Data engineer jobs in Pompano Beach, FL

Sr. Lead Data Scientist Hybrid: 3 Days Onsite Each Week Compensation: $67/Hour W2 Our client is seeking a business-focused Data Scientist who combines strong technical expertise with the ability to drive meaningful impact across the organization. This role centers on building predictive models, developing machine learning solutions, and partnering closely with business stakeholders to solve real-world problems and create automated, scalable processes. Key Responsibilities Develop and deploy predictive models, including forecasting, optimization, and advanced analytics to support business decision-making. Design, build, and validate machine learning algorithms, including feature engineering, model selection, and performance tuning. Collaborate with business partners to understand challenges, translate requirements into analytical solutions, and deliver insights that support strategic decisions. Create automated analytical processes and workflows that enhance operational efficiency across the organization. Conduct data exploration and analysis using SQL, ensuring strong understanding of relational databases, data merging, and data quality. Work within an Agile development environment, collaborating with cross-functional teams. Utilize platforms such as Databricks to build and deploy new models in a modern data ecosystem. Communicate complex analytical concepts to non-technical stakeholders in a clear and actionable manner. Required Qualifications Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline). Hands-on experience with Python and/or R for modeling, analytics, and machine learning. Strong experience working with cloud ecosystems (AWS, Azure, or GCP) with clients who already have cloud infrastructure in place. Proficiency in SQL for querying, data exploration, and working with relational databases. Demonstrated ability to solve business problems using a combination of data science expertise, coding skills, and statistical/mathematical knowledge. Strong business acumen with the ability to see how a problem fits into larger organizational objectives. Excellent communication skills and comfort interfacing directly with business teams. Experience with Databricks (highly preferred). Preferred Qualifications Professional certifications related to data science, cloud technologies, or machine learning. Experience in both enterprise and startup environments. Not Looking For This is not a Data Engineering role. This role does not involve NLP as a primary function.

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.

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.

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.

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.

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.

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

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

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

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)

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

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 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: AI Strategist / AI Architect (AWS AI Expert) Type: Contract We are seeking a senior AI Strategist/Architect with deep expertise in AWS (or GCP) AI/ML services, Generative AI, and enterprise-grade cloud AI architectures. The ideal candidate will drive AI strategy, design scalable solutions, and guide customers through end-to-end AI adoption. Key Responsibilities: Architect scalable AI/ML and GenAI solutions using AWS/GCP (LLMs, RAG, autonomous agents, MLOps). Serve as a technical advisor to executive and engineering stakeholders. Build reference architectures, workshops, and demos for modern AI patterns. Lead AI best practices across teams and mentor internal AI/ML experts. Support customer adoption from POC to production, ensuring cloud best practices. Act as liaison between customers and engineering teams for successful deployments. Required Qualifications: Bachelor's degree in CS/Engineering or related field. 10+ years in AI/ML, including deep learning and Generative AI experience. Strong expertise in cloud AI architecture (AWS preferred). Experience deploying enterprise-grade AI systems at scale. Strong communication skills with technical and executive stakeholders. Solid foundation in ML algorithms, statistics, data modeling, and MLOps. Preferred: Cloud certifications (AWS Solutions Architect, ML, etc.) Master's degree or published work in AI/ML Experience in large-scale enterprise consulting or cloud migrations

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.

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

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.

$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

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