extend Human Capital service offerings.
Support business development activities including proposals, client presentations, and thought leadership content.

AI-enabled data foundations and end-to-end ownership

Enable AI, ML, and GenAI solutions by supporting data architecture and engineering delivery from ingestion through consumption.
Operationalize modern data and retrieval foundations for LLM-powered applications, including RAG, embeddings, vector search, and governed access to structured and unstructured data.
Work with Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning outcomes from data modeling to stakeholder presentations.
Collaborate with data science, ML engineering, and product stakeholders in a blended onshore/offshore delivery team to move use cases into production-ready pipelines and platforms with strong data governance, lineage, quality controls, and monitoring.

Required skills

Ability to work independently and collaborate as part of a team.
Effective written and verbal communication skills.
Meticulous attention to detail and quality of work product.
Ability to build and sustain professional relationships.
Ability to lead projects or workstreams.
Ability to manage and prioritize multiple tasks in a fast-paced environment.
Strong interpersonal skills and professional demeanor.
Ability to meet deadlines.
Ability to provide clear guidance to others.
Bachelor’s degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science).
2+ years of experience in data science, data engineering, or analytics.
2+ years of modern data and AI engineering, including data modeling, batch/streaming pipelines, structured/unstructured processing, and feature engineering/serving fundamentals.
1+ years of experience with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
2+ years of experience using Python or R for statistical modeling and data wrangling, including proficiency in Databricks or Snowflake.
Ability to travel 0–25%, on average.
Must be legally authorized to work in the United States without employer sponsorship.

Technologies you’ll use

SQL, Tableau, Python, R, Databricks, Snowflake
RAG, embeddings, vector search

Team focus

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.

Preferred qualifications

Advanced degree, including an MS or PhD, and/or relevant certifications.
Direct experience in client-facing or consulting environments, with Human Capital platforms and integrations (e.g., Workday, SAP SuccessFactors, Oracle HCM, Salesforce) or in HR data domains.
Experience operationalizing LLMOps and MLOps capabilities, including evaluation, monitoring, governance workflows, and model/prompt/version management.
Cloud experience on AWS, Azure, or GCP, including managed data platforms and scalable compute patterns.
Experience explaining complex data and technology concepts, documenting decisions, and collaborating across product, data science/ML, data engineering, platform, and security teams.
Experience building repeatable analytics product capabilities (not only one-off deliverables), with ethics and privacy practices, including consent, PII handling, and bias boundary awareness.

Compensation

The estimated wage range for this role is $91,100 to $179,500 per year. You may also be eligible for a discretionary annual incentive program, subject to program rules and based on individual and organizational performance.

View full job page →

17d ago

Healthcare Data Analyst

Community Hospice and Palliative Care Jacksonville, FL

Jacksonville, FL

17d ago

$90k+/yr Full time Analytics Business Analytics Business Intelligence

Apply Now

Job Description

At Community Hospice and Palliative Care, the Healthcare Data Analyst, Quality and Compliance supports mission-critical analytics that strengthen performance, quality measurement, and regulatory readiness. In this onsite role in Jacksonville, you will turn clinical, quality, operational, and compliance data into actionable insights used by quality and compliance leadership, QAPI, and survey readiness activities.

Role focus

The role reports to the Chief Compliance and Quality Officer and acts as the primary analytics resource for QAPI, compliance monitoring, regulatory reporting, and survey readiness. You will build repeatable measurement, automate reporting workflows, and support executive-level communication of quality and compliance performance.

Responsibilities

Partner with clinical and compliance leaders to define, calculate, and maintain certified quality and compliance KPIs, including documented definitions, data sources, and calculation logic in the enterprise KPI registry.
Monitor quality indicators, clinical outcomes, and performance trends across hospice, home health, palliative care, and PACE; identify variation by team, setting, and market, and explain root causes.
Analyze CAHPS data, including response trends, patient feedback themes, and demographic patterns, and support quality improvement initiatives through detailed reporting.
Work with BI Engineers and technical partners to build and maintain automated quality dashboards and scorecards, reducing manual data pulls and static spreadsheets.
Conduct conversion validation and reconciliation testing for Databricks platform and EMR transitions; document defects and confirm converted data matches source systems and certified definitions.
Provide baseline data, statistical process control, and results tracking for PIPs and QAPI performance improvement projects.
Develop predictive and early-warning analytics with clinical leaders, such as live discharge risk, length-of-stay outliers, and CAHPS decline.
Use approved AI tools (example: Claude, Microsoft Copilot, Databricks Genie) to speed analysis, comment coding, documentation, and report drafting, while verifying all AI output against source data before use.
Follow Alivia Care AI governance, HIPAA, and data privacy standards; use only approved tools with protected health information, and submit new AI use cases for governance review.
Identify manual quality and compliance processes that can be automated or AI-assisted, partnering with operations, technology, and analytics teams to prioritize and implement solutions.
Provide data and analysis for survey readiness, accreditation reviews, and compliance audits as requested by the Chief Compliance Officer.
Prepare and present executive, committee, and Board-level reports translating quality and compliance data into actionable information.
Develop executive-level dashboards, scorecards, and analytical summaries for strategic decision-making, regulatory readiness, and performance improvement.
Serve as a data resource for quality committees, the Hospice Experience Committee, and interdisciplinary meetings.
Train clinical and quality staff to read dashboards and apply data to improvement work.
Other duties as assigned.

Requirements

Bachelor’s degree in health informatics, healthcare administration, statistics, data analytics, nursing, public health, or related field (required).
3 to 5 years of healthcare data analysis experience, including quality measurement or clinical outcomes reporting.
Hospice or home health experience strongly preferred, including HOPE, CAHPS Hospice, or OASIS.
Demonstrated experience writing SQL and building dashboards in Power BI or a comparable BI tool.
Certification such as CPHQ, CHDA, Microsoft Power BI Data Analyst, or Databricks (preferred).
Proficiency in SQL and advanced Excel, including Power Query and pivot tables.
Proficiency in Power BI (or comparable BI tool), including data modeling and basic DAX.
Working knowledge of Python or R (preferred).
Familiarity with cloud data platforms such as Databricks.
Knowledge of data quality practices: validation, reconciliation, data lineage, and documentation.
Applied statistics including rates, basic risk adjustment, significance testing, and statistical process control.
Understands generative AI and predictive model limits, including inaccurate output and bias; writes effective prompts and verifies AI output against source data.
Knowledge of responsible AI use in healthcare, including HIPAA, protected health information handling, and Alivia Care AI governance policy.
Knowledge of CMS hospice and home health quality programs and survey and accreditation standards.
Experience with external platforms such as HealthPivots, NPHI, Care Compare, iQIES, and RAND.
Ability to translate clinical and operational data into clear findings and recommendations for executives.
Detail oriented with excellent written and verbal communication skills.

Technologies

SQL, Excel, Power Query, Power BI, DAX, Python, R
Databricks, Claude, Microsoft Copilot, Databricks Genie
EMR, HealthPivots, NPHI, Care Compare, iQIES, RAND
CMS quality programs, CAHPS, HOPE, OASIS, PACE

Benefits

Compensation of $90,000+ per year commensurate with experience.
Full benefits package including 23 days annual PTO.

Position details

Location: Jacksonville, FL (onsite) at Alivia Care/Community Hospice and Palliative Care non-profit headquarters, 4266 Sunbeam Road, Jacksonville FL.
Work arrangement: No work from home at this time.
Schedule: Monday to Friday, 8:00am to 5:00pm.
Compensation: $90,000+ commensurate with experience, plus full benefits package including 23 days annual PTO.

AI and governance expectations

Understands generative AI and predictive model limitations and common failure modes such as inaccurate output and bias.
Writes effective prompts and verifies AI output against source data before sharing results.
Understands responsible AI use in healthcare, including HIPAA, protected health information handling, and Alivia Care AI governance policy.

View full job page →

18d ago

Artificial Intelligence / Machine Learning Engineer

FIS Global Jacksonville, FL

Jacksonville, FL

18d ago

Full time Agentic Ai Ai Agent Ai Ml

Apply Now

Job Description

This Lead Artificial Intelligence / Machine Learning role at FIS Global focuses on designing and building generative AI and agent-based solutions across the organization. You will develop scalable LLM-powered applications, integrate them with enterprise platforms and workflows, and support production evaluation for accuracy, reliability, safety, and grounding.

Location and Work Model

The role is hybrid with 3 days onsite at the FIS Office in Jacksonville, FL.

Current and Future Sponsorship is not available for this position.

Responsibilities

Design and build generative artificial intelligence applications using proprietary and open-weight large language models.
Develop agent-based systems and workflows that enable planning, memory, tool use, orchestration, human oversight, and autonomous tasks.
Integrate artificial intelligence solutions with enterprise platforms, application programming interfaces, and business workflows.
Build and deploy representational state transfer services using Flask or FastAPI.
Evaluate model, agent, and system performance, including accuracy, reliability, grounding, and safety.

Requirements

At least 10 years of overall professional experience, including at least 4 years working with artificial intelligence, generative artificial intelligence, or agent-based artificial intelligence.
Experience designing and building GenAI-powered applications using LLMs (open and proprietary).
Experience building agent-based systems with planning, memory, tool use, and orchestration.
Experience implementing agentic workflows, including multi-agent setups, human-in-the-loop approaches, and autonomous tasks.
Hands-on experience with large language models, including prompting techniques, structured outputs, model routing, context management, memory management, and retrieval-augmented generation.
Strong proficiency in Python and experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, PyTorch, Keras, or pandas.
Experience with vector databases, retrieval systems, cloud platforms (Amazon Web Services, Google Cloud, or Microsoft Azure), and services built with Flask or FastAPI.
A bachelor's degree in engineering or a related field, or an equivalent combination of education, training, and work experience.

Technologies

Python, scikit-learn, TensorFlow, PyTorch, Keras, pandas
Flask, FastAPI
Vector databases, retrieval systems
Amazon Web Services, Google Cloud, Microsoft Azure
Large language models (LLMs), retrieval-augmented generation
Low-rank adaptation, quantized low-rank adaptation
LangChain, LlamaIndex, AutoGen, OpenAI Assistants application programming interface

Preferred Qualifications

Experience fine-tuning large language models, including parameter-efficient approaches such as low-rank adaptation and quantized low-rank adaptation.
Familiarity with orchestration tools such as LangChain, LlamaIndex, AutoGen, or the OpenAI Assistants application programming interface.
Knowledge of production machine learning operations, continuous integration and delivery, monitoring, observability, security, compliance, and data governance.

Impact

FIS artificial intelligence and machine learning efforts focus on identifying, exploring, and implementing solutions designed to support revenue growth and operational savings. The team brings together solution architects, data scientists, and machine learning engineers. In this Lead role, you will help translate emerging technologies into practical solutions applied across the organization.

Benefits

Competitive salary and benefits
Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community

What We Offer You

Opportunities to make an impact in fintech
Personal and professional learning
Inclusive, diverse work environment
Resources to give back to your community
Competitive salary and benefits

View full job page →

23d ago

Analyst, Data Engineer

Firehouse Subs Jacksonville, FL

Jacksonville, FL

23d ago

Full time Amazon Web Services Analytics AWS

Apply Now

Job Description

Design, build, and maintain analytics-ready data pipelines and ETL systems in a role focused on reliability, governance, and reporting.

Responsibilities

Assist with the design, build, and ongoing maintenance of efficient data pipelines and ETL processes to support reliable data flow.
Develop and maintain scalable data warehouse solutions to support evolving organizational data needs.
Monitor data pipelines, troubleshoot issues, and help ensure problems are identified and resolved promptly.
Model data tables and support business intelligence reporting dashboard development.
Support implementation of the team’s data engineering strategy, aligned to organizational goals.
Collaborate with the team and manager to evaluate and implement new technologies and methodologies that improve data engineering capabilities.

Requirements

1+ years of hands-on experience in data engineering, data analytics, or a related technical field.
Bachelor’s degree in computer science, engineering, or a related field; or equivalent experience.
Experience with AWS, including services such as S3, Glue/EMR, SQS, Step Functions, etc.
Strong programming skills in SQL and Python.
Experience querying and building in Snowflake with dbt.
Familiarity with version control, continuous integration, and infrastructure as code.
Familiarity with business intelligence reporting tools.
Knowledge of Point of Sale and Back of House systems is helpful.
Strong problem-solving and analytical skills.
Clear communicator able to work effectively with cross-functional teams.