Data engineer jobs in Palm Beach Gardens, FL - 295 jobs

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

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

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

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. Job Description Good Understanding on No SQL Database Minimum 2 years of experience in Cassandra Data Modelling Minimum 2 years of Experience CQL (Cassandra Query Language) Experience in Cassandra Configuration and Administration Strong Experience in Java/Spring Qualifications Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. At least 4 years of relevant experience in Information Technology. Additional Information ** U.S. citizens and those authorized to work in the U.S. are encouraged to apply . We are unable to sponsor at this time.

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

Job Description Why This Role Exists Games generate mountains of data - player behavior, progression curves, economies, feature experiments, live ops events. The challenge isn't collecting it. It's turning it into decisions that make games more fun, more engaging, and more profitable. We're looking for a gaming-savvy data scientist who can uncover player insights, balance competing KPIs, and help shape game design using evidence - not guesswork. If you enjoy digging into player funnels, A/B test results, and economy models to answer “why did players do that?” - you'll fit right in. What You'll Do (Your Day-to-Day in Game Terms) Analyze player behavior, engagement, retention, monetization, and progression across our games Design and maintain dashboards that track live game performance and guide real-time decisions Partner closely with Game Designers, Product, Live Ops, and Game Intelligence teams to embed data into design and operational choices Define and evolve core game KPIs (DAU/MAU, ARPDAU, LTV, churn, conversion, feature performance) Lead A/B tests and experiments to evaluate features, balancing changes, and live ops events Translate complex player data into clear insights and narratives that non-data teammates can act on Help drive a culture where data informs game design - without killing creativity Stay current on game analytics trends, tools, and best practices Nice-to-Haves (a.k.a. “You'll impress us if you bring these”): Building predictive models for churn, LTV, player segmentation, or personalization Advanced statistical modeling or simulation for game economies and feature impact What You Bring to the Table Bachelor's degree in Statistics, Applied Mathematics, Computer Science, or a related field Hands-on experience with A/B testing, experimentation, and feature analysis Strong problem-solving skills and comfort working in ambiguous, real-world game scenarios 4+ years of industry experience in data science, analytics, ML, or predictive modeling (preferred) Experience applying machine learning or AI where it actually adds value (not just because it's cool) Master's degree preferred for senior-level candidates Highly preferred: experience working with online gaming datasets, especially slot or casino-style games Your Analytics Toolkit Data & BI tools: SQL, Snowflake, Tableau, Power BI, Excel Programming & analysis: Python, R, Java, SAS Machine learning & AI platforms: TensorFlow, Azure ML Studio, or similar Strong foundation in statistics, data mining, pattern recognition, and predictive modeling Why Gaming Data Scientists Like This Role Your insights directly influence game design, player experience, and revenue outcomes You'll work alongside designers and product leaders who actually want data at the table You'll analyze live games with real player impact, not abstract datasets You'll help balance the art and science of game development If you love games, think in funnels and cohorts, and enjoy turning player data into smarter design decisions - we'd love to hear from you.

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

Data Scientist / Analytics Lead - Gaming Focus - ONSITE S. Palm Beach County location We are seeking a highly agile Data Scientist to drive real-time insights that directly influence game performance, player behavior, and business decisions. This role requires someone who can think on their feet, connect patterns quickly, and translate data into action in a fast-moving gaming environment. What This Role Does Own game and business KPIs, from definition through ongoing optimization Build and evolve dashboards and analytics used daily by Game Design and Leadership Analyze player behavior, game performance, and experiments (A/B testing) Quickly identify trends, anomalies, and opportunities - and act on them Translate complex data into clear, compelling stories that drive decisions Partner closely with Game Designers, Product, and Management in a rapid-iteration environment What We're Looking For Strong analytical instincts and the ability to problem-solve independently Comfort working with incomplete or evolving data Experience influencing decisions, not just reporting numbers Bachelor's degree in Statistics, Applied Math, Data Science, or related field Proficiency with SQL, Tableau or Power BI, Excel, and Python or R Experience with A/B testing and performance measurement Nice to Have Experience with predictive modeling, machine learning, or AI Familiarity with gaming or online player data (slots a plus) Experience with Snowflake and modern data stacks Master's degree for senior-level candidates Why This Role Is Different This is not a back-office analytics role. Success requires speed, curiosity, and judgment - someone who can spot patterns fast, ask the right questions, and influence outcomes in real time. Laurie Roth President/Sr. Consultant DSN-IT ************ ************* ************** ****************************************************

Voloridge Investment Management was founded by David Vogel in 2009 and is based in Jupiter, FL. We incorporate advanced data science and mathematics into our systematic, market neutral investment strategies to exploit alpha opportunities we consider unique in financial markets. Our firm is comprised of award-winning predictive modelers, experienced data analysts, advanced technologists, and a group of dynamic business professionals. The Lead Market Data Engineer will provide leadership to a team of software and data engineers. The team is responsible for designing, building, maintaining, and supporting streaming data feed handlers and pipelines in support of ongoing company initiatives. The mission critical data produced by the team's solutions is consumed by our data scientists, researchers, and trading systems. The Lead Market Data Engineer will be a real-time streaming data feed handler and pipeline construction expert, with high standards for software performance, reliability, extensibility, maintainability, and team productivity. Summary of Job Functions Technical Leadership * Lead a team of software and data engineers in technical design and coding * Guide best practices for products and processes * Mentor junior team members * Design, build, and support new real-time streaming data feed handlers and other data pipeline solutions * Maintain, enhance, and support existing streaming data feed handlers and other data pipeline solutions * Ensure that designs are performant, scalable, maintainable, extensible, secure, and not overly engineered * Master existing tech stacks * Participate in software design, architectural discussions, and code reviews * Contribute to design documentation * Understand the various Agile SDLC ceremonies and common tools * Stay abreast of emerging technologies, make relevant recommendations, and participate in technology modernization projects Collaboration * Foster effective collaboration with other engineering teams, analysts, and stakeholders * Work with Project Managers and stakeholders to document functional requirements and translate them into design specifications * Participate in intern and permanent hire screening and interview processes * Participate in intern guidance and mentorship Operational Support * Help establish best practices for product instrumentation and monitoring * Contribute to operational documentation * Support deployments * Communicate effectively with data vendors * Participate in an on-call rotation involving triage and resolution of mission critical systems * Mentor junior engineers in operational support Minimum Requirements * 7+ years of experience as a data/backend engineer * 5+ years of experience designing, building, and supporting real-time streaming financial market data feed handlers and distributors * Extensive experience leading development and supporting of mission critical low-latency streaming feed handlers and distributors * Advanced skills in one or more of these programming languages: C++, C#, Python * Experience leading teams of 3 or more data engineers * Experience working with data vendors and/or exchanges troubleshooting issues * Strong understanding of Agile SDLC best practices, ceremonies, and tools * Strong understanding of source control concepts and common tools * Strong initiative, collaboration, accountability, impartiality and communication * Bachelor's degree in Computer Science, Information Systems, related discipline, or equivalent experience * Be able to work daily onsite in our Jupiter, FL office Preferred Skills and Experience * Experience writing historical and incremental ETL/ELT data pipelines involving external data sources * Experience writing containerized solutions * Experience using Python libraries such as Polars, PyArrow, or DuckDB * Experience with cloud-based data management solutions such as Snowflake, Redshift * Experience with open-source database engines such as Clickhouse, ArcticDB, PostGreSQL * Experience writing and performance tuning TSQL queries and stored procedures * Experience using SQL Server productivity tools such as Red Gate, SentryOne, or Spotlight * Experience with Change Data Capture solutions * Experience writing design documentation such as ERDs, Data Flow Diagrams, Process Flow Diagrams * Experience writing operational documentation such as Run Books * Understanding of service-oriented architectures, multi-threaded, asynchronous programming models, and NUMA memory management * Understanding of relational and dimensional data modeling concepts * Understanding of DevOps concepts, such as unit tests and CI/CD pipelines Compensation and Benefits * Highly competitive base salary * Profit sharing bonus * Health, dental, vision, life, and disability insurance * 401K Voloridge Investment Management is an SEC registered investment advisor and an Equal Opportunity Employer. All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristic or status.

Job Description You're inquisitive. Statistics fascinate you. You enjoy digging into information to understand the real story. You have a knack for recognizing trends and you like translating data for a larger team. Hello Data Engineer! Join us. The Data Engineer supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. He/She implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. The Data Engineer constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. He/she utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. The Data Engineer collaborates with stakeholders to understand their needs, objectives, and requirements. Job Responsibilities Data Analysis: Collect, analyze, and compile data from multiple sources to create comprehensive and informative reports SQL Mastery: Develop, optimize, and troubleshoot complex SQL queries for efficient data extraction and transformation Report Creation: Design and maintain visually compelling report templates and dashboards using Power BI, Tableau, or advanced Excel Collaborative Engagement: Partner with the CIO and department heads to understand reporting needs and translate them into actionable insights Data Quality Assurance: Ensure the accuracy, consistency, and reliability of all reports through thorough validation and documentation practices Process Enhancement: Continuously refine and streamline reporting processes for maximum efficiency and timely delivery Leadership and Influence: Coach, mentor, and develop team members directly and indirectly Job Qualifications 7+ years as a Report Writer, Data Analyst, or in a similar role focused on report development is required Must possess advanced skills in writing, optimizing, and troubleshooting complex SQL queries Must have strong experience with data visualization tools (e.g., Power BI, Tableau, or equivalent software) with the ability to extrapolate and make recommendations or decisions Must have advanced knowledge of MS Excel, including pivot tables, VLOOKUPs, and data modeling A Bachelor's degree in Computer Science, Data Science, Business Analytics, or a related field is ideal A strong analytical mindset, attention to detail, problem-solving capabilities, and excellent written and verbal communication is ideal Familiarity with business intelligence best practices; knowledge of data governance is required Compensation: Salary, Performance-Based Bonus, Comprehensive Benefits Package. Final compensation will be determined based on experience and skills and may vary from the range listed above. *************************************** Valuetainment is proud to be an Equal Opportunity Employer. Our hiring practices provide equal opportunity for employment without regard to race, religion, color, sex, gender, national origin, age, United States military veteran's status, ancestry, sexual orientation, marital status, family structure, medical condition including genetic characteristics or information, veteran status, or mental or physical disability so long as the essential functions of the job can be performed with or without reasonable accommodation, or any other protected category under federal, state, or local law. Powered by JazzHR 3qRJdTJqCE

WHO ARE WE? Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState. As The Discovery and Conversion Company, our mission is to connect consumers with the world's leading brands through data-driven content and technology. Headquartered in South Florida with a remote-first team spanning over 15 countries, we've built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success. WHY JOIN US? At Launch Potato, you'll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers. MUST HAVE: 5+ years of experience in data engineering within fast-paced, cloud-native environments Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto) Experience building and managing scalable ETL pipelines and data lake infrastructure Familiarity with distributed systems, Spark, and data quality best practices Strong cross-functional collaboration skills to support BI, analytics, and engineering teams EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations. YOUR ROLE Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato's analytics and business intelligence infrastructure fuels strategic growth. OUTCOMES Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows Serve as the internal point of contact for reporting infrastructure-delivering ad hoc data analyses and driving consistent data integrity Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support Contribute to the future of Launch Potato's data team by mentoring peers and shaping a high-performance, quality-first engineering culture COMPETENCIES Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering TOTAL COMPENSATION Base salary is set according to market rates for the nearest major metro and varies based on Launch Potato's Levels Framework. Your compensation package includes a base salary, profit-sharing bonus, and competitive benefits. Launch Potato is a performance-driven company, which means once you are hired, future increases will be based on company and personal performance, not annual cost of living adjustments. Want to accelerate your career? Apply now! Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

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

High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously High School Diploma or equivalent The ability to fluently read, write, understand and communicate in English 3 years of relevant experience, medical device industry or equivalent industry experience is preferred Preferred Requirements: Demonstrable expertise in algorithm development, including, coding, algorithm testing, algorithm validation, and preparing algorithm module for integration into product software / code-base Good working knowledge in ML algorithm development using image-based data and image processing is desirable Ability to conduct experiments to collect data and/or to support algorithm development Advanced expertise in software and other applications used by data scientist for algorithm development Aptitude for problem-solving, strong learning agility, and demonstrable ability to collaborate with other quantitative partners Exceptional written and verbal communication skills including the ability to collaborate effectively with multidisciplinary teams Well-developed organizational skills and the ability to manage several projects simultaneously

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: The IT Business Process Analyst is responsible for driving process optimization, service quality, and operational excellence across the IT organization. This role applies ITIL, Lean, and Six Sigma methodologies to streamline workflows, eliminate waste, reduce variability, and enhance the overall performance of IT services. Serving as a key interface between IT and business units, the analyst ensures IT services are predictable, standardized, customer-focused, and continuously improved. The ideal candidate has strong analytical capabilities, exceptional communication skills, and a proven ability to transform complex operational challenges into measurable, repeatable solutions. Key Responsibilities: Service Management & Process Optimization (ITIL) • Evaluate and improve IT processes across the ITIL service lifecycle (Incident, Request, Problem, Change, Asset, Knowledge). • Conduct end-to-end process mapping, gap analysis, and workflow redesign to ensure consistency and adherence to ITIL best practices. • Drive Continual Service Improvement (CSI) initiatives, including the development of KPIs, performance baselines, and trend analysis. • Align IT processes with business outcomes to improve service reliability, responsiveness, and stakeholder satisfaction. • Develop and maintain IT process documentation, SOPs, and service catalogs. Lean & Six Sigma-Based Efficiency Improvements • Apply Lean principles to identify and eliminate waste, improve cycle time, and increase throughput in IT workflows. • Use Six Sigma tools (e.g., SIPOC, fishbone, Pareto, RCA, DMAIC) to resolve recurring quality issues and reduce incident variability. • Conduct root cause analysis (RCA) and drive corrective/preventive action plans (CAPA). • Support automation and digitization of manual tasks using workflow automation tools. Cross-Functional Collaboration & Business Partnership • Act as a liaison between IT and business units to capture requirements, understand process pain points, and improve service alignment. • Facilitate collaboration between service owners, technical teams, and business stakeholders. • Communicate process changes, service updates, and improvement initiatives clearly and effectively. • Support business readiness, training, and change adoption for new or updated IT processes. Quality Control & Service Performance • Implement quality assurance checks for IT processes, service requests, onboarding/offboarding, and vendor interactions. • Monitor service performance through KPIs, OKRs, dashboards, and SLA reports. • Develop visibility tools for leadership, including performance metrics, trend reports, and continuous improvement insights. • Ensure process compliance with regulatory and audit requirements (HIPAA, HITRUST, PCI, SOC2). IT Operations Support & Governance • Oversee IT ticket queue governance to ensure prioritization and SLA adherence. • Maintain and optimize IT asset management processes (hardware, software, licenses). • Support change management by assisting with impact assessments, communication, and validation steps. • Assist in vendor and contract management activities to support procurement, invoicing, and performance tracking. Qualifications: Required • Bachelor's degree in IT, Business, Engineering, or related field, or equivalent experience. • 2-4 years in IT operations, service management, or process analysis role. • Experience with ITIL frameworks, Lean methodologies, or continuous improvement practices. • Familiarity with ITSM tools (Jira, ServiceNow, Cherwell, Freshservice). • Strong analytical, process mapping, and documentation skills. • Proficiency in Microsoft 365 (Excel, Teams, SharePoint). Preferred • ITIL Foundation certification (or higher). • Lean Six Sigma Yellow or Green Belt certification. • Experience developing KPIs, dashboards, and performance metrics. • Knowledge of automation tools such as Power Automate, Jira Workflows, ServiceNow workflows, or scripting fundamentals. • Experience in regulated industries (healthcare, finance, or insurance). Soft Skills • Strong written and verbal communication skills. • Detail-oriented with excellent organizational and follow-through abilities. • Ability to work effectively with both technical and non-technical teams. • Strength in facilitating meetings, workshops, and collaborative problem-solving sessions. • Continuous improvement mindset with a proactive approach to surfacing and solving problems.

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

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

Purpose Brands, the parent company of Orangetheory, Anytime Fitness, Waxing the City, The Bar Method, and Basecamp Fitness, is seeking a Data Engineer II to join its team. This is a great position for someone who is looking to expand their career, and join a company with a fun, fast-paced and inspirational culture. We are seeking a highly skilled and motivated Data Engineer III to join our dynamic data team. You will specialize in our ERP-related data landscape, taking ownership of core processes and datasets. In this pivotal role, you will be instrumental in designing, developing, and maintaining our core data infrastructure, particularly building scalable, efficient ERP data models that drive essential business functions in Finance and Operations. As a senior member of the team, you will work with a high degree of autonomy, leading moderately complex projects and establishing timelines and priorities for your work. While this role does not involve direct people management, you will be a crucial mentor and guide for more junior team members, fostering a culture of technical excellence and continuous improvement. We are looking for a well-rounded data professional who is not only technically proficient but also a strong communicator and collaborator, capable of bridging the gap between complex ERP data and business stakeholder needs. JOB RESPONSIBILITIES ERP Data Ownership & Modeling ERP Data Pipeline Management: Own, maintain, and optimize all data pipelines and datasets originating from our core ERP systems. Ensure data quality, integrity, and timely delivery of mission-critical financial and operational data. Core Data Model Development: Lead the design, implementation, and maintenance of scalable, robust, and secure data pipelines using ETL/ELT best practices. Specialized Data Modeling: Transform and optimize large, complex datasets into well-structured, efficient data models tailored to business needs, with a specific emphasis on operational and financial reporting structures. Subject Matter Expertise: Develop a deep domain understanding of the company's ERP business processes (e.g., financial operations, franchise management platforms), acting as the go-to expert for data-related questions and initiatives in this landscape. Project Leadership & Collaboration Project Autonomy: Independently manage and lead moderately complex data engineering projects, identifying technical gaps, proposing solutions, and taking ownership from conception to deployment with minimal direct supervision. Stakeholder Partnership: Work closely with Finance, Operations, and business stakeholders to understand their data requirements, proactively driving and leading technical discussions to define clear data architecture solutions. Operational Excellence: Monitor, troubleshoot, and optimize data pipelines to ensure high performance and reliability. Understand and consider the cost implications associated with your technology choices and architectural designs. Process Management: Maintain clear and up-to-date project status in Jira and effectively communicate progress to Technical Project Managers and team leads. Technical Guidance & Standards Mentorship: Act as a technical leader and mentor to junior engineers. Provide guidance through code reviews, training, and sharing best practices to elevate the team's skills. Documentation & Governance: Champion and contribute to our documentation culture by creating and maintaining high-quality technical documentation. Help establish and enforce data engineering best practices, including data security, privacy, and governance protocols. REQUIRED QUALIFICATIONS & EXPERIENCE Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics) or equivalent professional experience. 5+ years of experience building and maintaining large-scale data pipelines in a cloud environment. 5+ years of direct experience designing, implementing, and maintaining data pipelines for Enterprise Resource Planning (ERP) systems. Proven expertise in writing highly optimized, efficient SQL and experience with complex data modeling. Strong domain expertise and proven data modeling experience in core ERP domains, such as Financial Operations (e.g., management accounting) or Franchise Management. Demonstrated experience working in big data environments and processing large volumes of data. A strong understanding of data warehousing concepts and architecture. COMPETENCIES Technical Depth & Innovation: Proficient at your technology and domain. Able to quickly pick up new technologies/processes. Expertise to identify technical gaps and work on recommended solutions. Autonomy & Ownership: Works independently with little direct supervision; solves problems of diverse scope; establishes work priorities and timeline for the team. Accountable for successful project delivery. Data Modeling: Ability to translate complex source data into clean, performant, and reliable core data models suitable for enterprise consumption. Collaboration & Influence: Excellent communication skills with the ability to convey complex technical models and concepts to non-technical business stakeholders. Proactively drives discussions and technical direction within assigned projects. Mentorship & COE Adherence: Acts as a technical mentor and guide for junior resources on product-specific knowledge. Executes work in adherence with data engineering best practices and proactively guides others in adopting these standards. OUR TECHNOLOGY STACK Proficiency or experience in the following technologies is highly desirable: Data Warehouse: Snowflake Data Transformation: dbt (data build tool) Cloud Programming: Python (not required) Cloud Services: Amazon Web Services (AWS) Version Control: GitHub Project Management & Documentation: Jira, Confluence Bonus Skills: Familiarity with the Microsoft Azure ecosystem. What's in it for you? We offer a competitive salary along with exceptional benefits such as: Medical, Dental and Vision Coverage Hybrid Work Environment Life and Disability Insurance Unlimited Time off + Paid Holidays Fridays off between Memorial Day and Labor Day 401(K) Savings Plan Matching at 4% 10 Coaching and Therapy sessions Mental Health Benefits Brand Discounts & Reimbursements In-house workout facilities Professional Development Opportunities Team Building, Employee Engagement Activities & so much more WORK SCHEDULE Purpose Brands LLC, currently observe the following hybrid work model for employees at our Boca Raton (FL), Woodbury (MN), and Seattle (WA) offices: Remote optional: Wednesdays and Fridays On-site days: Mondays, Tuesdays, and Thursdays DIVERSITY, EQUITY, AND INCLUSION STATEMENT Purpose Brands is committed to encouraging, facilitating, and upholding an environment centered on diversity, equity, and inclusion across every facet of the Purpose Brands. We will work to create a sustainable culture that supports a healthy space for learning and growing, valuing, and empowering every employee, inspiring a diverse franchise network, and uplifting the members and communities we serve. EEO STATEMENT Purpose Brands provides equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Discrimination of any type will not be tolerated.

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

14392 - Data Engineer (onsite) - Juno Beach, FL Estimated Duration: 12+ months with possible extensions Work Setting: 100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client. Only candidates able to relocate as required should apply to avoid removal from future consideration. Required: • Availability working 100% of the time at the Client's site in Juno Beach, FL. • Experience as a Data Engineer / Data Analyst (3+ years) • Experience with Python for data manipulation and analysis • Experience with data cleaning, transformation, and feature engineering • Experience with SQL databases including PostgreSQL, MySQL, BigQuery, and Snowflake • Experience with data visualization tools such as Matplotlib, Seaborn, Plotly, Power BI, or Tableau • Experience with statistical methods and data analysis fundamentals • Experience working with APIs and external data sources. Preferred: • Experience with Python (3.x) • Experience with Python libraries such as Pandas, NumPy, and Scikit-learn • Experience with development environments and notebooks including Jupyter and VS Code • Experience with version control systems such as Git and GitHub • Experience with cloud platforms including AWS, Azure, and GCP • Experience with data orchestration and processing tools such as Airflow, dbt, and Spark (basic exposure) • Experience with containerization tools such as Docker • Hands-on experience with Machine Learning models including regression, classification, clustering, and time series • Experience with Large Language Models (LLMs) and Generative AI • Experience working with OpenAI and Azure OpenAI APIs • Experience with prompt engineering techniques • Experience with embeddings and vector databases such as FAISS, Pinecone, and Chroma • Experience with Natural Language Processing (NLP) or text analytics • Experience with MLOps fundamentals including model versioning and monitoring Responsibilities : • Clean, preprocess, and transform structured and unstructured data using Python • Perform exploratory data analysis (EDA) to uncover insights and trends • Build reusable data pipelines and feature engineering workflows • Work with SQL and/or cloud-based data warehouses to extract and prepare data • Collaborate with stakeholders to translate business problems into data-driven solutions • Develop and maintain analytical models and dashboards • Apply basic to intermediate machine learning techniques where applicable • Experiment with and support LLM-based solutions (prompting, embeddings, APIs) as needed • Ensure data quality, reliability, and documentation Why apply? • Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company; • Work with a great team of professionals and learn newest technologies and approaches; • Enjoy our Client's wonderful campus with top-notch facilities for work and recreation; • Benefit from multiple projects extensions; • Receive support and advice from Vitaver consultants who are already working at our Client's site; • Get extra cash by participating in Vitaver Successful Completion Bonus Program; • Always get paid in full and on time.