Data engineer jobs in West Palm Beach, FL

KGO Consulting is a growing technical consulting company that specializes in Business Intelligence and Reporting, Data Architecture, Data Integration, Database Administration, Data Security, SharePoint, Cloud Design and Migration, EDI Integration, Disaster Recovery, and Enterprise Architecture Planning. This position requires the employee to be in the office Monday through Friday. Please only apply if you are local. We offer our team: Competitive compensation + bonuses Top-tier medical, dental, and vision benefits 401(k) with company match Paid time off and paid holidays Annual education/training expense reimbursement A culture that is dedicated to ongoing employee training and development You Can Expect To: Build and maintain our client data warehouses Build Power BI and SSRS reports Build SQL Server Integration Services Packages Build Tabular Model OLAP Cubes Work closely with clients to identify their needs and execute projects What You'll Need: Healthcare data experience on the payer (health insurance) or ACO (Accountable Care Organization) side - 3-5 years Healthcare claims experience Provider data experience EDI X12 data formats Encounter workflows Technical Experience SQL Server T-SQL Development - Expert - min 5 years SQL Server Integration Services - min 5 year Power BI - 1 year SQL Server Reporting Services - 1 year SQL Server Analysis Services Excel Pivot Tables The ability to successfully lead client projects to completion Must be comfortable leading projects and helping clients figure out what they need Be able to express creative ideas that will help healthcare clients Be able to manage multiple projects simultaneously Must be detail-oriented Must validate all data that we process Preferred experience, but not required: SQL Server Analysis Service - DAX SQL Server Database Administration Windows Failover Cluster Powershell Job Type: Full-time Benefits: 401(k) 401(k) matching Dental insurance Health insurance Paid time off Professional development assistance Tuition reimbursement Vision insurance Schedule: Monday to Friday (Onsite)

JD: 14+ years of overall IT experience with expertise in Data landscape - Data Warehouse, Data lake etc. Hands on experience in Big Data and Hadoop ecosystem; Strong skills in SQL, Python or Spark Proficient in Data Warehousing concepts and Customer Data Management (Customer 360) Experience in GCP platform - Dataflow, Dataproc, Kubernetes containers etc. Expertise in deep Data exploration and Data analysis Excellent communication and inter personal skills

HVAC VDC/BIM Manager Salary: $150k to $160k + Package About the Role: We are seeking a skilled VDC/BIM HVAC Design Engineer to join our dynamic MEP design and construction team in West Palm Beach. The ideal candidate will have hands-on experience with HVAC system design, Revit modeling, and Virtual Design & Construction (VDC) processes. You will play a key role in developing coordinated, constructible mechanical designs for commercial, healthcare, multifamily, and institutional projects. Key Responsibilities: Develop and manage detailed HVAC system models using Revit MEP and BIM coordination tools. Collaborate closely with architects, structural, plumbing, electrical, and construction teams to ensure fully coordinated BIM models. Prepare detailed HVAC designs, layouts, load calculations, and equipment selections. Support VDC workflows including clash detection, model validation, and constructability reviews using Navisworks or similar tools. Generate fabrication and installation drawings, schedules, and as-built documentation. Maintain BIM standards, templates, and best practices within the HVAC discipline. Participate in coordination meetings (virtual and on-site) with internal and external project teams. Assist in developing energy-efficient, cost-effective mechanical design solutions. Support field teams with model-based installation coordination and updates. Qualifications: Bachelor's degree in Mechanical Engineering, Building Services, or related field. 3-7 years of experience in HVAC design and BIM coordination for building projects. Proficiency in Revit MEP, AutoCAD, Navisworks Manage, and BIM 360 / ACC. Understanding of HVAC system design principles, load calculations, and code compliance (ASHRAE, SMACNA, Florida Building Code). Strong coordination and communication skills within multidisciplinary project teams. Detail-oriented and able to manage multiple projects in a fast-paced environment. Preferred Skills: Experience with construction coordination or design-build environments. Familiarity with Bluebeam, Dynamo, or Clash detection workflows. Knowledge of LEED, sustainable design, and energy modeling tools (e.g., TRACE 3D Plus, HAP). EIT certification or working toward PE licensure preferred. Experience working on healthcare or multifamily projects in Florida. Benefits: Competitive salary based on experience. Comprehensive health, dental, and vision insurance. 401(k) plan with company match. Paid time off and holidays. Professional training and career advancement opportunities.

We have 3 open positions as stated below: Job Role: AI QE Architect and Governance Leader Job Role: Senior AI QE Engineer Job role : AI QE Engineer Apply only USC/Green card's Job description: We are seeking an experienced AI Quality Engineering (QE) Architect & Governance Leader to drive end-to-end quality, automation, and governance for AI, ML, and GenAI solutions across mission-critical and highly regulated environments. This role combines deep expertise in automation, AI/ML technologies, and agentic workflows with strong leadership in governance, risk, and compliance-especially for Energy/Utilities/Nuclear domains. You will architect future-state AI QE frameworks, establish testing standards for LLMs and agents, automate validation pipelines, enforce model governance, and lead enterprise-wide assurance initiatives. Core Experience & Qualifications 10-14 years as a Technology Architect, SDET, or QE Leader with strong coding skills in Python, TypeScript, or Java. Proven experience designing automation frameworks or developer tools for large engineering organizations. Hands-on expertise with Large Language Models (LLMs), prompt engineering, and safety evaluation techniques. Exposure to Agentic AI systems and orchestration tools such as LangGraph, AutoGen, CrewAI, or similar agent frameworks. Experience implementing Model Context Protocol (MCP) for real-time automation, autonomous workflows, or CI/CD integrations. Experience working in highly regulated industries-Energy, Utilities, Nuclear, Healthcare, BFSI, or similar. AI / ML Technologies Practical experience with frameworks and ecosystems: LangChain, Hugging Face, GPT models, vector databases Working knowledge of ML/DL libraries: Scikit-learn, TensorFlow, Keras, PyTorch, HuggingFace Transformers, OpenCV, NLTK and BART Understanding of RAG architectures, embeddings, and semantic search (bonus). GenAI & AI Agent Development Expertise in designing, developing, validating, and deploying Generative AI solutions. Experience building AI agents, multi-agent workflows, or autonomous decision systems. Ability to define governance for: LLM drift detection Prompt quality standards Agent monitoring & observability Data lineage & model versioning Automation & Quality Engineering Strong experience building test automation frameworks using Python, PyTest, Selenium, Playwright, and Requests. Ability to create automated tests covering:

NationsBenefits is recognized as one of the fastest growing companies in America and a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions. We partner with managed care organizations to provide innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and bring value to their members. Through our comprehensive suite of innovative supplemental benefits, fintech payment platforms, and member engagement solutions, we help health plans deliver high-quality benefits to their members that address the social determinants of health and improve member health outcomes and satisfaction. Our compliance-focused infrastructure, proprietary technology systems, and premier service delivery model allow our health plan partners to deliver high-quality, value-based care to millions of members. We offer a fulfilling work environment that attracts top talent and encourages all associates to contribute to delivering premier service to internal and external customers alike. Our goal is to transform the healthcare industry for the better! We provide career advancement opportunities from within the organization across multiple locations in the US, South America, and India. Key Responsibilities: 1. Application Development: • Lead, mentor, and grow a team of high-performing engineers, fostering a collaborative and innovative work culture. • Recruit, onboard, and train top engineering talent, ensuring team members adhere to best development practices. • Conduct regular performance reviews, one-on-ones, and knowledge-sharing sessions to drive continuous team improvement. • Encourage an Agile and DevOps culture, promoting ownership, accountability, and cross-functional collaboration. 2. Technical Leadership: • Define and execute the technical strategy and architecture for a scalable secure, and high-performance FinTech application. • Ensure that the software development lifecycle (SDLC) adheres to industry best practices, coding standards, and compliance guidelines. • Guide engineers in software design, code reviews, debugging, and performance optimization. • Stay updated on emerging technologies and industry trends, integrating innovative solutions where applicable. 3. Application Development: • Lead the design, development, and deployment of Java-based microservices using Spring Boot, Hibernate, and RESTful APIs. • Ensure the delivery of fault-tolerant, scalable, and low-latency systems that can handle high transaction volumes. • Collaborate with business teams to translate functional requirements into robust technical solutions. • Optimize application performance, reliability, and security through proactive monitoring and fine-tuning. 4. Microservices & Cloud Deployment: • Architect, build, and maintain microservices-based systems on cloud platforms like Azure, AWS, or GCP. • Ensure efficient containerization and orchestration using Docker and Kubernetes. • Leverage cloud-based tools for monitoring, logging, and scaling production workloads. 5. Collaboration & Stakeholder Management: • Work closely with Product Managers, Program Managers, and Business Leaders to align technical roadmaps with company goals. • Ensure seamless collaboration between engineering, product, and non-technical teams. • Translate complex technical challenges into actionable business solutions. 6. Continuous Improvement: • Establish a culture of continuous learning and process enhancement within the engineering team. • Promote automation, DevOps practices, and CI/CD pipelines to streamline • deployments. • Encourage the adoption of new frameworks, tools, and best practices to improve team efficiency and product quality 7. Compliance & Security: • Ensure that applications comply with financial regulations, data security, and privacy standards (GDPR, PCI DSS, etc.). • Proactively manage technical risks, vulnerabilities, and security incidents. • Implement robust authentication, authorization, and encryption mechanisms for secure data transactions. 8. High-Volume Data Processing: • Design and manage SQL/NoSQL databases, ensuring optimal performance for large-scale data processing. • Optimize database queries for fast, efficient, and reliable financial transactions. • Integrate real-time data processing solutions, such as Kafka or Hadoop, to handle high-throughput workloads. Requirements: • Education: Master's or Bachelor's degree in computer science, Information Technology, or a related field. • Experience: 6-8 Years of Java (21) Development experience with Spring Framework (Spring Boot 3.x) • Technical Expertise: Java (Spring Boot, Hibernate), microservices architecture, RESTful APIs, SQL/NoSQL databases. • Cloud & DevOps: Experience with AWS, GCP, or Azure, CI/CD pipelines, and version control (Git, Jenkins, Kubernetes, Docker). • Agile & Collaboration: Strong understanding of Agile methodologies, team leadership, and cross-functional collaboration. • Problem-Solving & Security: Proven ability to design and deploy secure applications in a regulated environment. Preferred Qualifications: • Experience with Payment Tokenization and MDES : Seeking a seasoned engineer with proven experience in payments tokenization systems. The ideal candidate will have hands-on knowledge of the Mastercard Digital Enablement Service (MDES), including its APIs and integration patterns, token lifecycle for digital wallets. • Expertise in Secure Credential Provisioning: A critical skill for this role is expertise in secure credential provisioning and token management. The candidate must be adept at building and maintaining services that provision payment tokens to digital wallets and other devices. This involves implementing robust security protocols, managing key and certificate lifecycles, and ensuring compliance with industry standards like EMVCo and Payment Card Industry Data Security Standard (PCI DSS). • Integration of Azure Services with Payments Ecosystems : The role requires an individual who can architect and implement solutions using the Azure cloud platform to interact with the payment's ecosystem. The candidate should be proficient in using Azure services like Azure Functions, Azure Key Vault, and Azure App Service to build secure, scalable, and resilient payment processing applications that integrate seamlessly with external services like MDES. A strong grasp of cloud security principles and best practices for handling sensitive data is essential. • DevOps & Automation: Hands-on experience with Jenkins, Kubernetes, and cloud- based CI/CD pipelines. • Full-Stack Exposure: Familiarity with front-end frameworks like React or Angular. • Big Data & Messaging Systems: Knowledge of Kafka, Hadoop, and distributed data processing tools

Data Scientist Machine Learning. Data Scientist opportunity in Fort Lauderdale. Salary $100K to $135K DOE plus benefits. Our client is in the Consumer Finance and Lending industry, looking for a Data Scientist in their Fort Lauderdale office who is responsible for ensuring the successful operations of our client's Call Center team to meet the overall objectives, including strategic direction and development of a team providing Customer Service and Collections support, knowledge of Machine Learning is strongly preferred. Responsibilities: Develop statistical models for predicting future maintenance costs and key performance metrics. Consolidate, prepare, and analyze financial data to understand cause-and-effect relationships and identify root causes. Data mining, predictive-modeling, and innovative use of statistical and quantitative knowledge. Develop, implement, and maintain consistent processes for data quality control. Qualifications: Bachelor's degree in Finance, Engineering, Statistics, Math or equivalent. Master's degree preferred. Four (4) years or more relevant experience. Four (4) years or more experience in Corporate Finance, Call Center of or Consumer Finance.

Must Have Technical/Functional Skills Data Scientist with strong expertise in Python, PostgreSQL, and PyTest to join our team. The role involves building advanced data models, performing statistical analysis, and implementing automated testing frameworks for enterprise-grade solutions. Roles & Responsibilities * Develop and deploy data science models and algorithms using Python. * Perform data extraction, transformation, and analysis leveraging PostgreSQL and Pandas. * Design and implement robust automated test suites using PyTest for data pipelines and models. * Conduct exploratory data analysis (EDA) and feature engineering for predictive modeling. * Collaborate with stakeholders to define data-driven solutions and business insights. * Optimize SQL queries and database structures for performance and scalability. * Integrate models into production systems with CI/CD pipelines and testing gates. * Ensure data quality, security, and compliance with enterprise standards. * Document methodologies, workflows, and maintain reproducibility of experiments. * Provide production support and troubleshoot data-related issues Required Qualification * 5+ years of experience in Data Science and Python programming. * Strong knowledge of statistical modeling, machine learning techniques, and data visualization. * Expertise in PostgreSQL (schema design, query optimization, indexing). * Proficiency in PyTest for automated testing and CI/CD integration. * Hands-on experience with Pandas and NumPy for data manipulation. * Familiarity with Git-based workflows and CI/CD tools. * Strong problem-solving skills and ability to communicate technical concepts clearly. Generic Managerial Skills, If any * Experience with SQLAlchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (AWS, GCP, or Azure) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). * Prior experience in BFSI domain. Key Words to search in Resume Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka. Pre-Screening Questionnaire * Experience with SQL Alchemy, Airflow, or Prefect for workflow orchestration. * Knowledge of cloud platforms (GCP) and containerization (Docker). * Exposure to big data technologies (Spark, Hadoop) and streaming platforms (Kafka). Salary range:& nbsp; $120,000 to $140,000 per year

Voloridge Health, headquartered in Jupiter, FL, is a proactive healthcare technology company. We develop advanced tools to deliver predictive, personalized insights to empower individuals and organizations to make data-driven decisions, promoting longer, healthier lives. Voloridge Health is dedicated to developing a data-science-driven approach to assess, track, and improve healthspan. Founded in 2023 with the same data science background that has propelled its sister company, Voloridge Investment Management, as an award-winning quantitative hedge fund. Data Science is at the core of our business. We are seeking Data Scientists who have dedicated themselves to excellence in quantitative disciples such as mathematics, statistics or physics and who share our mission of improving health outcomes through data science. If you are eager to collaborate with a world-renowned team Voloridge Health could be the home for you. Summary of Job Functions Building and evaluating modern numerical/modeling techniques Working daily with complex, large-scale datasets Collaborative research projects requiring deep thinking, technical skills, and ingenuity Keeping abreast of the latest research related to applications of machine learning to health Minimum Requirements Deep understanding of modern machine learning techniques and algorithms Must demonstrate exceptional aptitude in descriptive and inferential statistics Extremely detail-oriented and self-motivated Experience with time series data Extensive experience working with large data Creative thinker and self-learner, able to demonstrate extraordinary critical thinking and analytical skills Competent skills in programming languages such as Python, R, C/#/++ Ability to communicate actionable results with present senior leadership Advanced degree in Physics, Statistics, Mathematics or other quantitative disciplines or equivalent experience Ability to work onsite in our Jupiter, FL office Preferred Skills and Previous Experience Outstanding achievements such as Math competitions, Kaggle - Grandmaster/Master, exceptional scores on SAT/GRE/LSAT, Chess Grandmaster, etc. Experience with relational SQL databases Benefits Relocation assistance available for the right candidate Highly competitive base salary Health, dental, vision, life, and disability insurance 401K Voloridge Health is an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

We are from US IT Solutions, an ISO Certified, E-Verify, WMBE Certified organization established in 2005 in CA. O ur company is serving various State, Local and County Departments for over 10 years. USITSOL has been helping clients innovate across all phases of the application lifecycle for over a decade. Some of our prestigious clients are State of CA, State of OR, State of FL, State of NC, State of GA, State of CO, State of VA, State of AR, State of MI, State of OH, State of IL, State of MO, State of MS, California State University, Sacramento Area Sanitation Department, SMUD, Sound Transit, LA Superior Courts, District of Columbia, UMAS, University of Central Florida and Hennepin County and many more. Job Description We are looking for Data Scientist in Juno Beach FL. Responsibilities: • Responsible for all activities associated with the administration of either mainframe or distributed computerized databases; • Design, implement, maintain and monitors databases; • Develop documents and implements guidelines, standards and procedures, maintenance of database dictionaries, and integration of systems through database design; • Develop machine learning, optimization and other modeling solutions; • Prepare comprehensive documented observations, analyses and interpretations of results including technical reports, summaries, protocols and quantitative analyses; • Research meteorological and climate influences on wind and solar generation, including forecasting techniques and applications; • Perform other job-related duties as assigned Qualifications Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies - the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role: * Design and build real-time market data processing systems covering global markets and multiple asset classes * Architect and implement high-performance software solutions for processing market data feeds at scale * Drive technical innovation by leveraging emerging technologies to enhance system telemetry, monitoring, and operational efficiency * Provide technical leadership and escalation support for production market data systems * Analyze system performance and design data-driven approaches to optimize market data processing workflows * Lead the design of data governance systems for tracking availability, access patterns, and usage metrics What You Will Bring: * Degree in a quantitative or technical discipline from top university and strong academic scores * Expert-level C++ proficiency with demonstrated experience in other object-oriented languages (Java, C#) * Experience with scripting languages such as Perl, Python, and shell scripting for automation and data processing * Deep experience with tick-by-tick market data processing, including data normalization, feed handling, and real-time analytic * Excellent communication skills with ability to collaborate effectively across technical and business teams * Have experience working under Linux environment Our Benefits: * Core Benefits: Fully paid medical and dental insurance for employees and dependents, flexible spending account, 401k, fully paid parental leave, generous PTO (paid time off) that consists of: * twenty vacation days that are pro-rated based on the employee's start date, at an accrual of 1.67 days per month, * three personal days, and * ten sick days. * Perks: Employee discounts for gym memberships, wellness activities, healthy snacks, casual dress code * Training: learning and development courses, speakers, team-building off-site * Employee resource groups Pay Transparency: WorldQuant is a total compensation organization where you will be eligible for a base salary, discretionary performance bonus, and benefits. To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on job function and level, benchmarked against similar stage organizations. When finalizing an offer, we will take into consideration an individual's experience level and the qualifications they bring to the role to formulate a competitive total compensation package. The Base Pay Range For This Position Is $175,000 - $250,000 USD. At WorldQuant, we are committed to providing candidates with all necessary information in compliance with pay transparency laws. If you believe any required details are missing from this job posting, please notify us at [email protected], and we will address your concerns promptly. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. #LI-RS1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Vertical Bridge is the nation's largest private owner and operator of communications infrastructure and locations, providing build-to-suit and colocation solutions to the wireless industry. Founded in 2014, the company is headquartered in Delray Beach, Florida. In 2020, Vertical Bridge became the first tower company in the world to achieve the CarbonNeutral company certified status and has been recertified every year since. Summary: The Data Engineer works with big data technologies and has a solid understanding of Databricks, Lakehouse architecture, integrating Spark for data processing, and Power BI or Databricks One for data visualization. The ideal candidate will be responsible for developing and maintaining scalable data pipelines and contributing to the design of our enterprise data architecture to support our various applications as well as analytics and business intelligence platforms. Job Functions: Work closely with a team of data engineers, business intelligence developers, and product owners to build scalable and efficient data pipelines, optimize data storage and retrieval processes, and deliver insightful analytics solutions to our stakeholders Collaborate with different functional teams to develop, tune, and produce ML models, enabling automated retraining, feature engineering, and monitoring within Databricks MLflow Develop and maintain scalable data pipelines to extract, transform, and load data from various sources into our data Lakehouse, focusing on performance optimization and efficiency Design and implement data models and schemas to support business intelligence and analytics Ensure data quality and integrity through data validation and cleansing processes Collaborate with data scientists, analysts, product owners, and business stakeholders to understand data requirements and translate them into technical solutions Explore and implement new data technologies and tools to enhance data capabilities Troubleshoot data-related issues and provide solutions These job functions are representative of tasks accomplished by incumbents. The list is not exhaustive; incumbents perform other job-related tasks. Supervisory Responsibilities: None Working Conditions and Physical Demands: Position will work directly from the corporate office with minimum travel. Education and Experience: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field Background in Machine Learning, Artificial Intelligence, and Data Science is strongly preferred for this role Experience with Azure cloud services, particularly Azure Databricks and related components Knowledge of data integration and ETL processes using Apache Spark Proficiency in SQL and familiarity with programming languages such as Python or Scala Experience with Power BI or similar BI tools for creating reports and dashboards Strong analytical and problem-solving skills Excellent communication and teamwork abilities Vertical Bridge is committed to a policy of equal employment and will not discriminate against an applicant or employee. Vertical Bridge is an Equal Employment Opportunity Employer M/F/D/V

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Job Description We are looking to fill a position for Data Scientist in Juno Beach FL. Qualifications • Experience as a Data Scientist (5+ years); • Experience with regression and classification techniques (RF, SVM, LR, time-series models, etc); • Experience with statistical analysis packages (R, Python, STRATA, Matlab, etc); • Bachelor's degree in engineering, applied math, physics, statistics or computer science is required; • Master's degree/ Doctoral degree (preferred). Additional Information In person interview is acceptable.

Job Description GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We are building a data platform that will allow us to bring a new level of intelligence to the pharmacy experience. Our analytics stack comprises of: Python, Spark, and Singer for ETL pipelines. Snowflake, Azure Blob Storage, and PostgreSQL for data storage. Databricks for additional transformations and machine learning. Looker for BI and reporting. You will design and implement data pipelines while factoring for scalability, availability, and quality and be instrumental in setting standards and best practices for the rest of the data science team. Roles & Responsibilities Work within the existing data ecosystem to move and integrate data pipelines across warehouses, legacy platforms, and external partners. Create actionable reports and dashboards that allow business stakeholders to self-service data requests while encouraging a culture of data discovery. Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Azure big data technologies. Transform raw data into actionable data layers for use across the organization powering not only our business intelligence capabilities but also helping to establish a base for machine learning applications. Establish a data platform that can be used as a sole source of truth across the organization. Develop metrics and leading indicators that not only give answers to data questions but also provide context and understanding of trends. Monitor and review our drug pricing and give recommendations on ways to get customers the best possible price for their medications while achieving margin targets for the company. Work in a supportive, passionate team as we drive to bring a new level of medication savings and insight to our customers. Skills and Attributes for Success Bachelor's degree in computer science, engineering, mathematics, economics, or related discipline. 3+ years of experience in data engineering or business intelligence with a track record of manipulating, processing, and extracting valuable information from large datasets. Strong SQL skills. Experience working with business intelligence tools such as Looker, and Tableau. Experience working with executive stakeholders to not only develop reporting that meets their needs but be able to explain the importance/impact of our measures. Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus. Knowledge of best practices related to data transformations and reporting - healthcare experience is a plus. Knowledge of software engineering best practices including git, agile methods, coding standards and reviews, testing, and operations. Experience working in the Azure ecosystem is a plus. Preferred Experience with healthcare and pharmacy (preferred) Working at GeniusRx (Headquarters in Boca Raton, FL) means you are working with a diverse, passionate, collaborative team who are dedicated to making pharmacy personal again and are on a mission to disrupt the virtual pharmacy industry. We believe in cultivating a culture of bravery, kindness, and honesty. We encourage a healthy work-life balance and encourage our employees to take care of themselves by utilizing our comprehensive medical benefits, generous paid time off benefits, wellness programs, social events, and much more! GeniusRx provides equal opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

GeniusRx is looking for an experienced data engineer to help bring the next evolution of pharmacy to life. As part of the data science team under product and technology, you will be working together with the data science, engineering, and product teams to ensure the right data gets to the right people. We are building a data platform that will allow us to bring a new level of intelligence to the pharmacy experience. Our analytics stack comprises of: Python, Spark, and Singer for ETL pipelines. Snowflake, Azure Blob Storage, and PostgreSQL for data storage. Databricks for additional transformations and machine learning. Looker for BI and reporting. You will design and implement data pipelines while factoring for scalability, availability, and quality and be instrumental in setting standards and best practices for the rest of the data science team. Roles & Responsibilities Work within the existing data ecosystem to move and integrate data pipelines across warehouses, legacy platforms, and external partners. Create actionable reports and dashboards that allow business stakeholders to self-service data requests while encouraging a culture of data discovery. Work together with stakeholders from marketing, pharmacy ops, engineering, and product to understand how the data works, where it comes from, and where it needs to go. Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and Azure big data technologies. Transform raw data into actionable data layers for use across the organization powering not only our business intelligence capabilities but also helping to establish a base for machine learning applications. Establish a data platform that can be used as a sole source of truth across the organization. Develop metrics and leading indicators that not only give answers to data questions but also provide context and understanding of trends. Monitor and review our drug pricing and give recommendations on ways to get customers the best possible price for their medications while achieving margin targets for the company. Work in a supportive, passionate team as we drive to bring a new level of medication savings and insight to our customers. Skills and Attributes for Success Bachelor's degree in computer science, engineering, mathematics, economics, or related discipline. 3+ years of experience in data engineering or business intelligence with a track record of manipulating, processing, and extracting valuable information from large datasets. Strong SQL skills. Experience working with business intelligence tools such as Looker, and Tableau. Experience working with executive stakeholders to not only develop reporting that meets their needs but be able to explain the importance/impact of our measures. Experience using Python, or other language equivalents, and its related data packages (Pandas, Numpy, SQLalchemy), and experience using Spark-based platforms like Databricks is a plus. Knowledge of best practices related to data transformations and reporting - healthcare experience is a plus. Knowledge of software engineering best practices including git, agile methods, coding standards and reviews, testing, and operations. Experience working in the Azure ecosystem is a plus. Preferred Experience with healthcare and pharmacy (preferred) Working at GeniusRx (Headquarters in Boca Raton, FL) means you are working with a diverse, passionate, collaborative team who are dedicated to making pharmacy personal again and are on a mission to disrupt the virtual pharmacy industry. We believe in cultivating a culture of bravery, kindness, and honesty. We encourage a healthy work-life balance and encourage our employees to take care of themselves by utilizing our comprehensive medical benefits, generous paid time off benefits, wellness programs, social events, and much more! GeniusRx provides equal opportunity to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristics protected by federal, state, or local laws.

Job Description Job Overview: ITRADE is in search of a Lead Cloud Data Engineering Manager for one of our leading client companies in the Ft. Lauderdale area. This exciting opportunity allows you to leverage your expertise in Microsoft Azure ecosystem to design and implement scalable cloud-based data solutions while leading data engineering initiatives. You'll work at the forefront of clean energy innovation, applying your technical skills in a company guided by values of relationship-building, entrepreneurial spirit, and contagious energy. RESPONSIBILITIES: Design, build, and maintain scalable cloud-based data solutions within the Microsoft Azure ecosystem Lead development of data pipelines and ETL/ELT workflows using Azure Data Factory Develop and optimize data lake and warehouse architectures using Azure Data Lake Storage Gen2, Azure Synapse Analytics, and SQL Server Implement robust data ingestion frameworks for structured and unstructured data sources Design and enforce data governance standards and security policies using Azure Purview and SQL Server security roles Collaborate with stakeholders to deliver semantic models, Power BI datasets, and dashboards Manage CI/CD processes for data infrastructure using Azure DevOps Provide technical mentorship to junior engineers REQUIREMENTS: Bachelor's or Master's degree in Computer Science, Information Systems, or related field 7+ years of professional experience in data engineering, with 3+ years focused on Microsoft cloud data technologies Strong expertise in T-SQL, including optimized queries, stored procedures, and views Experience with data modeling best practices, dimensional modeling, and snapshotting techniques Advanced SQL concepts knowledge (joins, aggregates, indexing, normalization) Proven experience building enterprise-grade solutions with Azure Data Factory, Synapse, Data Lake Storage Gen2, Functions, and Logic Apps Hands-on experience with Power BI, including DAX and M language Familiarity with Agile/Scrum methodologies, Git, and project management tools Experience with data governance, compliance, and security requirements

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. We are looking for a Data Engineer who must understand the many different and evolving use cases for data at Voloridge and design systems that supply a variety of data sets for advanced analytics. Summary of Job Functions Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Architects, Data Analysts, QA Analysts, DBAs and other Data Engineers Build and maintain data pipelines based on functional and architectural specifications Ensure that data pipelines incorporate best practices related to high performance, fault tolerance, instrumentation, logging and data driven functionality Ensure that data pipelines are scalable, maintainable, extensible, and not overly engineered Produce and maintain engineering and operational documentation Analyze complex data problems and engineer elegant solutions Develop and maintain knowledge expertise in current technology stack Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects Work in an Agile SDLC environment Participate in engineering standards and best-practices evolution Participate in an 24x7 on-call rotation Assist Data Analysts in troubleshoot data issues Be able to work daily onsite in our Jupiter, FL office Minimum Requirements 5+ years of experience building ETL/ELT data pipelines using on-premises SQL Server 2017 Enterprise Edition, or newer Proficient understanding of relational data modeling Good TSQL performance tuning skills Experience writing both historical and incremental ETL/ELT data pipelines Solid understanding of traditional Agile SDLC best practices, ceremonies, and tools Solid understanding of source control concepts (such as branching, feature branches, pull requests) and tools (such as GitHub, BitBucket, Azure DevOps) Experience writing Python Experience writing PowerShell Experience building data pipelines using third-party external data sources Experience working on a team of 3 or more data engineers Experience being responsible for the mission critical data solutions Strong initiative, collaboration, accountability, impartiality and communication Bachelor's degree in Computer Science, Information Systems, related discipline, or equivalent experience Preferred Skills and Experience Experience writing ETL/ELT which leverages data change detection technologies, such as SQL Server Change Tracking and/or Change Data Capture Experience using Python libraries such as Polars, Pandas, Numpy, CSV, TraceBack, JSON, PyODBC, TurbODBC, Math Experience with cloud-based data management solutions such as Snowflake, Redshift Experience working with DevOps functionality such as CI / CD Experience working with trading / financial / investment / accounting data Experience using productivity tools such as Red Gate and SentryOne Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams Experience writing operational documentation such as Run Books Experience collaborating with project managers, QA testers, and end-users Master's Degree in Computer Science, Information Systems, or related discipline Compensation and Benefits Highly competitive base salary Profit sharing bonus Health, dental, vision, life, and disability insurance 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

iBusiness Funding is a software and lender service provider specializing in small business lending. Our technology, team, and process enable us to support loans from $10,000 to $25 million for our lending partners. Our technology solutions have been proven to quickly scale our clients' portfolios without the need for additional overhead. Our flagship product, LenderAI, features end-to-end lending functionality from sales all the way through servicing. To date, we've processed over $11 billion in SBA and non-SBA volume and handle more than 1,000 business loan applications daily. Our team is driven by our core values of innovation, integrity, enjoyment, and family. Join us and be part of a team that's transforming the finance industry and empowering businesses to thrive! Position Description We are seeking an experienced expert AI Knowledge Data Engineer to design, implement, and scale state-of-the-art AI systems that combine large language models (LLMs), advanced retrieval techniques, cognitive memory architectures, including knowledge representation, and data fusion. In this role, you will orchestrate robust data pipelines, architect scalable training data solutions, and build the foundational knowledge bases that power next-generation AI agents. You will collaborate with cross-functional teams to ensure our systems efficiently retrieve, contextualize, and generate accurate information for diverse business applications. Major Areas of Responsibility Architect, implement, and optimize retrieval-augmented generation (RAG) workflows by integrating local LLMs (e.g., Llama) with retrieval mechanisms (vector search, Elasticsearch, FAISS, Weaviate). Design, build, and maintain scalable data pipelines for ingesting, transforming, indexing, and retrieving structured and unstructured data from diverse sources. Design, build, and scale addressable services and tools specifications that can be leveraged by LLMs and Agents to orchestrate workflows. Orchestrate and scale training data operations, including data curation, versioning, and lineage tracking for large-scale LLM training and fine-tuning. Develop and maintain ontologies, knowledge graphs, and semantic data models to structure and integrate domain-specific knowledge for improved retrieval and reasoning. Implement and optimize knowledge retrieval strategies (dense/sparse retrieval, ranking algorithms) to maximize system accuracy and relevance. Aggregate disparate knowledge bases and heterogeneous data into a fused approach for access to relevant contextual information. Design cognitive memory systems for AI agents, enabling persistent knowledge retention and contextual awareness across interactions. Collaborate with AI researchers, data scientists, and engineers to align knowledge architecture with business objectives and ensure data quality. Evaluate and integrate new technologies and research advancements in LLMs, RAG, information retrieval, and knowledge representation. Maintain clear and comprehensive documentation of models, pipelines, and workflows. Required Knowledge, Skills, and Abilities Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Proven experience designing and scaling data pipelines and training data workflows for LLMs or similar AI systems. Strong background in information retrieval systems, vector search technologies, and RAG frameworks (e.g., FAISS, Pinecone, Elasticsearch, Milvus). Proficiency in programming (Python) and machine learning libraries (TensorFlow, PyTorch). Experience with ontologies, knowledge graphs, and semantic technologies (RDF, OWL, SPARQL). Familiarity with distributed data processing and orchestration tools (e.g., Spark, Airflow, Kubeflow). Excellent analytical, problem-solving, and communication skills. Ability to work collaboratively in a cross-functional, fast-paced environment. Nice To Haves Experience with LLM fine-tuning, prompt engineering, and RAG optimization. Familiarity with data-centric AI principles and training data quality assessment. Experience with cloud platforms and scalable storage solutions. Background in cognitive memory architectures or AI agent design. The anticipated salary range for this position is $180,000 - $240,000 annually, depending on experience and qualifications. iBusiness Funding provides a comprehensive benefits package, including medical, dental, and vision coverage; 401(k) with company match, and paid time off. Conclusion: This is intended to convey information essential to understanding the scope of the job and the general nature and level of work performed by job holders within this job. This job description is not intended to be an exhaustive list of qualifications, skills, efforts, duties, responsibilities, or working conditions associated with the position. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, genetic information, or any other characteristic protected by law.

We are united in our mission to make a positive impact on healthcare. Join Us! South Florida Business Journal, Best Places to Work 2024 Inc. 5000 Fastest-Growing Private Companies in America 2024 2024 Black Book Awards, ranked #1 EHR in 11 Specialties 2024 Spring Digital Health Awards, “Web-based Digital Health” category for EMA Health Records (Gold) 2024 Stevie American Business Award (Silver), New Product and Service: Health Technology Solution (Klara) Who we are: We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed's global headquarters is based in Boca Raton, FL, with a growing office in Hyderabad, India, and a robust remote workforce across the US, Chile, and Germany. We Are Modernizing Medicine (WAMM)! We're a team of bright, passionate, and positive problem-solvers on a mission to place doctors and patients at the center of care through an intelligent, specialty-specific cloud platform. Our vision is a world where the software we build increases medical practice success and improves patient outcomes. Founded in 2010 by Daniel Cane and Dr. Michael Sherling, we have grown to over 3400 combined direct and contingent team members serving eleven specialties, and we are just getting started! ModMed is based in Boca Raton, FL, with office locations in Santiago, Chile, Berlin, Germany, Hyderabad, India, and a robust remote workforce with team members across the US. As we continue to scale and drive innovation, we are seeking dynamic and experienced Data Scientists at various levels to join our team. We are seeking Data Scientists to play a critical role in driving data and machine learning initiatives that fuel innovation and business growth. This is ideal for a hands-on technical lead who is passionate about solving complex problems using data and building production-grade ML systems. You will work closely with cross-functional teams to design, develop, and deploy scalable data solutions and machine learning models that create measurable business impact. Key Responsibilities : Design and implement advanced machine learning models and algorithms for prediction, classification, personalization, and automation use cases. Translate business problems into machine learning solutions, working closely with stakeholders to identify opportunities for data-driven impact. Build and evaluate models using techniques such as supervised/unsupervised learning, time-series forecasting, NLP, and deep learning where applicable. Own the end-to-end lifecycle of machine learning models, from data exploration and feature engineering to deployment, monitoring, and retraining. Lead cross-functional ML projects, collaborating with product managers, data engineers, analysts, and software engineers. Partner with data engineering teams to ensure robust data pipelines and access to high-quality, clean, and reliable data for analytics and ML. Contribute to the design and development of scalable ML infrastructure and tools to support training, experimentation, and production deployment. Analyze large datasets to generate actionable insights, uncover trends, and support strategic decisions. Develop visualizations, dashboards, and reports to communicate results to technical and non-technical audiences. Work with stakeholders across the business (product, marketing, operations) to validate findings and support data-informed decisions. Qualifications: PhD in Computer Science, Data Science, Electrical Engineering, Mathematics, Physics, or a related quantitative field. Proven track record of research excellence demonstrated by publications in top ML/AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, AAAI, KDD) or journals. Hands-on experience in data science or machine learning in a product or platform-focused environment preferably in healthcare or similar data-rich domain. Strong proficiency in Python and common ML libraries. Experience with MLOps tools and cloud-based ML environments such as AWS. Experience working with healthcare data formats (HL7, FHIR) and privacy standards (HIPAA) is a plus. Solid understanding of statistical methods, experimental design, and data wrangling. Familiarity with SQL, Spark, and distributed data systems is a plus. #LI-DV1 ModMed Benefits Highlight: At ModMed, we believe it's important to offer a competitive benefits package designed to meet the diverse needs of our growing workforce. Eligible Modernizers can enroll in a wide range of benefits: India Meals & Snacks: Enjoy complimentary office lunches & dinners on select days and healthy snacks delivered to your desk, Insurance Coverage: Comprehensive health, accidental, and life insurance plans, including coverage for family members, all at no cost to employees, Allowances: Annual wellness allowance to support your well-being and productivity, Earned, casual, and sick leaves to maintain a healthy work-life balance, Bereavement leave for difficult times and extended medical leave options, Paid parental leaves, including maternity, paternity, adoption, surrogacy, and abortion leave, Celebration leave to make your special day even more memorable, and company-paid holidays to recharge and unwind. United States Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution, 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep. Generous Paid Time Off and Paid Parental Leave programs, Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs, Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed, Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning, Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles, Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters. PHISHING SCAM WARNING: ModMed is among several companies recently made aware of a phishing scam involving imposters posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote "interviews," and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from ModMed without a formal interview process, and valid communications from our hiring team will come from our employees with a ModMed email address (*************************). Please check senders' email addresses carefully. Additionally, ModMed will not ask you to purchase equipment or supplies as part of your onboarding process. If you are receiving communications as described above, please report them to the FTC website.

We are a leading construction company committed to delivering high-quality, innovative projects. Our team integrates cutting-edge technologies into the construction process to streamline operations, enhance decision-making, and drive efficiency across all levels. We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining technical problem-solving with stakeholder collaboration. You will collaborate with business leaders to understand data needs and work closely with a global engineering team to deliver scalable, timely, and high-quality data solutions that power insights and operations. Responsibilities * Own data delivery for specific business verticals by translating stakeholder needs into scalable, reliable, and well-documented data solutions. * Participate in requirements gathering, technical design reviews, and planning discussions with business and technical teams. * Partner with the extended data team to define, develop, and maintain shared data models and definitions. * Design, develop, and maintain robust data pipelines and ETL processes using tools like Azure Data Factory and Python across internal and external systems. * Proactively manage data quality, error handling, monitoring, and alerting to ensure timely and trustworthy data delivery. * Perform debugging, application issue resolution, root cause analysis, and assist in proactive/preventive maintenance. * Support incident resolution and perform root cause analysis for data-related issues. * Create and maintain both business requirement and technical requirement documentation * Collaborate with data analysts, business users, and developers to ensure the accuracy and efficiency of data solutions. * Collaborate with platform and architecture teams to align with best practices and extend shared data engineering patterns. Qualifications * Minimum of 4 years of experience as a Data Engineer, working with cloud platforms (Azure, AWS). * Proven track record of managing stakeholder expectations and delivering data solutions aligned with business priorities. * Strong hands-on expertise in Azure Data Factory, Azure Data Lake, Python, and SQL * Familiarity with cloud storage (Azure, AWS S3) and integration techniques (APIs, webhooks, REST). * Experience with modern data platforms like Snowflake and Microsoft Fabric. * Solid understanding of Data Modeling, pipeline orchestration and performance optimization * Strong problem-solving skills and ability to troubleshoot complex data issues. * Excellent communication skills, with the ability to work collaboratively in a team environment. * Familiarity with tools like Power BI for data visualization is a plus. * Experience working with or coordinating with overseas teams is a strong plus Preferred Skills * Knowledge of Airflow or other orchestration tools. * Experience working with Git-based workflows and CI/CD pipelines * Experience in the construction industry or a similar field is a plus but not required. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at ********************