Data Scientist
Data engineer job in Miami, FL
Who we are:
Spot Pet Insurance is the fastest growing pet insurance company in North America. Our commitment to an exceptional end-to-end customer experience and our data-driven approach have quickly established us as a leading pet insurance provider. We're dedicated to providing pet parents with peace of mind by offering accessible and comprehensive coverage so their furry companions can lead happier, healthier lives. To demonstrate this, we recently joined forces with MrBeast to find homes for 100 homeless pets and committed to giving each of them pet insurance for life! Along the way, we've created a company culture that allows our employees to thrive, with perks like daily free meals, a pet-friendly office, and ridiculously fun company events every quarter. Our dedication to fostering a positive and rewarding work environment for our team has even earned us a Great Place to Work certification.
About the Role:
Love Pets? Love AI? Let's Talk.
We're looking for a Data Scientist who treats AI like a trusted teammate and thrives in a collaborative, fast-moving environment. If you're already using large language models, AI coding assistants, and automated analysis tools every day, you'll fit right in here. At Spot, we help pet parents protect the animals they love. Your work will make that protection smarter and more personal.
Key Responsibilities
Team up across the company to find problems worth solving with data.
Use AI tools (Claude, ChatGPT, Copilot, and others) to write, debug, and ship code faster.
Build predictive models for pricing, claims, fraud detection, and customer behavior.
Design experiments and measure what works. You know correlation isn't causation.
Run marketing mix modeling to show where our dollars work hardest.
Create customer models that help us earn trust and keep it.
Build internal tools and data products that help your teammates answer their own questions and make better decisions without waiting on you.
Share your findings in ways everyone can understand. Skip the jargon.
Keep learning. AI and machine learning move fast. So should you.
Required Qualifications
Degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Real experience as a Data Scientist in a fast-paced environment.
Strong programming skills in Python, R, and SQL, including data and ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch).
Experience with BigQuery and Databricks.
Solid grounding in statistics, hypothesis testing, and experimental design.
Daily use of AI assistants for coding, analysis, and problem-solving. We'll ask for examples.
Experience building dashboards, self-serve tools, or internal data products for non-technical users.
You explain complex ideas clearly
About AI Proficiency
This matters. We'll ask how you use AI tools in your current work. We want specifics, not buzzwords. If AI isn't already part of how you get things done, this role won't be a good fit. But if you're the type who's always looking for ways to work smarter, we'd love to hear from you.
About Location
We work together in our downtown Miami office five days a week. This is non-negotiable. We believe the best collaboration happens in person, and this role requires it.
What we offer:
The opportunity to work on challenging and impactful projects at the intersection of design and data.
A collaborative and supportive work environment, recognized as a Great Place to Work.
Cell phone allowance of $100 per month
Health, dental, and visions benefits
Life insurance
ClassPass
Unlimited PTO
Bring your pet to work
Your pet insurance is covered (Up to $100)
401k with Company match
Annual performance-based bonus
Senior Data Engineer / Data Modeler (Spark, Cloud, Databricks & Modeling)
Data engineer job in Hollywood, FL
No VISA candidates please..
MUST BE ONSITE 3-4 DAYS IN MIAMI FL
We are seeking a skilled Data Engineer to design and build analytics solutions that drive meaningful business value. In this role, you will collaborate closely with data teams, stakeholders, and leadership to ensure technical solutions align with business goals. You will create scalable data architectures, robust data models, and modern engineering pipelines that support the full data lifecycle.
The ideal candidate is a strong database designer with hands-on experience in QL, data modeling, and Databricks. You should be comfortable gathering requirements, managing timelines, collaborating with offshore teams, and interacting directly with clients.
This role requires 4 days per week onsite in Miami; no travel required.
Key Responsibilities
Design, build, and maintain scalable on-prem and cloud-based data architectures.
Translate business requirements into clear, actionable technical specifications.
Optimize data flows, pipelines, and integrations for performance and scalability.
Develop and implement data engineering solutions using Databricks (AWS, Azure, or Google Cloud Platform).
Lead end-to-end pipeline development, including ingestion, transformation, and storage.
Ensure data quality, governance, security, and integrity across the lifecycle.
Work directly with clients to understand needs and deliver tailored solutions.
Provide guidance and mentorship to junior engineers and team members.
Clearly communicate complex data concepts to technical and non-technical audiences.
Manage stakeholder expectations and maintain strong client relationships.
Stay current with modern data engineering, cloud, and analytics technologies.
Skills & Attributes for Success
Strong analytical, decision-making, and problem-solving abilities.
Expertise in cloud architecture and modern data engineering concepts.
Experience with data integration, modeling, and security best practices.
Ability to handle complex business requirements and legacy system landscapes.
Excellent communication and relationship-building skills.
Required Qualifications
Bachelor s degree in Computer Science, Engineering, or related field (Master s preferred).
5+ years of data engineering experience focused on cloud-based solutions.
Hands-on expertise with Databricks and Spark for large-scale data processing.
Strong programming skills in Python, Scala, and/or SQL.
Deep experience in data modeling, ETL development, and data warehousing.
Proven success delivering at least two end-to-end data engineering projects, such as:
Building a data lake on Databricks integrating multiple sources for BI analytics.
Developing real-time pipelines using Databricks and cloud-native services.
Ability to work independently, lead tasks, meet deadlines, and manage client communication.
Senior Project Expertise (Preferred for Consulting-Level Roles)
Ability to connect technical solutions to broader business strategies.
Experience managing multiple concurrent projects and deliverables.
Skilled in stakeholder engagement at all levels, including executives.
Change management exposure in data transformation initiatives.
Ability to identify risks and define mitigation strategies.
Experience contributing to architectural decision-making and technical leadership.
Strong documentation, reporting, and client-facing communication.
Nice to Have
Experience with data quality frameworks and semantic layers.
Familiarity with AWS, Azure, or Google Cloud Platform data services.
Understanding of data governance, privacy, and compliance standards.
Exposure to machine learning tools and frameworks.
Data Scientist
Data engineer job in Miami, FL
One of our staffing partners is helping an Ecommerce hire a Data Scientist
Salary offered $65-75k per year
Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
Responsibilities:
Develop advanced NLP solutions for text generation, summarization, and semantic search
Optimize transformer-based architectures for performance and scalability
Leverage prompt engineering and model customization to enhance AI outputs
Deploy, monitor, and optimize AI models in cloud environments
Collaborate with cross-functional teams to integrate AI into real-world applications
Analyze and preprocess massive datasets for AI-driven insights
Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
Proficiency in Python, TensorFlow, PyTorch.
Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
Experience with AI model deployment and optimization techniques
Data Architect
Data engineer job in Sunrise, FL
Role: Data Architect
12-14 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 interpersonal skills
Data Scientist
Data engineer job in Sunrise, FL
Data Scientist (Python / PostgreSQL / PyTest)
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.
Data Science, Python, Pandas, PostgreSQL, PyTest, Machine Learning, CI/CD, SQL Performance, Airflow, Docker, Kafka.
Interested candidates please share me your updated resume to *******************
GCP Data Architect with 14+ years (Day 1 onsite)
Data engineer job in Sunrise, FL
12-14 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
Healthcare Data Warehouse and Integration Developer
Data engineer job in Weston, 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)
Cloud Engineer
Data engineer job in Miami, FL
The Sr. IT Infrastructure Engineer is responsible for implementing, optimizing, and supporting both on-premises and cloud-based infrastructure. This role requires hands-on experience with cloud platforms (such as Azure, AWS, or OCI), hybrid environments, and automation, ensuring high availability, security, and seamless integration across all systems.
Responsibilities
• Manage and monitor all installed systems, infrastructure, and cloud resources, ensuring optimal performance and availability.
• Architect, deploy, and support cloud solutions (Azure, AWS, GCP, OCI), including virtual networks, storage, compute, and cloud-native services.
• Lead and execute cloud migration projects, ensuring secure and efficient transitions from on-premises to cloud environments.
• Implement and support identity and access management, including integration with cloud-based identity providers (e.g., Azure AD, AWS IAM).
• Maintain security, backup, and redundancy strategies for both on-premises and cloud environments.
• Write and maintain custom scripts to automate tasks and improve efficiency across hybrid infrastructure.
• Monitor and test network and cloud performance, proactively identifying and resolving bottlenecks.
• Provide L2/3 escalation support for both traditional and cloud infrastructure.
• Liaise with vendors and cloud service providers for problem resolution and service optimization.
• Create and maintain comprehensive infrastructure and cloud architecture diagrams, SOPs, and technical documentation.
• Lead assigned projects and implement automation using cloud-native tools and services.
• Mentor junior engineers and provide technical leadership on cloud best practices.
Skills
• Proven experience in enterprise deployments of Microsoft Azure, O365, Active Directory, and other cloud technologies.
• Hands-on experience with Azure, AWS and/or OCI for infrastructure deployment, automation, and security.
• Experience architecting, designing, and implementing disaster recovery solutions across hybrid and cloud environments.
• Deep understanding of technology infrastructure, integration, and cybersecurity, including cloud security frameworks.
• SME in Windows server solutions and cloud-based virtualization (e.g., VMware, Hyper-V, Azure/AWS virtual machines).
• Experience with automation and orchestration tools (e.g., Ansible, Terraform, PowerShell, Azure CLI).
• Project management skills for cloud transformation and infrastructure initiatives.
Communications/Leadership
• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving abilities.
• Ability to lead network and cloud projects, mentor junior staff, and collaborate with cross-functional teams.
Education/Technology
• Bachelor's degree in Computer Science, Management Information Systems, or a related field.
• Certifications in cloud technologies (e.g., Azure Administrator, AWS Solutions Architect) are highly desirable.
• CompTIA A+ or other IT-related certifications preferred.
Lead Engineer Commercial Office Building
Data engineer job in Pembroke Pines, FL
REPORTS TO: Senior Property Manager
MUST LIVE IN: Pembroke Pines, FL (Or Surrounding Area)
Responsible for ensuring the efficient operation and maintenance of all mechanical, electrical, and plumbing (MEP) systems for the assigned facility. This role includes performing all necessary maintenance and operational tasks to maximize the life, reliability, and performance of the building's MEP systems.
Job Description
· Respond promptly to emergencies (fire, evacuation, equipment failure, etc.) and tenant concerns.
· Assist with or perform the daily operation and maintenance of the building's mechanical, electrical, and plumbing (MEP) systems, as well as general facility maintenance.
· Develop, implement, and maintain a comprehensive preventive and predictive maintenance program, including task scheduling, routines, and performance standards. This program should follow manufacturer recommendations and industry best practices for annual, semi-annual, quarterly, monthly, and other scheduled maintenance.
· Create and maintain building-specific maintenance and safety procedure manuals.
· Perform preventive maintenance tasks such as replacing filters, lubricating motors, changing lamps and ballasts, inspecting and adjusting belts, replacing bearings, aligning shafts, and completing other manufacturer-recommended maintenance activities.
· Continuously recommend improvements to the preventive maintenance program.
· Maintain and update building-specific maintenance procedures as needed.
· Coordinate maintenance activities with outside contractors and service technicians.
· Keep the management team informed of building operations
· Manage inventory and maintain appropriate stock levels of supplies and materials.
· Ensure compliance with all applicable codes, regulations, and company policies, and consistently practice safe work habits.
· Adhere to the Uniform Dress Code and maintain a neat, professional appearance while on the property, including during non-working hours.
KEY COMPETENCIES
· Communication Proficiency (oral and written)
· Organization Skills
· Technical Proficiency
· Decision Making
· Problem Solving/Analysis
IMPORTANT EDUCATION
· High School Diploma or GED Equivalent
· Graduate of apprentice program or trade school preferred
Experience Requirements
Minimum of 5 years of related trade experience operating mechanical, electrical, and plumbing systems in a commercial property environment.
Additional Eligibility Qualifications
· Valid driver's license with a clean driving record; subject to periodic verification.
· Basic computer proficiency, including Outlook, Excel, and Word.
· Hands-on experience with the operation, maintenance, and basic repair of HVAC systems, heaters, pumps, refrigeration equipment, compressors, and water systems.
· Working knowledge of energy management systems, including their operation and optimization.
· Working knowledge in utilizing work order systems
· Comprehensive understanding of building system operations, maintenance practices, and repair procedures.
· Relevant trade licenses or permits-such as Journeyman or Master Electrician, City Licenses, Operator Licenses, or Steam Engineer Licenses-are preferred but not required.
WORK ENVIRONMENT
The portfolio consists of low-rise office properties located in the Plantation and Pembroke areas. An engineer will be assigned a primary building but will not be limited to that location. They will be expected to provide support and backup to other properties as needed and will participate in the shared after-hours on-call rotation with the Midtown engineering team.
The engineer may be the only maintenance staff member on duty and may be required to work extended periods without relief when responding to priority or emergency situations.
Physical Demands
The physical demands outlined below are representative of those required to successfully perform the essential functions of this position:
· Ability to stoop, stand, climb, and frequently lift a minimum of 50 lbs., including equipment such as pumps, tools, and ladders, as well as safely install rigging and lifting devices.
· Regularly required to crouch, bend, and reach to install or move equipment, utilizing proper body mechanics.
· Frequent movement between floors and properties to carry out job responsibilities.
· Clear verbal communication skills to ensure effective interaction with others.
· Ability to read, comprehend, and follow instructions presented both orally and in writing.
Regular use of visual acuity for reading printed materials, technical drawings, and schematics.
BENEFITS:
401K, Health, Dental and Vision, Base Salary + Performance, PTO's
Java Cloud Engineer
Data engineer job in Fort Lauderdale, FL
Job Title: Software Development Engineer II (Platform) - Java Cloud Engineer
Employment Type: Full-time
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:
• Design, develop, and maintain features for our FinTech application using Java 21 and Spring Boot 3.x.
• Write clean, well-documented, and efficient code, focusing on both performance and maintainability.
• Integrate third-party APIs and services to extend the functionality of the application.
2. Collaboration & Teamwork:
• Collaborate with senior engineers and other team members to deliver high-quality software solutions.
• Work closely with Product Managers to understand business requirements and translate them into detailed technical designs and features.
•Participate in code reviews, share best practices, and contribute to a culture of continuous improvement.
3. Testing & Quality Assurance:
• Write unit and integration tests to ensure the quality and stability of the codebase.
• Debug and resolve issues, ensuring that the application runs smoothly and efficiently.
• Participate in ensuring that the software adheres to quality standards and meets regulatory requirements.
4. Continuous Improvement:
• Suggest and implement improvements to the development process, tools, and technologies used by the team.
• Contributes to building a positive, collaborative, and knowledge-sharing environment within the engineering team.
5. Compliance & Security:
• Follow best practices to ensure that the application is secure and compliant with relevant industry regulations.
• Be proactive about identifying and mitigating potential security risks and vulnerabilities in the system.
Requirements:
• Education: Master's or Bachelor's degree in computer science, Information Technology, or a related field.
• Experience: 2-4 years of professional experience in Java 21 with Spring Boot 3.x
•Microservices & APIs: Strong expertise in microservices architecture and RESTful API development.
• Database Management: Hands-on experience with SQL and NoSQL databases. (PostgreSQL, MongoDB, etc.)
•DevOps & Cloud: Familiarity with AWS, GCP, or Azure, and containerization tools like Docker/Kubernetes.
• CI/CD & Version Control: Proficiency in Git and experience working with CI/CD pipelines, SonarQube etc.
• Agile & Collaboration: Experience in Agile development methodologies with excellent problem-solving skills.
• Unit Testing: Proficiency in SonarQube, and automated testing (JUnit, Mockito, PITest).
Preferred Qualifications:
• DevOps Tools: Knowledge of Jenkins, Kubernetes, and other DevOps automation tools.
• Full-Stack Exposure: Familiarity with front-end frameworks like React
• FinTech Experience: Understanding payment systems, transaction processing, and data security in FinTech applications. Awareness of compliance frameworks such as PCI-DSS.
Sr. Applications Support Engineer
Data engineer job in Aventura, FL
We're seeking a Senior Applications Support Engineer who thrives in fast-paced environments and enjoys solving complex technical challenges. This highly visible and impactful role will put you at the center of enterprise operations-your expertise will directly enhance productivity, security, and scalability across the organization.
What You'll Do:
Provide tier 2/3 support for mission-critical applications including Okta, JAMF, Google Workspace, Zoom Enterprise, Zendesk, NetSuite, HubSpot, and others.
Manage identity governance, including SSO, MFA, provisioning, and full user lifecycle management.
Optimize workflows and implement automation using Zapier, APIs, or custom scripts.
Build dashboards, audits, and reports that transform data into actionable insights.
Create and maintain clear documentation, training materials, and lead onboarding sessions for end users.
Collaborate across teams and coordinate with vendors for escalations and feature enhancements.
What We're Looking For:
5+ years of experience in SaaS administration within high-growth or high-performance environments.
Strong expertise in Okta, JAMF, Google Workspace Enterprise, Zoom Enterprise, and other core SaaS platforms.
Proactive troubleshooting, analytical, and communication skills with a customer-focused mindset.
Nice to Have:
Scripting experience (PowerShell, Bash, or Python).
Familiarity with automation tools such as Zapier, Make, or Google Apps Script.
Understanding of compliance frameworks (PCI, HIPAA) and Zero Trust security principles.
Why Join:
Work directly with senior leadership on high-impact initiatives.
Gain exposure to enterprise SaaS strategy, automation, and system integration.
Shape workflows that drive efficiency across the business.
Join a culture that rewards innovation, speed, and operational excellence.
Quantexa Engineer
Data engineer job in Sunrise, FL
Skills : Scala; GCP; ETL - Big Data / Data Warehousing, Quantexa Certified
Responsibilities
Having a good hands-on knowledge of development and configurations of Quantexa modules for batch and realtime entity resolutions.
Quantexa certified professionals.
Required Skills
Skills related to Quantexa development and configurations.
Quantexa Engineer
Data engineer job in Sunrise, FL
Title: Quantexa Engineer
Skills: Scala; GCP; ETL - Big Data / Data Warehousing, Quantexa Certified
Job Details
Having a good hands-on knowledge of development and configurations of Quantexa (***************** modules for batch and realtime entity resolutions. Quantexa certified professionals
Senior Software Engineer (AI Performance)
Data engineer job in Miami, FL
$150,000 - $250,000 + Equity + 401(k) + Medical + PTO + Relocation Support + Clear Progression
Miami, Florida - Fully Onsite (Relocation Offered)
Join a highly profitable AI start-up where you'll take end-to-end ownership of 0-1 AI systems into highly scalable, observable, and reliable platforms that power enterprise AI in production!
This is a rare opportunity to define technical direction from day one, owning 0-1 AI systems and scaling them into enterprise-grade platforms with meaningful equity and high-growth potential!
Backed by top-tier VCs, YC professionals, and AI industry leaders, this early-stage company has achieved strong product-market fit with seven-figure enterprise customers. They are now hiring a Senior Engineer to join a small, elite engineering team, playing a key role in defining how AI systems are built, monitored, and scaled in production.
You'll work onsite in Miami, owning the design and delivery of core internal AI platform tooling that drives quality, reliability, and performance. You'll operate across backend systems (Python/FastAPI), data (PostgreSQL/Supabase), cloud infrastructure, observability, and messaging/telephony, while setting engineering standards and best practices across the platform.
This role is ideal for a senior engineer who wants real ownership, architectural influence, and visible impact, with a clear path toward Staff / Lead as the company scales.
The Person:
* Strong backend Python (FastAPI preferred)
* Deep SQL/PostgreSQL knowledge!
* Proven experience designing and owning production CI/CD pipelines
* Strong background in automated testing and reliability-focused engineering
* Hands-on expertise in observability (logs, metrics, traces)
* Experience building and scaling 0-to-1 systems in fast-moving environments
The Role:
* Lead the design and build of AI platform performance, reliability, and observability tools
* Backend development using Python / FastAPI
* Data layer ownership: PostgreSQL / Supabase
* Platform & Infrastructure: AWS, CI/CD, Terraform / CDK
* Observability ownership: OpenTelemetry, Prometheus, Grafana
Software Engineer
Data engineer job in Fort Lauderdale, FL
**non-negotiables**
MUST BE A US CITIZEN or GREEN CARD HOLDER - no sponsorship or OPT Visa candidates
ROLE IS ONSITE
We are looking for a Software Engineer to build, maintain, and enhance internal software tools and automation systems. This role involves managing projects from initial requirements through development, deployment, and ongoing improvements. The ideal candidate will work closely with a small, experienced team to create robust, scalable software that streamlines internal processes and supports business objectives.
Key Responsibilities
Develop, test, and maintain internal applications and tools that support business operations.
Take ownership of features and technical components from concept to deployment and optimization.
Drive technical projects, ensuring deadlines are met and quality standards are upheld.
Work closely with business teams to convert operational needs into practical technical solutions.
Oversee internal development infrastructure, including software platforms, integrations, and environments.
Identify and resolve technical challenges, bottlenecks, and system issues proactively.
Apply best practices in coding, version control, testing, deployment, and documentation.
Ensure solutions meet internal policies, security requirements, and applicable regulations.
Mentor and support colleagues while contributing to technology planning and process improvements.
Stay up to date with emerging technologies and recommend innovations to enhance internal systems.
Qualifications
3-5 years of hands-on programming experience.
Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
Experience in financial services is a plus.
Knowledge of behavior-driven or test-driven development preferred.
Technical Skills
Node.js
SQL and database management
GIT
RESTful Web Services
HTML/CSS/JavaScript
React.js
AWS or other cloud platforms preferred
Jenkins CI/CD pipelines
Work Environment
Office-based role with occasional travel.
Extended periods at a computer; ability to lift up to 10 pounds.
Regular use of phone and email.
DevOps Engineer
Data engineer job in Boca Raton, FL
We're looking for a Cloud DevOps Engineer to join our DevOps team in supporting and expanding our NG911 solution hosted in Google Cloud Platform (GCP). This role is ideal for someone passionate about automation, infrastructure as code (IaC), and DevOps best practices, with a strong desire to lead efforts in modernizing and managing cloud infrastructure. As part of this position, you'll be responsible for managing and scaling the infrastructure that supports our mission-critical emergency services applications. You'll collaborate with various teams including logging platform engineers, security, and NG911 application developers to understand requirements and deliver robust, scalable, and secure cloud environments.
Software Engineer
Data engineer job in Miami, FL
Software Developer React.js/.Net
06+ Months contract
Need only local to FL!
F2F interview.
We're seeking a skilled Full Stack Developer to join our innovative team. The ideal candidate will excel in creating modern, responsive user interfaces while also being comfortable working with back-end technologies.
Technical Skills Required:
- Expert-level proficiency in React, JavaScript, and TypeScript
- Strong experience with modern front-end build tools (e.g., Webpack, Vite)
- Advanced knowledge of HTML5, CSS3, and CSS preprocessors (Sass/LESS)
- Proficiency in responsive design and mobile-first approaches
- Experience with state management libraries (e.g., Redux, MobX, Recoil)
- Solid understanding of front-end performance optimization techniques
- Familiarity with modern CSS frameworks and methodologies (e.g., Tailwind CSS, CSS Modules)
- Proficiency in Git for version control
- Strong experience with RESTful APIs.
- Working knowledge of C# and .NET 8 framework
- Familiarity with ASP.NET Core for building APIs
- Proficiency with PostgreSQL and database design concepts
- Proficiency with NOSQL database like DocumentDB.-
- Familiarity with CI/CD pipelines, especially Jenkins
- Comfortable using GitHub Copilot for code assistance
Responsibilities:
1. Develop and maintain responsive, interactive user interfaces using React
2. Write clean, efficient, and reusable front-end code using JavaScript and TypeScript
3. Implement and optimize state management solutions for complex applications
4. Create and maintain reusable component libraries and design systems
5. Optimize front-end performance, focusing on load times, rendering, and user interactions
6. Design and implement RESTful APIs using ASP.NET Core
7. Integrate front-end applications with back-end services and databases
8. Contribute to database schema design and write efficient queries
9. Implement automated testing for both front-end and back-end code
10. Participate in code reviews and provide constructive feedback to other developers
11. Collaborate with UX/UI designers to translate designs into high-quality code
12. Work with back-end developers to ensure seamless integration between front-end and back-end systems
13. Stay updated with the latest full-stack technologies, tools, and best practices
14. Troubleshoot and debug issues across the full stack
15. Consider accessibility features in development
The ideal candidate combines a passion for exceptional user experiences with comprehensive full-stack development skills, emphasizing front-end expertise. They should excel in problem-solving, communicate effectively, and thrive in Agile/Scrum environments. This role requires attention to detail, the ability to manage multiple priorities in a fast-paced setting, and a willingness to take end-to-end ownership of features. The right individual will seamlessly blend technical proficiency with a user-centric approach to deliver high-quality solutions.
Network Planning Data Scientist (Manager)
Data engineer job in Miami, FL
Atlas Air is seeking a detail-oriented and analytical Network Planning Analyst to help optimize our global cargo network. This role plays a critical part in the 2-year to 11-day planning window, driving insights that enable operational teams to execute the most efficient and reliable schedules. The successful candidate will provide actionable analysis on network delays, utilization trends, and operating performance, build models and reports to govern network operating parameters, and contribute to the development and implementation of software optimization tools that improve reliability and streamline planning processes.
This position requires strong analytical skills, a proactive approach to problem-solving, and the ability to translate data into operational strategies that protect service quality and maximize network efficiency.
Responsibilities
Analyze and Monitor Network Performance
Track and assess network delays, capacity utilization, and operating constraints to identify opportunities for efficiency gains and reliability improvements.
Develop and maintain key performance indicators (KPIs) for network operations and planning effectiveness.
Modeling & Optimization
Build and maintain predictive models to assess scheduling scenarios and network performance under varying conditions.
Support the design, testing, and implementation of software optimization tools to enhance operational decision-making.
Reporting & Governance
Develop periodic performance and reliability reports for customers, assisting in presentation creation
Produce regular and ad hoc reports to monitor compliance with established operating parameters.
Establish data-driven processes to govern scheduling rules, protect operational integrity, and ensure alignment with reliability targets.
Cross-Functional Collaboration
Partner with Operations, Planning, and Technology teams to integrate analytics into network planning and execution.
Provide insights that inform schedule adjustments, fleet utilization, and contingency planning.
Innovation & Continuous Improvement
Identify opportunities to streamline workflows and automate recurring analyses.
Contributes to the development of new planning methodologies and tools that enhance decision-making and operational agility.
Qualifications
Proficiency in SQL (Python and R are a plus) for data extraction and analysis; experience building decision-support tools, reporting tools dashboards (e.g., Tableau, Power BI)
Bachelor's degree required in Industrial Engineering, Operations Research, Applied Mathematics, Data Science or related quantitative discipline or equivalent work experience.
5+ years of experience in strategy, operations planning, finance or continuous improvement, ideally with airline network planning
Strong analytical skills with experience in statistical analysis, modeling, and scenario evaluation.
Strong problem-solving skills with the ability to work in a fast-paced, dynamic environment.
Excellent communication skills with the ability to convey complex analytical findings to non-technical stakeholders.
A proactive, solution-focused mindset with a passion for operational excellence and continuous improvement.
Knowledge of operations, scheduling, and capacity planning, ideally in airlines, transportation or other complex network operations
Salary Range: $109,500 -148,500
Financial offer within the stated range will be based on multiple factors to include but not limited to location, relevant experience/level and skillset.
The Company is an Equal Opportunity Employer. It is our policy to afford equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, national origin, citizenship, place of birth, age, disability, protected veteran status, gender identity or any other characteristic or status protected by applicable in accordance with federal, state and local laws.
If you'd like more information about your EEO rights as an applicant under the law, please download the available EEO is the Law document at ******************************************
To view our Pay Transparency Statement, please click here: Pay Transparency Statement
“Know Your Rights: Workplace Discrimination is Illegal” Poster
The "EEO Is The Law" Poster
Auto-ApplyData Scientists - All Levels
Data engineer job in Boca Raton, FL
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.
Auto-ApplySenior Java Software Engineer + (Payments Experience)
Data engineer job in Plantation, FL
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