Senior data scientist jobs in Alafaya, FL

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

DPR Construction is seeking a skilled Senior Data Scientist to help advance our data-driven approach to building. In this role, you'll use statistical analysis, machine learning, and data visualization to turn complex construction and business data into actionable insights that improve project planning, cost forecasting, resource management, and safety. Working with project and operations teams, you'll build and deploy scalable, secure data solutions on cloud platforms like Azure and AWS, driving innovation and operational excellence across DPR's projects. Responsibilities * Data analysis and modeling: Analyze large datasets to identify trends, bottlenecks, and areas for improvement in operational performance. Build predictive and statistical models to forecast demand, capacity, and potential issues. * Develop and deploy models: Build, test, and deploy machine learning and AI models to improve operational processes. * Analyze operational data: Examine data related to projects, production, supply chains, inventory, and quality control to identify patterns, trends, and inefficiencies. * Optimize processes: Use data-driven insights to streamline workflows, allocate resources more effectively, and improve overall performance. * Forecast and predict: Create predictive models to forecast outcomes, such as demand, and inform strategic decisions. * Communicate findings: Present findings and recommendations to stakeholders through reports, visualizations, and presentations. * Ensure reliability: Build and maintain reliable, scalable, and efficient data science systems and processes. * Collaboration: Partner with project managers, engineers, and business leaders to ensure data solutions are aligned with organizational goals and deliver tangible improvements. * Continuous Learning: Stay current with advancements in data science and machine learning to continually enhance the company's data capabilities. * Reporting and communication: Create dashboards and reports that clearly communicate performance trends and key insights to leadership and other stakeholders. Translate complex data into actionable recommendations. * Performance monitoring: Implement data quality checks and monitor the performance of models and automated systems, creating feedback loops for continuous improvement. * Experimentation: Design and evaluate experiments to quantify the impact of new systems and changes on operational outcomes. Qualifications * Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or a related field. * 7+ years of experience in data science roles within AEC, product or technology organizations. * At least 4 years of experience working with cloud platforms, specifically Azure and AWS, for model deployment and data management. * Strong proficiency in Python or R for data analysis, modeling, and machine learning, with experience in relevant libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and NLP frameworks (e.g., GPT, Hugging Face Transformers). * Expertise in SQL for data querying and manipulation, and experience with data visualization tools (e.g., Power BI, Tableau). * Solid understanding of statistical methods, predictive modeling, and optimization techniques. * Expertise in statistics and causal inference, applied in both experimentation and observational causal inference studies. * Proven experience designing and interpreting experiments and making statistically sound recommendations. * Strategic and impact-driven mindset, capable of translating complex business problems into actionable frameworks. * Ability to build relationships with diverse stakeholders and cultivate strong partnerships. * Strong communication skills, including the ability to bridge technical and non-technical stakeholders and collaborate across various functions to ensure business impact. * Ability to operate effectively in a fast-moving, ambiguous environment with limited structure. * Experience working with construction-related data or similar industries (e.g., engineering, manufacturing) is a plus. Preferred Skills * Familiarity with construction management software (e.g., ACC, Procore, BIM tools) and knowledge of project management methodologies. * Hands-on experience with Generative AI tools and libraries. * Background in experimentation infrastructure or human-AI interaction systems. * Knowledge of time-series analysis, anomaly detection, and risk modeling specific to construction environments. 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 ********************

We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place. Job Description Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Qualifications Qualifications · Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.) · At least 2 years' of experience in quantitative analytics or data modeling · Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms · Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have. · Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks) Additional Information Responsibilities · Analyze raw data: assessing quality, cleansing, structuring for downstream processing · Design accurate and scalable prediction algorithms · Collaborate with engineering team to bring analytical prototypes to production · Generate actionable insights for business improvements tion will be kept confidential according to EEO guidelines.

USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers. Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services. Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps. USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness. Job Description Data Scientist. Orlando, FL Full Time Position Need GC and USC This person will be responsible for conducting analyses of complex and varied healthcare and other data to demonstrate the value of new technology implementations and process improvements to create business insights that drive decision-making. Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning techniques to develop insights that will optimize cost and patient outcomes. Top 3 skills: Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R. Background in Statistics/applied research 2+ years' experience working in a healthcare environment Masters or PhD (preferred PhD) Additional Information If you are interested please share your resume to preethib@usmsystems(dot)com or can directly call me on ************

The Opportunity The Center for Behavioral Health Research and Training (CBHRT) within the College of Health Professions and Sciences (CHPS) invites applications for a 12-month non-tenured Biostatistician who will provide statistical expertise and support for various clinical research projects focused on health and wellness. Key responsibilities include contributing to the study, design, and analytic plans for clinical trials, research projects, and grant proposals, conducting advanced and complex statistical analyses, interpreting research findings, and preparing manuscripts and technical reports. This role requires a strong background in biostatistics, data analysis, and the ability to work collaboratively with researchers from our various departments and schools, including the School of Social Work (SSW), the School of Communication Sciences and Disorders (CSD), the Department of Health Sciences (DHS), and the School of Kinesiology and Rehabilitation Sciences (KRS) which includes physical therapy and athletic training. The position is assigned to the main Orlando campus with a projected start date of Fall 2026. CHPS is home to three schools, one department, and six centers and institutes and is a leader in creating positive community changes by building partnerships that transcend traditional disciplinary boundaries. The college is a core member of the UCF Academic Health Sciences Center along with the existing College of Nursing and College of Medicine. UCF is a metropolitan research university built to make a better future for our students and society. We solve tomorrow's greatest challenges through a commitment to academic, inclusive and operational excellence. Leveraging innovative learning, discovery and partnerships, we foster social mobility while developing the skilled talent needed to advance industry for our region, state and beyond. UCF is committed to innovative community partnerships, world-class research with local impact, and the integration of technology and learning. For more information about our college, please visit the College of Health Professions and Sciences website. Minimum Qualifications: Ph.D. in Biostatistics, Statistics, or a similar field. Candidates who are nearing completion of their Ph.D. are encouraged to apply (Ph.D. required by the start of appointment). Knowledge of research design, statistical design, analysis, and programming techniques utilized in clinical research. Experience with statistical programming and use of statistical computer packages (e.g., SPSS, SAS, Stata, R, Python, JASP). Demonstrated skill in ability to work in a team environment and to simultaneously work on multiple research projects and tasks (e.g., designing studies, analyzing data, report research project findings). Excellent interpersonal, written/oral communication, organizational, and time management skills. Ability to effectively communicate statistical analytic plans and the interpretation of methods and results in written and verbal formats suitable to broad audiences. Preferred Qualifications: Successful track record in securing extramural funding in the role of Biostatistician. Preferred 3+ years' experience in experimental design and statistical support to allied health professionals conducting biomedical, behavioral, and health-related research. Experience creating and implementing clinical trial protocols. Familiarity with REDCap or similar data management systems. Knowledge of and/or experience in conducting meta-analyses/systematic reviews, qualitative research, and/or mixed methods approaches. Proficiency in data visualization techniques and software (e.g., BioRender, Tableau, ggplot2). Experience with big data analytics and handling large-scale datasets. Familiarity with health informatics and electronic health record (EHR) data analysis. Additional Application Materials Required: UCF requires all applications and supporting documents to be submitted electronically through the Human Resources employment opportunities website, ************************** In addition to the online application, candidates should upload: Letter of application outlining how you are prepared to join the faculty at UCF highlighting research experience and other qualifications for the position. Curriculum Vitae. Reference list (including the names and contact information from at least three professional references, not reference letters). The selected candidate will be required to submit official transcripts (and, as applicable, U.S. degree equivalency evaluations) documenting the conferral of their qualifying academic credentials. NOTE: Please have all documents ready when applying so they can be simultaneously uploaded. Once the online submission process is finalized, the system does not allow applicants to submit additional documents later. Questions regarding this search should be directed to: Dr. Kim Gryglewicz, search committee chair, at **************** Special Instructions to the Applicants: N/A Job Close Date: Open until filled Note to applicants: Please keep in mind that a job posted as ‘ Open until filled ' may close at any time without notice. As such, we encourage you to submit your application and all required documentation as quickly as possible to ensure consideration for the posted position. Are you ready to unleash YOUR potential? As a next-generation public research university and Forbes-ranked top employer in Florida, we are a community of thinkers, doers, creators, innovators, healers, and leaders striving to create broader prosperity and help shape a better future. No matter what your role is, when you join Knight Nation, you'll play an integral role at one of the most impactful universities in the country. You'll be met with opportunities to connect and collaborate with talented faculty, staff, and students across 13 colleges and multiple campuses, engaging in impactful work that makes a positive difference. Your time at UCF will provide you with many meaningful opportunities to grow, you'll work alongside talented colleagues on complex projects that will challenge you and help you gain new skills and you'll have countless rewarding experiences that go well beyond a paycheck. Working at UCF has its perks! UCF offers: Benefit packages, including Medical, Dental, Vision, Life Insurance, Flexible Spending, and Employee Assistance Program. Paid time off, including annual (12-month faculty) and sick time off and paid holidays. Retirement savings options. Employee discounts, including tickets to many Orlando attractions. Education assistance. Flexible work environment. And more…For more benefits information, view the UCF Employee Benefits Guide click here. Unless explicitly stated on the job posting, it is UCF's expectation that an employee of UCF will reside in Florida as of the date the employment begins. Additional Requirements related to Research Positions: Pursuant to Florida State Statute 1010.35, prior to offering employment to certain individuals in research-related positions, UCF is required to conduct additional screening. Applicants subject to additional screening include any citizen of a foreign country who is not a permanent resident of the U.S., or who is a citizen or permanent resident but is affiliated with or has had at least 1 year of education, employment, or training in China, Cuba, Iran, Russia, North Korea, Syria, or Venezuela. The additional screening requirements only apply to research-related positions, including, but not limited to faculty, graduate positions, individuals compensated by research grants or contract funds, postdoctoral positions, undergraduate positions, visiting assistant professors, and visiting research associates. Department College of Health Professions and Sciences (CHPS) - School of Social Work Work Schedule Varies Type of Appointment Regular Expected Salary Negotiable As a Florida public university, the University of Central Florida makes all application materials and selection procedures available to the public upon request. UCF is proud to be a smoke-free campus and an E-Verify employer. If an accommodation due to a disability is needed to apply for this position, please call ************ or email ************. For general application or posting questions, please email **************.

Launch Your Career with Cook Systems Since 1990, Cook Systems-a certified veteran-owned IT consulting firm-has been helping businesses and professionals grow through innovation, integrity, and investment in people. We partner with Fortune 500 enterprises and high-growth companies alike to deliver agile technology solutions, AI-driven talent strategies, and our signature FastTrack program that develops the next generation of tech talent. At Cook, you'll find a culture that values excellence, creativity, and accountability. We believe in opportunity backed by trust-and in building careers that last. Check out what our team members have to say on our Glassdoor page, and discover why Cook Systems is where meaningful careers take off! Summary: Responsible for analyzing and developing complex logical database designs and data models, supporting corporate and customer information system requirements. The role involves understanding data flow methodologies within technology systems and business functions, resolving information flow issues, and transforming business requirements into logical data models. Responsibilities: Analyze and develop complex logical data models and relational data definitions. Understand and depict the flow of data between technology systems and business operations. Identify and resolve information flow and content issues. Transform business requirements into logical data models. Identify opportunities to reduce data redundancy and trends in data usage. Design logical data models of low to medium complexity. Work on small to large, complex projects as a team member or project lead. Coach and mentor more junior technical staff. Qualifications: Bachelor's Degree in Computer Science, Information Systems, or related field, or equivalent work experience. Minimum 4 years of IT work experience in data modeling, data analysis, and relational DBMS design. Experience supporting projects in multiple technical environments. Proven ability to work on complex projects, independently and as part of a team. #L1-Onsite Why Work with Us At Cook Systems, we don't just offer jobs-we build futures. Our people are at the heart of everything we do, and we're committed to supporting you with benefits that deliver real security, flexibility, and growth from day one. Your Health, Your Way: Choose from two comprehensive medical plans through Blue Cross Blue Shield, with dental and vision coverage included. With access to one of the nation's largest provider networks, you'll have quality care wherever life takes you. Peace of Mind: Protect what matters most with life, critical illness, and accident insurance through Unum-because your family's security matters. Flexibility for Life: Plan ahead and save with a Flexible Spending Account and Daycare FSA through Navia, helping you manage healthcare and dependent-care expenses your way. Extra Protection When You Need It: Our Health Gap Insurance through Sun Life helps cover unexpected costs, so you're never caught off guard. Your Future Starts Now: Build your future with our 401(k) plan through The Standard. You're eligible after just six months-because long-term success deserves a strong foundation. At Cook Systems, you're not just an employee-you're part of a team that values ideas, celebrates results, and grows together. Here, your impact is visible, your contributions are valued, and your career has room to thrive. Ready to be part of something bigger? Let's build the future together at Cook Systems. #IND1 #LI-CS1

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills * 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion * Experience with a variety of GenAI models, tools, and concepts * 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) * 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub * 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 * Multiple years of experience with ELT/ETL data pipeline development and maintenance * Multiple years of shown experience and expertise using SQL and Python * Experience using containerization technologies such as Docker or Kubernetes * Knowledgeable on cloud architecture and product offerings, preferably AWS * Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms * Experience translating project scope and high-level requirements into technical data engineering tasks * Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes * Experience collaborating with multiple project teams in a fast-paced environment * Experience with defining and estimating level-of-effort data engineering activities * Experience with project and sprint planning * Ability to communicate technical concepts and solutions to non-technical team members * Experience designing and building data structures to support requirements * Preferred Qualifications * Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies * Experience defining GenAI architectures * Knowledgeable with Disney Parks attendance, reservations and/or products * Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 * Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education * Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience * Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** About The Walt Disney Company (Corporate): At Disney Corporate you can see how the businesses behind the Company's powerful brands come together to create the most innovative, far-reaching and admired entertainment company in the world. As a member of a corporate team, you'll work with world-class leaders driving the strategies that keep The Walt Disney Company at the leading edge of entertainment. See and be seen by other innovative thinkers as you enable the greatest storytellers in the world to create memories for millions of families around the globe. About The Walt Disney Company: The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. This position is with Disney Worldwide Services, Inc., which is part of a business we call The Walt Disney Company (Corporate). Disney Worldwide Services, Inc. is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, religion, color, sex, sexual orientation, gender, gender identity, gender expression, national origin, ancestry, age, marital status, military or veteran status, medical condition, genetic information or disability, or any other basis prohibited by federal, state or local law. Disney champions a business environment where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a constantly evolving world. Apply Now Apply Later Current Employees Apply via My Disney Career Explore Location

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions. You Will -Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors -Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed -Contribute to data architecture and strategy for our core education analytics product development. -Build for the scalability of a turnkey solution. -Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management. -Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements -Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights. -Continually refine models and/or reports and analyze results. -Utilize a core management consulting skill set including business analysis, project management, and process analysis. -Work with managing director(s) to successfully deliver to clients -Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests You Have -2-3 years of data engineering experience, preferably with consulting experience OR in an education institution -Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization -Experience with large enterprise level data environments and working with 1B+ record data sets -Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning -Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports -Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management Extras we are looking for -Experience in Education Analytics, either in a research or professional role -Excellent written and verbal communication skills -Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis) -Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred

Employment Type: FTE Level: Experienced/Sr. Level GENERAL DESCRIPTION & RESPONSIBILITIES As a Sr. Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices. Key Responsibilities: Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools. Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data. Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms. Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks. Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization. Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks. Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders. Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem. Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed. PLACEMENT CRITERIA & REQUIREMENTS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. DESIRED SKILLS Bachelors in Computer Science, Engineering, or related discipline (Master's preferred). 5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure. Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices. Advanced knowledge of Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI. Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB). Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud. Excellent communication, project leadership, and stakeholder management skills. NON-TECHNICAL SKILLS Communication Clear and effective verbal and written communication for both technical and non-technical audiences Confident presentation skills, including the ability to explain complex concepts to senior clients. Teamwork & Leadership Ability to mentor, coach, and lead cross-functional teams in collaborative environments Ability to foster a problem-solving culture and contribute meaningfully to team objectives. Client Engagement Strong sense of responsibility, accountability, and trust-building with client stakeholders. Ability to manage client expectations regarding scope, timeline, and cost. Adaptability & Learning Growth mindset and willingness to continuously improve skills and adopt new technologies. Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts. Organization & Initiative Results-oriented approach with a reputation for getting things done. Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks. CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.

Job DescriptionSalary: At Frontline Insurance, we are on a mission to Make Things Better, and our Data Engineer plays a pivotal role in achieving this vision. We strive to provide high quality service and proactive solutions to all our customers to ensure that we are making things better for each one. What makes us different? At Frontline Insurance, our core values Integrity, Patriotism, Family, and Creativity are at the heart of everything we do. Were committed to making a difference and achieving remarkable things together. If youre looking for a role, as a Data Engineer, where you can make a meaningful impact and grow your career, your next adventure starts here! Our Data Engineer enjoys robust benefits: Hybrid work schedule! Health & Wellness: Company-sponsored Medical, Dental, Vision, Life, and Disability Insurance (Short-Term and Long-Term). Financial Security: 401k Retirement Plan with a generous 9% match Work-Life Balance: Four weeks of PTO and Pet Insurance for your furry family members. What you can expect as a Data Engineer: Identify, analyze, organizing, and storing raw data from various mediums (RDBMS, flat files, APIs, etc.) Develop, test, and deploy scalable data pipelines for critical business needs Evaluate, maintain, and enhance current data pipelines and architecture Maintaining code repositories adhering to proper branching flows Building and maintaining CI/CD framework and architecture Deploying and maintaining testing frameworks/suites for data pipelines and CI Developing, deploying, and maintaining APIs and endpoints for analyst and system use Deploying and maintenance of Kubernetes cluster(s) Peer code reviews Collaborate with business, development, and analytics teams to gather requirements Participate in data governance and stewardship program to enhance control and dissemination of data with best practices Develop and maintain technical documentation for pipeline architecture and tooling What we are looking for as a Data Engineer: Strong object-oriented/functional programming skills Python/Scala programming experience Proficient with ANSI SQL skills Familiarity with orchestration tools (Dagster preferred), Docker/Podman, CI/CD tools, and version control (git) Familiar and/or experience with lightweight directory access Experience and/or knowledge of Agile Development methodologies and SDLC Excellent problem-solving and analytical skills Proven ability to extract data from a variety of sources (Relational/Non-Relational Databases, APIs, FTP/SFTP, etc.) Comfortable using cloud technology platforms (AWS preferred) Proven abilities to take initiative and be innovative College Degree and/or 3 - 5 years related experience. Why work for Frontline Insurance? At Frontline Insurance, were more than just a workplace were a community of innovators, problem solvers, and dedicated professionals committed to our core values:Integrity, Patriotism, Family, and Creativity. We provide a collaborative, inclusive, and growth-oriented work environment where every team member can thrive. Frontline Insurance is an equal-opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. What You Will Do You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. Required Qualifications & Skills 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion Experience with a variety of GenAI models, tools, and concepts 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 Multiple years of experience with ELT/ETL data pipeline development and maintenance Multiple years of shown experience and expertise using SQL and Python Experience using containerization technologies such as Docker or Kubernetes Knowledgeable on cloud architecture and product offerings, preferably AWS Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms Experience translating project scope and high-level requirements into technical data engineering tasks Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes Experience collaborating with multiple project teams in a fast-paced environment Experience with defining and estimating level-of-effort data engineering activities Experience with project and sprint planning Ability to communicate technical concepts and solutions to non-technical team members Experience designing and building data structures to support requirements Preferred Qualifications Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies Experience defining GenAI architectures Knowledgeable with Disney Parks attendance, reservations and/or products Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe Education Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience Master's degree preferred in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience #DisneyTech #DisneyAnalytics ********************** Job Posting Segment: Corporate Strategy Job Posting Primary Business: Decision Science & Integration Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Lake Buena Vista, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-30

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a Senior Data Engineer to join our growing team in Daytona Beach, FL! The Senior Data Engineer will design, implement, and maintain data integration projects focused primarily on the use of Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage. This individual will work with business and technical staff to understand integration requirements and develop agile user stories to resolve them. They will also resolve customer complaints and respond to suggestions for improvements and enhancements. They will act as team leader for all data integration projects; coordinating the work of co-located and distributed team members, including vendor resources. How You Will Contribute: Lead the design, implementation, testing, and maintenance of complex system integration processes focused primarily on the use of Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage. Coordinate the work of other systems integration technical resources, both onshore and offshore Become an expert on Microsoft data integration and reporting products Participate in requirement analysis and definition Create technical specifications and system integration test plans Document data flows using data dictionaries and other data governance tools Collaborate with different technical teams on best practices Work as part of an Agile development team to solve problems and develop projects in a fast-paced environment Follow pre-established guidelines as well as create new guidelines to perform the functions of the job Demonstrate a high degree of creativity and problem-solving skills Mature the software development life cycle within your area of responsibility Support applications using software development methodologies including structured programming, documentation, design, and code review and ensure consistent use of Azure DevOps to manage the full lifecycle Collaborate with database resources to ensure robust and complete data access and manipulation Collaborate with IT Operations to ensure hardware and software are aligned to deliver business requirements Mentor junior and other new developers Stay up to date with the latest Azure data services and best practices to continuously improve our data infrastructure. Skills & Experience to Be Successful: Bachelor's / master's degree in computer science, engineering, or a related field, or in-lieu of degree, equivalent education, training, and work-related experience 10+ years of experience in IT with an emphasis on ETL, Reporting, and systems integration. Strong expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, and Azure Databricks. Proficiency in programming languages such as Python, SQL, Spark, and Scala. Experience with data modeling, ETL processes, and data warehousing / data lakes. Experience designing and building relational databases Expert knowledge of ETL concepts and techniques. Proficient in SQL, stored procedures, triggers, and indexes. Experience integrating with SOAP and Restful Web Services Experience applying enterprise design and architectural patterns Experience in end-to-end Software Development Life Cycle (SDLC) projects Experience with code review and evaluation Good at understanding requirements and estimation Team player, have ability and willingness to mentor junior developers Have passion for learning new technologies and enhancing existing skills Excellent problem-solving skills. Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders, are important. Self-starter with the ability to work independently. Excellent Team player Proactive issue resolution with a positive attitude Ability to adapt and respond in a rapidly evolving business environment Understands solution at the project level Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint) Possess experience in the insurance industry and/ or basic knowledge of insurance or financial services. Experience with Azure DevOps, CI/CD Pipelines and GIT source control (preferred) Experience with Azure Data Factory, Databricks, Azure SQL, API Management, Power BI (preferred) Experience with Azure virtual networks and private endpoints(preferred) Experience working with Agile/Scrum methodologies(preferred) Experience working with Denodo or any other Data Virtualization Tools (preferred) Exposure to Data science, AI/ML (preferred) Teammate Benefits & Total Well-Being We go beyond standard benefits, focusing on the total well-being of our teammates, including: Health Benefits : Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance Financial Benefits : ESPP; 401k; Student Loan Assistance; Tuition Reimbursement Mental Health & Wellness : Free Mental Health & Enhanced Advocacy Services Beyond Benefits : Paid Time Off, Holidays, Preferred Partner Discounts and more. Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations. The Power To Be Yourself As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.

A principal role that is responsible for the solution architectures focused on the Data context. Specific attention is paid to the following areas: DG and DM, data structures, modeling aspects, data security practices, architectural practices, integration patterns, non-functional requirements in the data context. Operating remotely and in person in numerous R&D centers, Center of Competence drives innovations in data & big data that ensure rapid expansion of our domain and technical expertise and greater customer satisfaction. Our progressive and flexible working principles pave the way to a rewarding work environment and open vast career opportunities. Industry experience is preferably in Finance, such as asset management, insurance, or capital markets. The estimated salary range for this position is from 170,000 to 240,000 USD per year. * Drive direct communications with business stakeholders * Elaborate on all technical aspects for the development team, justify any architectural decision * Lead implementation of the solutions from establishing project requirements and goals to solution "go-live" * Guide clients through complex data transformation initiatives and ensure successful outcomes * Participate in the entire cycle of sales\pre-sales activities * Lead solution architecture evaluation and assessment activities * 5+ years of work experience in a data architect/engineering role or 5-10 completed projects * Data Governance, Data Management background * Experience working with Clouds (Azure, AWS, GCP) * DWH/Data Platforms experience (Snowflake, Databricks) * Knowledge of SQL and comfortable designing, writing and maintaining complex SQL queries * Experience in finance * Experience building data pipelines; ETL design, implementation, and maintenance * Knowledge of data management fundamentals (data modeling, data quality, metadata management, data warehouse/lakes patterns, distributed systems) * Excellent communication skills * Sales/pre-sales experience * Foundational knowledge on what sales engineering/consulting/pre-sales engineering roles are * How D&A Competence sells and what is important in different types of sales * Main types of value proposition in D&A sales

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

About the Role Florida Casselberry * Country: UNITED STATES OF AMERICA * State/Province/County: North Carolina * City: Charlotte Company Siemens Energy, Inc. Organization Gas Services Business Unit Central Full / Part time Full-time Experience Level Mid-level Professional A Snap Shot of your Day: Siemens Energy is looking for a highly motivated, skilled, data acquisition engineer with experience in testing data acquisition and instrumentation. A typical day could be a call from an internal customer (engineering) asking for help chasing down a problem with a gas turbine component at a site. They need to implement temperatures and dynamic pressures to determine what specific conditions are causing the part to fail. Options are reviewed along with equipment availability and cost. A plan is formulated. Equipment and personnel schedule test execution and collect data to help engineering evaluate the component. How You'll Make an Impact * Plan, develop, and prepare data acquisition equipment for data collection on gas turbine components. * Travel to field sites to support testing validation of gas turbines. * Ensure proper data collection and storage for all test campaigns. * Ensure overall success on testing projects on schedule, within budget, with quality. * Mentor staff in data acquisition techniques and trouble shooting. What You Bring * BS in engineering and/or work experience in a related field. * 5 + Experience in data acquisition techniques - static or dynamic pressures, vibrations, temperatures, acoustic sensors, tip clearance and/or other sensor applications. * Willingness to travel and work long hours in support of testing projects, including international short-term assignments. * Teamwork skills to help ensure our small site teams are effective, efficient, and fiscally responsible. * Project management skills to lead small testing projects. * Highly motivated, proactive, and self-directed. * Excellent interpersonal and communication skills. * Preferred experience in the gas turbine or aerospace industry. * U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers. About the Team Gas Services Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet. Who is Siemens Energy? At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: ******************************************** Rewards * Career growth and development opportunities; supportive work culture * Company paid Health and wellness benefits * Paid Time Off and paid holidays * 401K savings plan with company match * Family building benefits * Parental leave ************************************ #LGTEN #ELECTRON Equal Employment Opportunity Statement Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law. California Privacy Notice California residents have the right to receive additional notices about their personal information. Click here to read more.

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

******************************************************************************** Hybrid Role - must be able to commute to our Maitland, FL office In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making. Essential Functions: Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization. Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement. Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development. Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes. Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations. Monitor performance and troubleshoot issues within ETL projects and related data environments. Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools. Ensure data quality and integrity by implementing best practices in data governance and validation. Education and Experience: Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred). Strong proficiency in relational databases and data querying techniques. Expertise in data modeling, ETL processes, and data integration techniques. Experience with using programmatic tools for data manipulation and analysis. Familiarity with cloud platforms such as Azure, AWS, or GCP. Knowledge of data visualization tools like Power BI, Tableau, or similar. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Ability to learn quickly, be adaptable, flexible, and creative. Demonstrated capability to work well independently and as part of a team. Physical Demands Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards. Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards. Must be able to sit, stand, stoop, or bend for an extended period (8 hours). Must be able to listen and speak clearly over the phone. Work Environment The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. We offer some great perks: Health, dental, and vision benefits. Employer-paid disability and life insurance. Flexible spending accounts. 401K with company match. Paid time off and company-paid holidays. Wellness resources. Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.

The Disney Decision Science + Integration (DDSI) is a consulting team that supports clients across The Walt Disney Company, including Disney Experiences (Parks & Resorts worldwide, Cruise Line, Consumer Products, etc.), Disney Entertainment (ABC, The Walt Disney Studios, Disney Theatrical, Disney Streaming Services, etc.), ESPN, and Corporate Finance. Key partners to the DDSI organization include Marketing, Finance, Business Development, Research, and Operations. We develop, analyze, and execute strategies and improve the value proposition for our Guests, Cast Members, and Shareholders. The team leverages technology, data analytics, optimization, statistical and econometric modeling to explore opportunities, shape business decisions and drive business value. **What You Will Do** You will be responsible for planning and leading research and development related to advanced analytic data solutions, leveraging GenAI. You will work with business and technology leaders to understand scope and requirements, business needs, and data from across the Disney company in order to design and deliver the data pipelines necessary for our solutions. You will partner with the Decision Science Products, Decision Science, and client teams on critical projects. Other activities include planning, estimating, design, development, testing, production rollout and sustainment activities. You will also need to consult and collaborate with project team members, lead design reviews, do hands-on development, and communicate with colleagues and leaders. **Required Qualifications & Skills** + 7+ years overall experience in a data engineering development capacity using a multiple environments (Dev, QA, Prod, etc.) and DevOps procedures for code deployment/promotion + Experience with a variety of GenAI models, tools, and concepts + 3+ years using, designing and building relational databases (preferably Snowflake or PostgreSQL) + 3+ years of experience leading and deploying code using a source control product such as GitLab/GitHub + 2+ years of experience with job scheduling software like Apache Airflow, Amazon MWAA, GitLab Runners or UC4 + Multiple years of experience with ELT/ETL data pipeline development and maintenance + Multiple years of shown experience and expertise using SQL and Python + Experience using containerization technologies such as Docker or Kubernetes + Knowledgeable on cloud architecture and product offerings, preferably AWS + Understanding of Knowledge Graphs, Data Mesh, and other data sharing platforms + Experience translating project scope and high-level requirements into technical data engineering tasks + Experience defining solutions to sophisticated data engineering problems in support of advanced analytic processes + Experience collaborating with multiple project teams in a fast-paced environment + Experience with defining and estimating level-of-effort data engineering activities + Experience with project and sprint planning + Ability to communicate technical concepts and solutions to non-technical team members + Experience designing and building data structures to support requirements **Preferred Qualifications** + Experience leading development of GenAI based systems including model selection, pipeline orchestration and deployment strategies + Experience defining GenAI architectures + Knowledgeable with Disney Parks attendance, reservations and/or products + Experience with cloud based technologies, preferably AWS EMR, EC2, and S3 + Experience with advanced Snowflake offerings such as Snowpark, Data Exchange, Data Marketplace and Snowpipe **Education** + Bachelor's degree in computer science, Information Systems, Software, Electrical or ElectronicsEngineering, or comparable field of study and/or equivalent work experience + Master's degree preferred in computer science, Information Systems, Software, Electrical or ElectronicsEngineering, or comparable field of study and/or equivalent work experience \#DisneyTech \#DisneyAnalytics ********************** **Job ID:** 10132752 **Location:** Lake Buena Vista,Florida **Job Posting Company:** The Walt Disney Company (Corporate) The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email Candidate.Accommodations@Disney.com with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.