Software engineer jobs in Coconut Creek, FL

$150,000 - $250,000 + 401(k) + Medical + PTO + Equity + Relocation Support + Progression Miami, Florida - Fully Onsite Do you have strong backend engineering experience and want to join a well-funded AI start-up where you can own high-impact, technically fascinating 0→1 platform development? This is a rare chance to join a VC-backed team on a mission to become Miami's AI leader, offering huge autonomy, a high-performance culture, and unlimited career growth. Backed by $50M in funding, YC professionals, and AI visionaries, this early-stage startup has proven product-market fit and seven-figure customers. They're seeking a software developer to join their high-impact, close-knit team, where you'll help shape the future of enterprise AI from the ground up! You'll join a small, high-impact development team onsite in Miami, taking ownership of building cutting-edge internal AI tools that drive quality, reliability, and performance. You'll work across backend (Python/FastAPI), data (Supabase/PostgreSQL), cloud platforms, observability, and messaging/telephony. You will be able to make meaningful impact from day one! This is the perfect opportunity for an ambitious developer looking to make a significant impact within a rapidly growing startup, with excellent long-term career prospects! The person: * Strong Python experience ( FastAPI preferred) * Strong SQL skills; hands-on PostgreSQL schema design * Looking to join an early well-funded AI Start-up * Able to build 0-1 systems quickly with full ownership! * Happy to be onsite in Miami downtown 5 days a week. The role * Take ownership in building new AI platform performance tools that drive quality and reliability. * Backend - Python (FastAPI) * Data - PostgreSQL / Supabase * Platform : CI/CD / AWS / Terraform/ CDK * Observability: OpenTelemetry / Prometheus / Grafana * Fully onsite in Miami working alongside a highly skilled team!

Sr. Data Engineer CLIENT: Fortune 150 Company; Financial Services SUMMARY DESCRIPTION: The Data Engineer will serve in a strategic role designing and managing the infrastructure that supports data storage, transforming, processing, and retrieval enabling efficient data analysis and decision-making within the organization. This position is critical as part of the Database and Analytics team responsible for design, development, and implementation of complex enterprise-level data integration and consumption solutions. It requires a highly technical, self-motivated senior engineer who will work with analysts, architects, and systems engineers to develop solutions based on functional and technical specifications that meet quality and performance requirements. Must have Experience with Microsoft Fabric. PRIMARY DUTIES AND RESPONSIBILITIES: Utilize experience in ETL tools, with at least 5 years dedicated to Azure Data Factory (ADF), to design, code, implement, and manage multiple parallel data pipelines. Experience with Microsoft Fabric, Pipelines, Mirroring, and Data Flows Gen 2 usage is required. Apply a deep understanding of data warehousing concepts, including data modeling techniques like star and snowflake schemas, SCD Type 2, Change Data Feeds, Change Data Capture. Also demonstrates hands-on experience with Data Lake Gen 2, Delta Lake, Delta Parquet files, JSON files, big data storage layers, optimize and maintain big data storage using Partitioning, V-Order, Optimize, Vacuum and other techniques. Design and optimize medallion data models, warehouses, architectures, schemas, indexing, and partitioning strategies. Collaborate with Business Insights and Analytics teams to understand data requirements and optimize storage for analytical queries. Modernize databases and data warehouses and prepare them for analysis, managing for optimal performance. Design, build, manage, and optimize enterprise data pipelines ensuring efficient data flow, data integrity, and data quality throughout the process. Automate efficient data acquisition, transformation, and integration from a variety of data sources including databases, APIs, message queues, data streams, etc. Competently performs advanced data tasks with minimal supervision, including architecting advanced data solutions, leading and coaching others, and effectively partnering with stakeholders. Interface with other technical and non-technical departments and outside vendors on assigned projects. Under the direction of the IT Management, will establish standards, policies and procedures pertaining to data governance, database/data warehouse management, metadata management, security, optimization, and utilization. Ensure data security and privacy by implementing access controls, encryption, and anonymization techniques as per data governance and compliance policies. Expertise in managing schema drift within ETL processes, ensuring robust and adaptable data integration solutions. Document data pipelines, processes, and architectural designs for future reference and knowledge sharing. Stay informed of latest trends and technologies in the data engineering field, and evaluate and adopt new tools, frameworks, and platforms (like Microsoft Fabric) to enhance data processing and storage capabilities. When necessary, implement and document schema modifications made to legacy production environment. Perform any other function required by IT Management for the successful operation of all IT and data services provided to our clients. Available nights and weekends as needed for system changes and rollouts. EDUCATION AND EXPERIENCE REQUIREMENTS: Bachelor's or Master's degree in computer science, information systems, applied mathematics, or closely related field. Minimum of ten (10) years full time employment experience as a data engineer, data architect, or equivalent required. Must have Experience with Microsoft Fabric SKILLS: Experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets using traditional and modern data integration technologies (such as ETL, ELT, MPP, data replication, change data captures, message-oriented data movement, API design, stream data integration and data virtualization) Experience working with cloud data engineering stacks (specifically Azure and Microsoft Fabric), Data Lake, Synapse, Azure Data Factory, Databricks, Informatica, Data Explorer, etc. Strong, in-depth understanding of database architecture, storage, and administration utilizing Azure stack. Deep understanding of Data architectural approaches, Data Engineering Solutions, Software Engineering principles and best practices. Working knowledge and experience with modern BI and ETL tools (Power BI, Power Automate, ADF, SSIS, etc.) Experience utilizing data storage solutions including Azure Blob storage, ADLS Gen 2. Solid understanding of relational and dimensional database principles and best practices in a client/server, thin-client, and cloud computing environment. Advanced working knowledge of TSQL and SQL Server, transactions, error handling, security and maintenance with experience writing complex stored procedures, views, and user-defined functions as well as complex functions, dynamic SQL, partitions, CDC, CDF, etc. Experience with .net scripting and understanding of API integration in a service-oriented architecture. Knowledge of reporting tools, query language, semantic models with specific experience with Power BI. Understanding of and experience with agile methodology. PowerShell scripting experience desired. Experience with Service Bus, Azure Functions, Event Grids, Event Hubs, Kafka would be beneficial. Experience working in Agile methodology. Working Conditions: Available to work evenings and/or weekends (as required). Workdays and hours are Monday through Friday 8:30 am to 5:30 pm ET.

JOB TYPE: Full-time SALARY: DOE BrainWorks is currently seeking a Senior Frontend React Developer for an AI-driven digital wellness platform. In this role, you'll design the human-AI interface - crafting a visually stunning, emotionally intelligent UI that connects users with advanced conversational technology. The right candidate is both technical and empathetic, blending front-end engineering excellence with design sensitivity. KEY RESPONSIBILITIES Architect and build a modern React-based application with complex real-time functionality. Develop conversational and audio-driven interfaces using WebSockets and dynamic state management. Collaborate with UX/UI and backend teams to deliver elegant, responsive experiences. Optimize application speed, performance, and accessibility across devices. Maintain high coding standards through documentation, testing, and reviews. REQUIRED QUALIFICATIONS 5+ years of professional experience in React development. Expert in JavaScript (ES6+), HTML5, and CSS3. Experience integrating REST APIs and WebSocket communication. Strong understanding of modern React architecture, hooks, and state management. Experience building real-time or streaming applications. Bachelor's degree in Computer Science or related field. NICE-TO-HAVE: Experience with TypeScript, Framer Motion, or advanced animation libraries. Knowledge of testing frameworks (Jest, React Testing Library). Familiarity with Azure Static Web Apps or similar deployment environments. Interest in designing interfaces for AI or virtual-assistant technologies. DISCLAIMERS In accordance with applicable federal, state, and local pay transparency and fair hiring laws, the target annual base salary range for this position is $125,000 - $145,000. Final compensation will be determined based on several factors, including but not limited to relevant experience, education, skills, qualifications, internal equity, and work location. This position may also be eligible for additional forms of compensation as well as a comprehensive benefits package provided by the hiring employer. Benefits may include medical, dental, vision, life insurance, disability coverage, 401(k) or retirement plan, paid time off, and other employee programs. We are committed to providing equal employment opportunities to all qualified applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. All hiring decisions are made by the hiring employer, which is expected to comply with all applicable federal, state, and local employment laws and verification requirements. BrainWorks complies with all applicable employment laws and encourages employers to provide reasonable accommodations for qualified individuals with disabilities throughout the application and employment process. Position ID: **********0

Job Title: Senior React Frontend Developer Job Type: Direct Hire Position Overview: We're seeking an experienced React Frontend Developer with a strong command of React, React Native, and TypeScript to build and enhance our web and mobile platforms. This role goes beyond standard front-end development - you'll be working within a custom React-based framework, requiring a deep understanding of React's core architecture, rendering behavior, and lifecycle management. The ideal candidate has 5+ years of experience developing and architecting complex front-end solutions, with the ability to extend frameworks, optimize performance, and design maintainable, scalable component structures. You'll collaborate closely with product, UX, and backend teams to deliver seamless, performant, and visually consistent user experiences for our workforce management platform and mobile kiosk applications. Key Responsibilities Design, develop, and optimize modern, responsive UIs using React (web) and React Native (mobile). Contribute to and extend our custom React-based framework, leveraging deep knowledge of React internals (virtual DOM, reconciliation, Fiber architecture, rendering lifecycle). Architect and implement clean, scalable state management using Redux, Flux, or equivalent patterns. Translate legacy React class components and lifecycle methods into modern Hooks-based implementations. Build reusable component libraries and utilities using TypeScript, ensuring strong type safety and maintainability. Diagnose and resolve complex rendering and performance issues across platforms. Participate in code reviews, share best practices, and mentor junior engineers. Collaborate with designers, product managers, and backend teams to deliver high-quality, user-centered features. Required Qualifications 5+ years of hands-on experience with React and 2-3 years with React Native. Deep understanding of React internals - including virtual DOM, reconciliation, and component lifecycle. Strong proficiency with TypeScript and modern JavaScript architecture patterns. Proven experience extending or customizing frameworks or internal libraries. Expertise in state management (Redux, MobX, or similar). Skilled in performance optimization, debugging, and front-end architecture. Solid grasp of responsive and accessible design principles. Familiarity with Git, CI/CD, and RESTful API integration. Preferred Qualifications Experience with custom Hooks, context-based architecture, and render optimization techniques. Exposure to React Fiber concepts and concurrent rendering. Familiarity with testing frameworks (Jest, Detox, Cypress) and mobile deployment pipelines. Experience integrating third-party SDKs (analytics, maps, push notifications). Previous work in hybrid environments with Android or backend engineers. Employment Eligibility: Gravity can only consider U.S. citizens or Green Card Holders at this time.

Mercor is seeking software engineers to support one of the world's leading AI labs in building **robust, high-performance systems** that serve the needs of next-generation machine learning applications. This role involves **real-world engineering work**-including environment configuration, database design, and the creation of scalable APIs and service layers that interface with advanced AI models. * * * **You are good fit if you:** - **Have experience using coding agents** as part of your software engineering workflow. - Have 3+ years of elite software engineering experience from top-tier technology startups, quantitative trading firms, hedge funds, or similarly demanding environments. - Hold a Computer Science degree from a prestigious university. - Have demonstrated success leading teams to build complex database schemas. - Possess expert-level proficiency in API development, including creation, testing, and integration. - Are highly skilled in SQL and database structuring. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * **About the Role** - This project will be a high-impact 24-hour sprint that will start in the next 1-2 weeks - This role would offer a task-based pay (top performers in the previous iteration made upwards of $1000 in the sprint) * * * **Compensation and Legal Details** - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * **About Mercor** Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Flybridge Staffing is currently searching for a Senior Backend Software Engineer for a client located in the North Beach area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This engineer will be responsible for implementing and managing mission critical applications and services between multiple different platforms that stem from proven data science methodologies. Summary: Lead the design, development, and deployment of cloud-based applications, ensuring scalability, reliability, and exceptional user experience Solve hard technical challenges, with empirically grounded solutions, like designing backend systems to support mobile and web applications with large numbers of concurrent users Design and implement robust software architectures that support advanced data processing and innovative end user features Work closely with data scientists, product managers, QA and UX/UI designers to translate complex data into intuitive, actionable insights for users Create documentation and diagrams to communicate designs and system capabilities to technical and non-technical audiences Debug and optimize new and existing applications, and maintain high levels of test coverage Minimum Requirements Minimum of 10 years of experience in software development, demonstrating proficiency in building scalable full stack applications Bachelor's degree preferred Strong experience/knowledge of Python and C# (Rust is nice to have) Experience with Service Oriented Architectures is a must. (SOA) Proficiency with Azure and/or AWS cloud services and understanding of cloud architecture principles 5+ yrs of cloud-based Kubernetes or Docker container experience Experience with databases, and using SQL to write queries to create business functionality and troubleshoot bugs Experience building APIs (e.g., REST, gRPC) to enable secure and performant data access and integration across our products Strong experience with designing, developing, and deploying scalable Microservices and API-driven architecture patterns Experience with developing business functionality using SQL Server and/or ClickHouse database technologies. Experience developing streaming data systems, including using services like: Azure Event Hub/Kafka, Azure Functions, Redis. Experience in unit test development on an existing codebase and TDD/BDD methodologies. Familiarity with financial data and or healthcare data highly desired. ****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP. Follow us on LinkedIn to keep up with all our latest job openings and referral program.

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 Engineer (Azure-Focused) Miami, FL (Mid Town) We're looking for a mid-level Data Engineer who can help us build and maintain reliable data pipelines, transform and organize data, and support analytics teams as we continue growing our Azure environment. This is a great opportunity for someone with strong SQL/Python and ETL experience who wants to deepen their cloud skills in Azure. What You'll Do Build and maintain ETL/ELT data pipelines that move and transform data from various internal systems. Work with Azure Data Factory (or similar ETL tools) to orchestrate workflows. Develop and maintain data structures in SQL databases and Azure Data Lake. Collaborate with analytics, product, and operations teams to deliver clean, reliable datasets. Optimize pipelines for performance, reliability, and scalability. Implement basic data quality checks, monitoring, and documentation. Assist in data modeling for reporting and analytics use cases. Support the transition of legacy ETL workloads into Azure-based solutions. What We're Looking For 3-5 years of experience in Data Engineering, ETL development, or database engineering. Strong SQL experience (joins, CTEs, performance tuning). Python experience for data transformation or automation. Experience with any major cloud platform (Azure preferred; AWS/GCP OK). Exposure to Azure Data Factory, Databricks, or Synapse is a plus. Experience with data lakes, warehouses, or BI data modeling. Understanding of data quality, testing, and version control (Git). Nice to Have (Not Required) Experience migrating ETL pipelines into Azure. Databricks or Spark experience. Power BI or other reporting tools. Azure certifications (DP-203, DP-900). Why This Role Real growth pathway into a full Azure Data Engineer title. Build modern pipelines while learning deeper Azure tools. Work closely with leadership and influence the data stack. Collaborative, high-impact environment with tons of ownership.

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.

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Principal Software Engineer, Data Architecture Overview: Mastercard's Data & Analytics is seeking a visionary and results-oriented Senior Principal Software Engineer, Data Architecture to lead the design and evolution of Mastercard's enterprise data architecture. This foundational technical role is responsible for defining how data is collected, organized, governed, and distributed across Mastercard's global infrastructure. Reporting to the EVP of Data & Analytics, this engineer will shape architectural frameworks and standards that drive product innovation, operational excellence, and regulatory compliance across a hybrid cloud environment. The Mastercard's Data & Analytics organization is undergoing a bold transformation to modernize our global data ecosystem-unlocking value through secure, scalable, and compliant data capabilities. Role: Data Architecture Strategy & Execution • Lead the design and execution of Mastercard's enterprise data architecture across a complex, global ecosystem. • Drive modernization from legacy and on-prem systems to modern, cloud-native, and hybrid data platforms. • Architect scalable, secure data solutions that meet evolving regulatory requirements (e.g., ISO 20022, data localization, GDPR). • Create reusable, domain-oriented data models that promote consistency, interoperability, and self-service across business units. • Define and implement architectural patterns supporting both real-time and batch data processing across relational and non-relational systems. • Champion adoption of modern data principles including Data Mesh, data products, and federated governance. Governance, Alignment & Agile Integration • Serve as a key technical leader on the Data & Analytics Architecture Review Board to ensure alignment across programs and domains. • Collaborate with Mastercard's Architecture, Security, and Engineering organizations to embed data architecture into enterprise-wide standards. • Apply Agile methodologies to data architecture initiatives, enabling iterative delivery, rapid feedback, and cross-functional collaboration. • Represent Data & Analytics in enterprise architecture councils, steering committees, and executive planning forums. Cross-Functional Leadership & Mentorship • Lead and scale technical excellence by mentoring engineers, architects, and technical experts across distributed systems, cloud platforms, and data modeling. • Act as a trusted advisor to business, product, and engineering leaders-bridging technical strategy with enterprise priorities. • Build relationships and communicate effectively with internal and external stakeholders, including senior executives, to influence data-driven strategies and decisions. All About You: • Proven experience as a Senior Principal Engineer or equivalent in enterprise data architecture, data engineering, or data platform strategy. • Deep expertise in building and modernizing distributed data platforms using technologies such as Apache Spark, Kafka, Flink, NiFi, and Cloudera/Hadoop. • Hands-on proficiency with modern data platforms and tools including Databricks, Snowflake, Delta Lake, and Redshift. • Experienced in designing and operating real-time and batch data pipelines in hybrid and cloud-native environments (AWS, Azure, GCP). • Knowledge of Data Mesh principles, federated governance, and data product lifecycle management. • Experience working in Agile environments, leveraging modern delivery practices like Scrum, SAFe, or product-centric models. • Track record of leading large-scale data transformations and platform modernization initiatives in regulated industries such as Payments, Fintech, or Banking. • Understanding of card data flows, merchant ecosystems, and frameworks including ISO 20022 and data localization mandates. • Demonstrated ability to influence technical and business decisions at all levels, including C-suite stakeholders. • Strong executive presence with the ability to translate complex architecture concepts into business language. • Experience mentoring and leading global, cross-functional teams of high-performing technical talent. • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field required. This role is not eligible for Mastercard's work authorization sponsorship. As such, candidates must be eligible to work in the United States, now as well as in the future, without employer sponsorship. #LI-NF1 Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges Arlington, Virginia: $230,000 - $368,000 USD Boston, Massachusetts: $230,000 - $368,000 USD Miami, Florida: $200,000 - $320,000 USD Purchase, New York: $230,000 - $368,000 USD

About the Company - We are seeking a Lead Salesforce Engineer to design, develop, and manage Salesforce application enhancements, providing technical guidance to the team while aligning with business goals. About the Role - The ideal candidate will have: 9+ years of Salesforce customization experience, with at least 3 years in a leadership role. Strong expertise in APEX, Visualforce, LWC, CPQ, and integrating Salesforce with external applications (e.g., NetSuite). Proficiency in SOAP/REST API, SOQL/SOSL, and Salesforce Clouds (Sales, Service, CPQ, Experience). Experience in managing large data volumes and implementing performance optimizations to support business scalability. Expertise in conducting code reviews, ensuring best practices, and resolving production issues. Strong knowledge of SDLC, Agile, and SCRUM methodologies. Excellent communication and leadership skills to guide and mentor team members and ensure business needs are met. We are seeking a Lead Salesforce Engineer to design, develop, and manage Salesforce application enhancements, providing technical guidance to the team while aligning with business goals. The ideal candidate will have: 9+ years of Salesforce customization experience, with at least 3 years in a leadership role. Strong expertise in APEX, Visualforce, LWC, CPQ, and integrating Salesforce with external applications (e.g., NetSuite). Proficiency in SOAP/REST API, SOQL/SOSL, and Salesforce Clouds (Sales, Service, CPQ, Experience). Experience in managing large data volumes and implementing performance optimizations to support business scalability. Expertise in conducting code reviews, ensuring best practices, and resolving production issues. Strong knowledge of SDLC, Agile, and SCRUM methodologies. Excellent communication and leadership skills to guide and mentor team members and ensure business needs are met. Preferred Certifications: Salesforce Platform Developer I/II, CPQ, and JavaScript Developer I. Additional certifications in Salesforce Sales Cloud, Service Cloud, or Experience Cloud are a plus.

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

Job Role: Senior AI QE Engineer Client : Florida Power & Light Company Visa Status - US Green Card or Citizen Job Description: Role Summary We are looking for a Senior AI Quality Engineer with strong automation expertise and hands-on experience validating LLMs, GenAI workflows, and AI-driven applications. This role involves building automated test suites, validating AI outputs, ensuring system reliability, and contributing to the quality strategy for next-generation AI features. Core Experience 6-10 years as a Software Engineer, SDET, or Automation Engineer. Strong coding skills in Python, TypeScript, or Java. Hands-on experience developing automation scripts, tools, or frameworks. Practical experience using LLMs, prompt engineering, and evaluating AI-generated outputs. Familiarity with agentic AI systems and exposure to tools like LangGraph, AutoGen, or CrewAI. Basic understanding of Model Context Protocol (MCP) or context-aware workflow automation (nice to have). AI / ML Technologies Practical experience with AI/ML frameworks: LangChain, Hugging Face, GPT models, vector databases, RAG pipelines. Experience with ML/DL libraries such as: Scikit-learn, PyTorch, TensorFlow, Keras, Transformers, OpenCV. Ability to work with embeddings, similarity search, and content evaluation metrics. GenAI & AI Agent Development Ability to integrate or build GenAI components, including RAG pipelines or agent-based workflows. Support model evaluation tasks such as: Output quality checks Hallucination detection Prompt validation Regression checks for model updates Automation & Quality Engineering Experience building automation using Python, PyTest, Selenium, Playwright, or API testing libraries. Ability to design and execute automated tests for: Functional Integration API Basic performance & reliability testing Hands-on experience testing RESTful APIs and building automated API suites. Cloud, DevOps & CI/CD Exposure to deploying AI or automation solutions on AWS. Working knowledge of CI/CD pipelines, including: Automated testing Model validation steps Versioning & artifact management

Job Title: Senior Lead DevOps Engineer Duration: 1 Year (Renewable - looking for long term) We are seeking a Senior Lead DevOps Engineer to lead the design and implementation of end-to-end CI/CD, SRE, and observability frameworks across hybrid cloud environments. This role will drive modernization of the software delivery lifecycle, enhance reliability, and improve deployment automation for mission-critical systems. Responsibilities Lead the design, automation, and implementation of CI/CD pipelines across multiple environments. Collaborate with cross-functional teams to deliver DevOps strategies and best practices. Implement observability and SRE frameworks using tools such as Grafana, Prometheus, DataDog, and Kibana. Define infrastructure automation using Terraform or Ansible for both on-prem and cloud-native environments. Manage DevOps governance, security, and compliance with RBAC and identity management solutions. Ensure high availability, resilience, and monitoring of production systems. Mentor junior DevOps engineers and establish operational excellence standards. Requirements 8+ years of experience in DevOps, CI/CD, and SRE practices. Deep expertise with Jenkins, GitLab CI/CD, Azure DevOps, GitHub Actions, or Bamboo. Strong knowledge of cloud technologies (AWS, Azure, or GCP). Hands-on experience with observability tools (Grafana, Prometheus, DataDog, Kibana). Proven experience designing and implementing API Management solutions (Apigee, Kong, Microsoft APIM). Proficiency with Infrastructure as Code (Terraform, Ansible). Familiarity with SDLC governance, version control, and automation pipelines. Strong problem-solving and collaboration skills in enterprise environments. Certifications Required: AWS Certified DevOps Engineer - Professional OR Azure DevOps Engineer Expert Preferred: Kubernetes Administrator (CKA), Terraform Associate, ITIL Foundation, DevOps Foundation Additional Notes Candidate must have proven leadership in DevOps transformation. Excellent communication skills in English; Portuguese preferred.

We are currently recruiting a contract for a 6-month contract located in Ft. Lauderdale, FL. This is an on-site position within the Information Technology and Services industry. Position offers a competitive rate. Please forward your updated resume for immediate consideration Skills: Angular, Core Java, UI Design, JavaScript, JSSE (Java Secure Socket Extension), Financial Industry Job Description Minimum 8 10 years overall At least 7 years of experience in Core Java Strong experience with Angular Framework Proficient in UI design patterns and front-end architecture Scripting expertise: JavaScript, XSLT, and ANT Familiarity with JSSE (Java Secure Socket Extension) for encryption Solid understanding of Agile development methodology Experience working on high availability, high usage applications

$150,000 - $250,000 + 401(k) + Medical + PTO + Equity + Relocation + Career Growth Miami, Florida - Onsite Opportunity for a strong backend engineer to accelerate their technical growth by working with modern, forward-leaning technologies inside an AI-native startup. This role offers the chance to build 0→1 systems, deepen your expertise across Python, FastAPI, cloud infrastructure, and scalable architectures, and establish a long-term career within a company built from the ground up around AI innovation. Backed by major investors and supported by respected leaders across the tech landscape, this forward-thinking start-up is on track to become Miami's flagship AI organisation. You'll work with cutting-edge technologies while collaborating with some of the brightest minds shaping the future of AI. Within this elite engineering team, you will help build an AI-driven SaaS platform designed to deploy next-generation conversational AI into the mainstream. The tech stack includes (but is not limited to): React, TypeScript, Tailwind, Python, FastAPI, AWS, DevOps, and more! Be part of a tight-knit, high-performing group at the forefront of bringing voice-enabled AI products to market! The person: Strong Python development experience (FastAPI) Solid SQL skills; hands-on PostgreSQL Highly motivated to learn Thrives in a fast-paced startup setting Genuine passion for AI Comfortable building 0-1 systems with full ownership The role: Take ownership of building an AI-powered SaaS platform that deploys voice AI agents Frontend: React, TypeScript, Tailwind Backend: Python (FastAPI) Database: PostgreSQL, Edge Functions Cloud & DevOps: AWS, CI/CD Collaborate closely with a small, high-calibre engineering team Fully onsite in Miami, working alongside world-class talent

Job Title: Sr Data Engineer Type: Direct Hire Unfortunately, we are not able to sponsor work visas or accept candidates on temporary work authorizations (e.g., H1B, CPT, OPT, etc.) for this role. Due to federal regulations and contractual requirements, we are only able to consider applications from U.S. Citizens and Green Card holders (permanent residents) and at this time we cannot sponsor or transfer a work visa. We are an equal opportunity employer and comply with all applicable laws regarding non-discrimination. Company Overview: The Senior Data Engineer will play a pivotal role in building and maintaining scalable, reliable, and high-performance data pipelines and enterprise analytics infrastructure. This role is ideal for someone who thrives in a collaborative environment, enjoys mentoring others, and wants to drive innovation in data engineering across the organization. Your Responsibilities on the Team Lead the design and implementation of scalable, high-performance data architectures that support diverse data sources, including structured, semi-structured, and unstructured data. Architect and build data pipelines that can process and analyze large-scale datasets in real-time and batch modes. Mentor and guide junior data engineers in best practices, code quality, and technical skills, fostering a culture of continuous learning. Ensure the reliability, efficiency, and security of data pipelines by implementing monitoring, alerting, and automated recovery mechanisms. Collaborate with cross-functional teams, including data scientists, analysts, and product managers, to align data solutions with business needs and goals. Lead the adoption of new technologies and tools that enhance the data engineering capabilities of the team. Oversee the development of data models, schemas, and data marts that enable efficient data analysis and reporting. Implement data governance frameworks, including data lineage, metadata management, and data quality standards. Your Toolbox Bachelor's degree in Computer Science, Information Technology, Management Information Systems, or a related field. 6+ years of experience in data engineering or a related role, with demonstrated success in delivering enterprise-scale data solutions. Proficient in SQL, with the ability to write complex queries, perform query optimization, and conduct performance tuning. Experience with cloud data warehouses like Snowflake, Databricks, and understanding of their appropriate use cases. Strong programming skills in Python or Java, with experience in data processing frameworks (e.g., Apache Spark, Hadoop). Experience with cloud platforms (AWS, Azure, GCP) and administration, such as AWS Redshift, Azure Synapse, or Google BigQuery. Proficiency with big data technologies, including Hadoop, Spark, Kafka, and HBase, with experience in distributed data processing. Expertise with data orchestration tools, such as MWAA/Airflow, for scheduling and managing data workflows. Experience with reporting tools such as Power BI and Tableau is a plus. Understanding of data security practices, including encryption, access controls, and data masking. Familiarity with cloud administration tools and frameworks such as AWS, dbt, Qlik Replicate, Tableau, and Snowflake is preferred.

Flybridge Staffing is currently searching for a Data Engineer for a client located in the Palm Beach Gardens area. This is a direct-hire position that will work off a hybrid schedule of 2 days remote. This person will design systems that supply high-performance datasets for advanced analytics. Experience: BA degree and 5+ years of Data Engineering experience Strong experience building ETL data pipelines for on-premises SQL Server 2017 or newer Deep understanding of the development of data pipelines with either SSIS or Python Broad experience with SQL Server, including Columnstore, etc. Extensive experience using SSMS and T-SQL to create and maintain SQL Server tables, views, functions, stored procedures, and user-defined table types. Experience with data modeling indexes, Temporal tables, CLR, and Service Broker. Experience in partitioning tables and indexes, and performance improvement with Query Analyzer Experience writing C#, PowerShell, and Python. Experience with source control integration with GitHub, BitBucket, and Azure DevOps. Experience working in an Agile and Kanban SDLC. Experience with cloud-based data management solutions such as Snowflake, Redshift. Experience with Python programming is a plus. Libraries such as Pandas, Numpy, csv, Traceback, JSON, PyODBC, Math-Are nice to have. Experience writing design documentation such as ERDs, Data Flow Diagrams, and Process Flow Diagrams. Experience with open-source database engines such as Clickhouse, ArcticDB, and PostGreSQL is a plus. Responsibilities: Collaborate effectively with Stakeholders, Project Managers, Software Engineers, Data Analysts, QA Analysts, DBAs, and Data Engineers. Build and maintain data pipelines based on functional and non-functional requirements. Proactively seek out information and overcome obstacles to deliver projects efficiently. Ensure that data pipelines incorporate best practices related to performance, scaling, extensibility, fault tolerance, instrumentation, and maintainability. Ensure that data pipelines are kept simple and not overly engineered. Produce and maintain design and operational documentation. Analyze complex data problems and engineer elegant solutions. ****NO SPONSORSHIP AVAILABLE**** US Citizen, GC, EAD only please. If your background aligns with the above details and you would like to learn more, please submit your resume to jobs@flybridgestaffing.com or on our website, www.flybridgestaffing.com and one of our recruiters will be in touch with you ASAP. Follow us on LinkedIn to keep up with all our latest job openings and referral program.

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. Position Summary: We are seeking a seasoned EDI 837 Claims Data Engineer to design, develop, and maintain data pipelines that process healthcare claims in compliance with HIPAA and ANSI X12 standards. This role requires deep expertise in Electronic Data Interchange (EDI), particularly the 837-transaction set, and will be pivotal in ensuring accurate, timely, and secure claims data exchange across payers, providers, clearinghouses, state agencies, and CMS. Key Responsibilities EDI Development & Integration Design, build, and maintain pipelines for processing 837 healthcare claim transactions. Implement and support EDI workflows across multiple trading partners. Ensure compliance with HIPAA regulations and ANSI X12 standards. Data Engineering Develop ETL processes to transform, validate, and load claims data into enterprise data warehouses. Optimize data flows for scalability, reliability, and performance. Collaborate with analysts and stakeholders to ensure claims data accuracy. Write and optimize SQL queries, stored procedures, and scripts for validation and reporting. Monitoring & Troubleshooting Monitor EDI transactions for errors, rejections, and compliance issues. Troubleshoot and resolve data mapping, translation, and connectivity problems. Perform root cause analysis and implement corrective actions. Collaboration Work closely with business analysts, QA teams, and IT operations to support claims processing. Partner with healthcare domain experts to align technical solutions with business needs. Required Skills & Qualifications 5+ years of experience in healthcare data engineering or claims integration. Strong expertise with EDI 837 transactions and healthcare claims processing. Proven experience with Medicaid and Medicare data exchanges between state agencies and CMS. Hands-on experience with Databricks, SSIS, and SQL Server. Knowledge of HIPAA compliance, CMS reporting requirements, and interoperability standards. Strong problem-solving skills and ability to work in cross-functional teams. Excellent communication and documentation skills. Preferred Skills Experience with Azure cloud platforms Familiarity with other EDI transactions (835, 270/271, 276/277). Exposure to data governance frameworks and security best practices. Background in data warehousing and healthcare analytics.