Data scientist jobs in Pine Hills, 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 ********************

OUC - The Reliable One is presently seeking a Data Engineer to join the Transformation division. At OUC, we don't just work - we're building a bright future of innovation and transformation for future generations. This is a hybrid position offering two remote workdays per week. Must be onsite Tuesdays and Thursdays. We are looking for a highly skilled and innovative profession to structure, organize, and optimize scalable data pipelines, cloud architecture, and business intelligence. This role will translate complex business needs into secure, high performance data solutions. If you thrive at the intersection of data engineering, cloud technology, and advanced analytics, this is an opportunity to make a measurable impact. OUC is an industry leader and the second largest municipal utility in Florida committed to innovation, sustainability, and our community. OUC's mission is to provide exceptional value to our customers and community by delivering sustainable and reliable services and solutions. Join a team of visionary Change Agents, Strategists, and Community Ambassadors who understand the vital role of diverse experiences in powering creativity and industry transformation. At OUC, each position contributes to the success and achievement of our goals. Click here to learn more about what we do. The ideal candidate will have: Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics or related field of study, from an accredited college or university. Master's Degree in Data Engineering, Information Systems, or related field of study from an accredited college or university (preferred.) Minimum of three (3) years of experience in SQL or Python Programming, ELT/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting. Experience with cloud infrastructure components as well as self service analytics platforms. OUC offers a very competitive compensation and benefits package. Our Total Rewards package includes to cite a few: Competitive compensation Low-cost medical, dental, and vision benefits and paid life insurance premiums with no probationary period. OUC's Hybrid Retirement Program includes a fully-funded cash balance account, defined contribution with employer matching along with a health reimbursement account Generous paid vacation, holidays, and sick time Paid parental leave Educational Assistance Program, to include tuition reimbursement, paid memberships in professional associations, paid conference and training opportunities Wellness incentives and free access to all on-site OUC fitness facilities Access to family-oriented recreational areas Paid Conference and Training Opportunities Free downtown parking Hybrid work schedule Click here to view our Benefits Summary. Salary Range: $99,981.65 - $124,977.370 annually - commensurate with experience Location Gardenia - 3800 Gardenia Ave, Orlando, FL 32839 Please see below a complete Job description for this position. Job Purpose: Performs ETL/ELT processes, designs data models, and implements multidimensional data architectures to optimize data processing for analytics, reporting, business intelligence, and operational decision-making. Develops and enhances scalable data pipelines, integrations, and storage solutions across on-premises and cloud environments, ensuring high-performance, reliable data accessibility.Builds and maintains AI/ML-ready data infrastructure, enabling seamless integration of machine learning models and automated analytics workflows. Supports feature engineering, model training, and inference to enhance predictive and prescriptive analytics capabilities. Executes query auditing, code reviews, quality assurance (QA), and data governance to uphold best practices in security, performance, and compliance, ensuring integrity, reliability, and accessibility of data assets. Translates business requirements into technical designs, optimized data flows, and infrastructure solutions, ensuring alignment with organizational objectives. Collaborates with data scientists, ML engineers, analysts, and IT teams to streamline data workflows, troubleshoot performance bottlenecks, and maintain scalable architectures for structured and unstructured data. Generates effort assessments for data engineering projects, defining Work Breakdown Structures (WBS) to scope and estimate tasks, timelines, and resource requirements. Supports project planning by forecasting development efforts, infrastructure needs, and optimization strategies, ensuring efficiency in execution and delivery. Primary Functions: Data Engineering & Integration Gather and interpret business requirements, translating them into optimized data pipelines, models, and infrastructure solutions that support BI, analytics, and AI-driven decision- making. Perform data modeling using foundational and modern principles, methodologies, and automation strategies to structure data for predictive analytics, reporting, and AI-driven decision-making. Implement secure, high-performance integrations between on-premises and cloud-based storage solutions, optimizing data accessibility for BI, analytics, and operational insights. Develop and maintain scalable ETL/ELT pipelines for efficient data extraction, transformation, and loading, ensuring integration with AI/ML workflows or Data Analytics reporting layer. Ensure real-time and batch processing capabilities, supporting streaming, and event-driven architectures, while implementing robust data access management solutions to facilitate secure, compliant data accessibility for business intelligence (BI), analytics, and operational decision-making. Data Warehousing & Cloud Infrastructure Develop and implement hybrid cloud and on-prem data storage solutions with future-proof scalability and security. Design and optimize multidimensional data models, ensuring efficient storage and retrieval for AI-assisted data science, analytics and reporting. Implement star and snowflake schemas, enhancing analytical performance and query optimization. Utilize data visualization, AI-powered analytics, and business intelligence tools to structure data for strategic for decision-making and automation. Problem-Solving, Query Auditing, Optimization & Quality Assurance (QA) Review and audit more complex SQL queries and ETL/ELT pipelines, ensuring efficiency, compliance, and cloud and AI-readiness, adhering to best practices and established standards. Evaluate data engineering scripts and transformation logic, ensuring integrity, scalability, and security of structured and unstructured datasets. Conduct troubleshooting for advanced data inconsistencies, optimizing high-performance analytics pipelines across hybrid data environments, leveraging cloud tools or AI-enhanced tuning when needed. Collaborate with data scientists, reporting analysts, programmers, business systems analysts, solution architects, and IT teams to deliver reliable data solutions. Identify opportunities and recommend automation, AI-driven improvements, cloud efficiency options, and other process and performance improvement in the data engineering process. General Define and generate effort assessments for data engineering tasks, establishing work breakdown structures (WBS) to scope, estimate, and track project execution. Forecast development efforts, infrastructure requirements, and reporting, Cloud, AI/ML data processing needs, ensuring efficiency and resource allocation. Support Agile methodologies, aligning engineering workflows with business strategy and evolving project demands. Apply data governance, AI-augmented security, privacy protocols, and compliance best practices. Adhere to ethical guidelines and legal regulations governing the collection and use of data, including and not limiting to closed-source intelligence, open-source intelligence data, and AI- generated insights. Maintain security and confidentiality of sensitive information and data; Perform other duties as assigned. Technical Requirements: Programming languages savvy & Query Optimization expert. Expertise in SQL, Python, and Scala, ensuring optimized query performance for structured and unstructured data processing. Proficiency in two or more of the following languages for diverse technical implementations: JavaScript (Snowpark), DAX, Power Query (M), WDL, Power Fx, C#, Perl, VBA, R, Julia. Strong understanding of big data frameworks and distributed computing for scalable analytics. ETL/ELT Tools: Proficiency in ETL/ELT tools, including Talend, Dataiku, Alteryx, Snowpipes, Azure Data Factory, SSIS. Experience in workflow automation using Power Automate and cloud-based integration platforms. Expertise in real-time and batch processing, supporting streaming data and event-driven architectures. Data Warehousing & Cloud: Strong knowledge of cloud-native data solutions, including Snowflake, Databricks, AWS S3, Azure Synapse, and relational databases like Oracle, MySQL. Proficiency in VM-based deployments using Azure VMs, AWS EC2, Google Compute Engine for scalable data processing. Familiarity with IBM Framework for structured data modeling, governance, and analytics. Experience in data lakes, warehouse optimization, and hybrid cloud architectures for scalable analytics. Data Modeling & Architecture: Expertise in data modeling methodologies: Inmon, Kimball, Data Vault, ensuring robust analytics solutions. Proficiency in IBM Framework, Dataiku, Alteryx, Cognos Analytics, Power BI, and DBeaver to structure enterprise-wide data solutions. Ability to design AI/ML-ready architectures, supporting predictive and prescriptive analytics. Data Security & Governance: Strong knowledge of role-based access control (RBAC), encryption strategies, data lineage, and compliance frameworks. Familiarity with GDPR, CCPA, HIPAA, NIST, BCSI, and security protocols for data governance and regulatory compliance. Ability to implement industry best practices for secure data management in cloud and VM environments. Visualization & Reporting: Proficiency in Power BI, Tableau, and Cognos Analytics, enabling data-driven decision-making through interactive dashboards. Strong critical thinking and problem-solving capabilities for optimizing insights. Ability to translate business needs into technical solutions, ensuring structured data workflows. Business Alignment & Project Estimation Ability to effectively communicate insights to non-technical stakeholders, gather and translate business requirements into scalable data architectures. Expertise in Work Breakdown Structures (WBS), effort estimation, and resource planning for efficient project execution. Strong collaboration skills with data scientists, ML engineers, analysts, and IT teams. Strong critical thinking and problem-solving capabilities. Business acumen with a curiosity for data-driven decision-making. Ability to rapidly learn and adapt to evolving analytics and reporting tools. Ability to interpret and analyze data. Ability to make arithmetic computations using whole numbers, fractions and decimals, and compute rates, ratios, and percentages; Ability to use Microsoft Office Suite (Outlook, Excel, Word, etc.) and standard office equipment (computer, telephone, fax, copier, etc.) Education/ Certification/ Years of Experience Requirements: Bachelor's Degree in Information Technology, Computer Science, Computer Engineering, Management Information Systems, Mathematics, Statistics, or a related field of study from an accredited college or university. In lieu of a degree, equivalent combination of education, certifications, and experience may be substitutable on a 1:1 basis; Master's Degree in Data Engineering, Information Systems, Computer Science, Mathematics or Statistics, or a related field of study from an accredited college or university (preferred). Minimum of 3 years of experience in SQL or Python programming, ETL/ELT processes, data warehousing & cloud, data modeling and architecture, data security and governance, and visualization and reporting. Certifications (Preferred): SnowPro Advanced: Data Engineer Databricks Certified Data Engineer IBM Certified Data Engineer - Cognos Analytics; IBM Data Engineering Professional Certificate (Coursera) Cloudera Certified Professional (CCP) Data Engineer Google Cloud Professional Database Engineer Microsoft Azure Data Engineer Associate Snowflake SnowPro Certification SnowPro Associate: Platform Certification; SnowPro Core Certification; SnowPro Specialty: Snowpark; SnowPro Specialty: Native Apps; SnowPro Advanced: Architect IBM Certified Solution Architect - Cloud Pak for Data AWS Certified Data Analytics; AWS Certified Solutions Architect - Professional Microsoft Certified: Azure Solutions Architect Expert TOGAF 9 Certification Google Data Engineering Professional Certificate Oracle Certified Professional or MySQL Database Administrator Coursera/Udemy Data Engineering Bootcamps Zachman Certified Enterprise Architect Working Conditions: This job is absent of disagreeable working conditions. This job is performed in an office work environment. Physical Requirements: This job consists of speaking, hearing, reading, typing and writing. This job requires frequent sitting, occasional standing and walking and may require lifting up to twenty (20) lbs., bending/ stooping, reaching over head. OUC-The Reliable One is an Equal Opportunity Employer who is committed through responsible management policies to recruit, hire, promote, train, transfer, compensate, and administer all other personnel actions without regard to race, color, ethnicity, national origin, age, religion, disability, marital status, sex, sexual orientation, gender identity or expression, genetic information and any other factor prohibited under applicable federal, state, and local civil rights laws, rules, and regulations . EOE M/F/Vets/Disabled

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

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. 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

Data Engineer EXp:10+ W2/C2C Must be US Citizen Orlando, FL Full onsite Local to FL Snowflake development and data modeling: Design, implement, and maintain Snowflake schemas, tables, views, materialized views, and data sharing Develop robust ELT/ETL transformations using Snowflake SQL, UDFs, and semi-structured data handling Implement and optimize Snowflake features such as warehouses, clustering, time travel, zero-copy cloning, streams, tasks, and data sharing Alteryx integration and workflow optimization: Build and maintain Alteryx workflows that connect to Snowflake as a data source/target Optimize Alteryx Designer/Server workflows for performance, scalability, and reliability Collaborate with data engineers to design efficient data pipelines and transformations Data quality, governance, and security: Implement data quality checks, data lineage, and metadata management Apply RBAC, masking policies, encryption, and network policies as appropriate for banking data Maintain documentation and support regulatory data requirements Collaboration and delivery: Translate business requirements into technical designs, data mappings, and specs Perform code reviews, contribute to design best practices, and ensure changes meet regulatory and security standards Partner with analytics, BI, and governance teams to fulfill reporting and analytics needs Testing, deployment, and automation: Write unit/integration tests for SQL and data pipelines; participate in CI/CD for data assets Automate routine maintenance and deployment tasks with Python, SQL, or shell scripting Incident response and support: Troubleshoot production issues, perform root-cause analysis, and implement durable fixes Create runbooks and knowledge base articles for common scenarios Documentation: Maintain data dictionaries, lineage, and design documentation for data assets Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent work experience) 10+ years of Snowflake development experience (designing schemas, pipelines, and transformations) Strong SQL skills with the ability to write complex queries and optimize performance Practical experience building and maintaining Alteryx workflows that interact with Snowflake Thorough understanding of Snowflake concepts: warehouses, clustering, time travel, zero-copy cloning, data sharing, streams/tasks, and security features Experience with data governance, data quality, and metadata management Familiarity with cloud environments (Snowflake on AWS/Azure/GCP) and cloud storage integrations Scripting experience (Python, Bash, or similar) for task automation Excellent problem-solving, communication, and collaboration skills Ability to work effectively in a remote or distributed team and align with US banking/regulatory workflows Preferred Qualifications SnowPro Core Certification or equivalent Alteryx Designer Core/Advanced Certification; experience with Alteryx Server administration Banking/financial services domain experience and knowledge of regulatory requirements Experience with data lineage tools (e.g., Collibra, Alation) and data governance frameworks Familiarity with orchestration tools (e.g., Apache Airflow) and ETL/ELT best practices Knowledge of BI/analytics tools (Tableau, Power BI) and data visualization needs

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.

******************************************************************************** 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.

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.

"At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney!" This role sits in the Data Platform and Products (DPP) organization within Technology & Digital for Disney Experiences. The Data Engineer will report to the Manager, Data Engineering. About The Role & Team: If you're passionate about working on large-scale and high-performance software systems, come join our team! We are looking for a Data Engineer who has experience with cloud platforms and can create scalable solutions for data platforms. You will develop products and tooling, provide technical expertise, and ensure the delivery of features and capabilities for the Data Platform and Products team. You will be part of a group of experienced developers who build technical solutions that support the entire Disney Experiences segment, powering the interactions and experiences that create magic for our guests. What You'll Do: Assist in designing, building, and overseeing the deployment of technology architecture, solutions, and software aimed at capturing, managing, and utilizing structured and unstructured data from various sources Support the development of processes and structures to efficiently channel, route, and store data considering business and technical requirements, and utilizing cloud and local storage solutions as necessary Contribute to applying technical tools and programming for data cleansing, organization, transformation, and maintenance, with a focus on incorporating automation and advanced techniques like big data, artificial intelligence, and machine learning Participate in establishing design standards and assurance processes for software and systems development to ensure data compatibility, operability, and integrity throughout data connections, flows, and storage systems Collaborate on reviewing internal and external business and product requirements to align data operations and activities with organizational objectives and needs You will be encouraged to stay up to date with emerging technologies May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed Required Qualifications: Minimum 3 years of related work experience Proficiency in fundamentals of data pipelining, ELT/ETL processes, data architecture, and the overall data lifecycle, complemented by hands-on experience in designing and implementing efficient data workflows and processes Demonstrating ability to contribute across multiple phases of development for complex projects, including technical design, implementation, and end-to-end testing, ensuring the successful delivery of data engineering solutions Passionate about delivering data engineering projects collaboratively, with a strong commitment to achieving team goals Effective troubleshooting skills, capable of identifying and resolving sophisticated issues with sound judgment and initiative Adaptable to agile environments, comfortable with changing requirements and effective collaboration across teams Proficiency in SQL, Python, AWS services (e.g. IAM, S3, Kinesis Data Stream, Kinesis Firehose, Lambda, DynamoDB, DMS), with a proactive demeanor towards continuous learning and skill development, and an interest in mastering emerging data engineering tools and methodologies Preferred Qualifications: Expertise coding and developing solutions that solve complex problems, while keeping in mind code space and time complexity Proficiency in DevOps practices, e.g.,: CI/CD, docker, testing, and automation Understanding of trade-offs between different data storage systems and architectures (data warehouses, SQL vs NoSQL, partitioning, etc) Knowledge of DevOps concepts Experience developing real-time data processing using Apache Flink Experience with infrastructure-as-code, e.g.: Terraform, CloudFormation, AWS CDK, etc Required Education: Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience #DISNEYTECH Job Posting Segment: DX Technology Job Posting Primary Business: Emerging Tech & Data Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Orlando, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-09-18

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location:

Job Description Data Engineer EXp:10+ W2/C2C Must be US Citizen Orlando, FL Full onsite Local to FL Snowflake development and data modeling: Design, implement, and maintain Snowflake schemas, tables, views, materialized views, and data sharing Develop robust ELT/ETL transformations using Snowflake SQL, UDFs, and semi-structured data handling Implement and optimize Snowflake features such as warehouses, clustering, time travel, zero-copy cloning, streams, tasks, and data sharing Alteryx integration and workflow optimization: Build and maintain Alteryx workflows that connect to Snowflake as a data source/target Optimize Alteryx Designer/Server workflows for performance, scalability, and reliability Collaborate with data engineers to design efficient data pipelines and transformations Data quality, governance, and security: Implement data quality checks, data lineage, and metadata management Apply RBAC, masking policies, encryption, and network policies as appropriate for banking data Maintain documentation and support regulatory data requirements Collaboration and delivery: Translate business requirements into technical designs, data mappings, and specs Perform code reviews, contribute to design best practices, and ensure changes meet regulatory and security standards Partner with analytics, BI, and governance teams to fulfill reporting and analytics needs Testing, deployment, and automation: Write unit/integration tests for SQL and data pipelines; participate in CI/CD for data assets Automate routine maintenance and deployment tasks with Python, SQL, or shell scripting Incident response and support: Troubleshoot production issues, perform root-cause analysis, and implement durable fixes Create runbooks and knowledge base articles for common scenarios Documentation: Maintain data dictionaries, lineage, and design documentation for data assets Required Qualifications Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent work experience) 10+ years of Snowflake development experience (designing schemas, pipelines, and transformations) Strong SQL skills with the ability to write complex queries and optimize performance Practical experience building and maintaining Alteryx workflows that interact with Snowflake Thorough understanding of Snowflake concepts: warehouses, clustering, time travel, zero-copy cloning, data sharing, streams/tasks, and security features Experience with data governance, data quality, and metadata management Familiarity with cloud environments (Snowflake on AWS/Azure/GCP) and cloud storage integrations Scripting experience (Python, Bash, or similar) for task automation Excellent problem-solving, communication, and collaboration skills Ability to work effectively in a remote or distributed team and align with US banking/regulatory workflows Preferred Qualifications SnowPro Core Certification or equivalent Alteryx Designer Core/Advanced Certification; experience with Alteryx Server administration Banking/financial services domain experience and knowledge of regulatory requirements Experience with data lineage tools (e.g., Collibra, Alation) and data governance frameworks Familiarity with orchestration tools (e.g., Apache Airflow) and ETL/ELT best practices Knowledge of BI/analytics tools (Tableau, Power BI) and data visualization needs

**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 is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. 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.

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 ********************

At Disney Experiences Technology, our team creates world-class immersive digital experiences for the Company's premier vacation brands including Disney's Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The Disney Experiences Technology team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! About the Role We're looking for a Senior Cloud Engineer / Systems Administrator to join the Data Analytics & Innovation Team within Consumer Insight, Measurement & Analytics (CIMA). In this role, you'll design, manage, and evolve AWS cloud infrastructure and other cloud technologies that power analytics, automation, and enterprise-scale platforms across Disney Experiences. You'll play a key role in architecting and securing the foundation of Disney's data and cloud ecosystem, supporting Cloudera Data Platform (CDP) and other big data environments. This position blends cloud infrastructure expertise, DevOps practices, and security-first practices to ensure scalability, reliability, and compliance across Disney's global technology landscape. What You'll Do Architect, deploy, and maintain AWS cloud infrastructure and other cloud platforms (S3, EC2, Lambda, ECS, RDS, CloudFormation, VPCs, IAM, etc.) supporting enterprise-scale data and application workloads Build, deploy, and manage containerized environments using Docker, ensuring portability, reliability, and consistent deployments across systems Lead the administration and operation of CI/CD platforms such as Jenkins, GitHub Actions, and related automation tools, including pipeline development, configuration, plugin management, and integration with source control Support and optimize Cloudera Data Platform (CDP) environments within the cloud ecosystem, ensuring stability, scalability, and secure connectivity with data services and applications Develop & support Infrastructure as Code (IaC) using Terraform and CloudFormation to automate provisioning and configuration management Oversee certificate management-including SSL/TLS lifecycle management, PKI integration, and secure communication protocols across services Champion security-first practices, such as IAM governance, KMS encryption, network segmentation, and adherence to Disney Information Security standards Monitor and optimize system health through CloudWatch, Datadog, and other observability tools to ensure reliability, performance, and cost efficiency Collaborate across CIMA and Disney Experiences to deliver high-availability, compliant, and cost-optimized cloud and data systems Contribute to Disney's DevOps culture, emphasizing automation, continuous improvement, and secure infrastructure delivery Required Qualifications & Skills 5+ years of experience in cloud infrastructure engineering, systems administration, or DevOps roles Expertise in AWS services (S3, EC2, Lambda, ECS, RDS, CloudFormation, IAM) and familiarity with other cloud technologies (e.g., GCP or Azure) Experience supporting or integrating with Cloudera Data Platform (CDP) or similar large-scale data platforms Proven experience in Jenkins administration or equivalent CI/CD systems-managing users, plugins, jobs, and automation frameworks Strong proficiency with Docker and container deployment & orchestration (ECS, EKS, Kubernetes, or similar technologies) Deep understanding of security best practices, including SSL/TLS, certificate management, encryption standards, and secure system design Hands-on experience with Terraform and scripting languages such as Python, Bash, or PowerShell Strong communication, troubleshooting, and collaboration skills in an agile, cross-functional environment Preferred Qualifications Experience managing multi-cloud or hybrid architectures Familiarity with big data and analytics ecosystems (Snowflake, Databricks, Spark, Cloudera) AWS certifications such as Solutions Architect, SysOps Administrator, or DevOps Engineer Understanding of Zero Trust architecture, CSPM tools, or cloud compliance frameworks (Tanium, Splunk, Crowdstrike, wiz.io) Strong understanding of Object Oriented Engineering Principles Education Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study and/or equivalent work experience Job Posting Segment: Marketing Job Posting Primary Business: Consumer Insight-Measure & Analytics Primary Job Posting Category: Data Engineering Employment Type: Full time Primary City, State, Region, Postal Code: Celebration, FL, USA Alternate City, State, Region, Postal Code: Date Posted: 2025-11-10

Working Title: Internship Salary: To Be Determined by the Agency Data Science Internship State of Florida Opportunities are located throughout Florida Internship Overview and Responsibilities: The State of Florida is seeking motivated individuals to join our workforce. Our agencies are looking for bright, highly motivated college students and recent graduates to participate in a unique opportunity to gain experience firsthand in the operations of state government while obtaining valuable on-the-job training. As a data science intern, responsibilities may include the following: * Leverage tools to interpret data sets; paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. * Collaborate with cross-functional teams to understand data needs and deliver data-driven solutions. * Assist with the maintenance, ongoing support, and reporting for automation across the agency. * Assist in collecting, cleaning, and preprocessing structured and unstructured datasets from various sources. * Support exploratory data analysis to uncover trends, patterns, and insights. * Contribute to the improvement of data quality, data governance, and metadata standards. * Conduct research on emerging tools, techniques, and technologies. Applications are accepted year-round. Internships may be paid or unpaid and there is no guarantee of employment. Knowledge, Skills, and Abilities: * Knowledge of data analytics methodologies and tools. * Ability to work independently as well as with others. * Knowledge of data modeling, data mining and data cleansing techniques; and data analysis. * Knowledge of automation and application of automation tools. * Ability to prioritize tasks, meet deadlines, and manage time effectively. * Knowledge of statistics & statistical modeling. * Ability to collect, evaluate, and prioritize automation opportunities. * Proven ability to work ethically and with integrity. Minimum Qualifications: * Must be currently enrolled or graduated within the last twelve months from an accredited college or university degree program. * Working knowledge of database systems and querying languages (e.g., SQL) to extract and manipulate data efficiently. The State of Florida is an Equal Opportunity Employer/Affirmative Action Employer, and does not tolerate discrimination or violence in the workplace. Candidates requiring a reasonable accommodation, as defined by the Americans with Disabilities Act, must notify the agency hiring authority and/or People First Service Center (***************. Notification to the hiring authority must be made in advance to allow sufficient time to provide the accommodation. The State of Florida supports a Drug-Free workplace. All employees are subject to reasonable suspicion drug testing in accordance with Section 112.0455, F.S., Drug-Free Workplace Act. Location: