Data scientist jobs in Satellite Beach, FL

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

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.

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.

Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development - all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems. Primary Responsibilities Contribute to IRAD projects involving Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools Document findings, write test code, and iterate based on feedback and research outcomes Basic Qualifications Actively enrolled in an undergraduate or graduate program at the University of Central Florida U.S. citizenship and the ability to obtain and maintain a Secret security clearance Strong interest in or exposure to programming, AI/ML, or data science Familiarity with one or more modern programming languages (e.g., Python, Java, C++, JavaScript) Preferred Qualifications Coursework, projects, or hands-on experience in areas such as: Artificial Intelligence or Machine Learning Computer Vision or Multimodal Models Natural Language Processing or Large Language Models Data engineering or data wrangling Familiarity with data labeling, data cleaning, or preparing training sets for AI Interest in AI safety, bias mitigation, or explainability Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting:November 6, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range:Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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

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:

"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

Our client, a US education pioneer since 2000, leads in next-generation curriculum and formative assessment, creating interactive web solutions for teachers, students, and parents. They are technology-driven, with many software engineers using best practices and cutting-edge tools. Our data analytics teams transform, model, and aggregate the data that empowers our customers to make sense of and tell stories with their data. You'll be working with data scientists, data analysts, data engineers, and software engineers to provide clean, accurate, reliable models and metrics for our products. The estimated salary range for this position is from $120,000 to $170,000 USD per year. * Built scalable and reliable data pipelines that transform raw learning data into analytics-ready models, supporting accurate reporting and decision-making. * Create data models that provide clear visibility into learner progress and performance, enabling meaningful comparisons across cohorts while preserving detailed individual insights. * Implement flexible dimensional models that handle real-world educational changes, such as year-over-year transitions and learner movement between schools or classes. * Improve deployment and testing processes for data pipelines, reducing data issues and increasing confidence in analytics outputs. * BS in Computer Science, Data Science, or equivalent experience. * 5+ years experience in computer, data, and analytics engineering. * Expertise in computer, data, and analytics engineering. * Expertise in SQL and its use in code-based ETL frameworks, preferably dbt, focusing on reuse and efficiency. * Expertise in ETL/ELT pipelines, analytical data modeling, aggregations, and metrics * Expertise in dbt and git preferably with automation skills. * Expertise in analytical modeling architectures, including the Kimball design * Strong communication skills in writing and conversation, including writing engineering training documentation. * Fluency in a development language such as Python * Experience building dashboards, reports, and models in business intelligence tools such as Tableau or Looker * Expertise with tools we use every day: * Storage: Snowflake, AWS Storage Services (S3, RDS, Glacier, DynamoDB) and Postgres * ETL/ELT: Airflow, dbt, Matillion, Fivetran * BI: Cube.dev, Looker, Tableau

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

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.

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

General Description: The Data Engineer will play a critical role within the Information Technology organization, partnering closely with data and analytics leadership to build and optimize scalable, reliable data pipelines and platforms that support enterprise analytics and decision-making. This role focuses on enabling data availability, quality, and accessibility across business domains, ensuring alignment with strategic data initiatives. The engineer will work with cross-functional teams to gather and translate business data requirements into technical solutions, support data integration efforts, and uphold data governance standards. Responsibilities may include contributing to the development of data products, enhancing data infrastructure, and supporting data platform modernization efforts to ensure trusted, timely data is accessible for business use. Essential Duties and Responsibilities: Guidewire Data Warehouse Management: Continue to support and enhance the Guidewire Enterprise Data Warehouse, ensuring data availability, accuracy, and efficiency in ETL operations. Data Platform Implementation: Architect, design, and implement a scalable, on-prem or cloud-based enterprise data platform, integrating diverse data sources beyond Guidewire Insurance Suite Data Integration & Engineering: Develop and oversee ETL/ELT pipelines to ingest, transform, and store data efficiently, leveraging modern tools. Data Modeling & Architecture: Design and implement optimized data models for structured and unstructured data, supporting reporting, analytics, and AI/ML initiatives. Data Governance & Security: Establish best practices for data governance, data quality, metadata management, and security compliance across all data assets. Advanced Analytics Support: Enable self-service analytics, real-time data processing, and AI/ML-driven insights by integrating modern data technologies such as data lakes, streaming data, Graph and NoSQL databases. Collaboration & Leadership: Act as a strategic partner to IT, business units, and analytics teams, aligning data initiatives with organizational goals. Mentor junior team members and foster a culture of data-driven decision-making. Monitor the task queue, take, and update tickets as directed by your supervisor. Successfully engage in multiple initiatives simultaneously. Contributes to the development of project plans and may assign and monitor tasks. Assist in the development and generation of new reports to be provided to senior management across functional departments. Performs other duties as required. Supplemental Information: This job description has been prepared to indicate the general nature and level of the work that the employees perform within their classification. This description is not and cannot be interpreted as an inventory of all the duties, tasks, responsibilities, and qualifications required for the employees assigned to this job. Education and / or Experience: Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or a related field. 5+ years of experience in data architecture, engineering, or related roles, preferably within the insurance industry. Strong expertise in the Guidewire InsuranceSuite database schemas (PolicyCenter, BillingCenter, ClaimCenter) is a plus. Ability to analyze and learn new complex data sources models and integrate them into the data platform's pipelines. Experience implementing cloud-based data platforms in Azure and familiarity with data lakehouse architectures. Proficiency in modern ETL/ELT tools (e.g., MS SSIS and Azure Data Factory) and database technologies (SQL, Databricks, etc.). Hands-on experience with big data processing, streaming technologies (Kafka, Spark, Flink), and API-driven data integration. Strong understanding of data security, compliance, and governance best practices (GDPR, CCPA, SOC2, etc.). Familiarity with BI/reporting tools such as Power BI, Tableau, Looker. Strong knowledge and experience implementing Data Mesh architecture is a plus. Knowledge of machine learning frameworks and MLOps is a plus. Familiarity with ticketing systems like Atlassian Jira used to assign and track work amongst multiple team members. Must be resourceful, industrious, and willing to take on new tasks and proactively learn new technologies to keep up with business needs. Must be able to work under tight deadlines efficiently and with high quality. Must possess strong organizational skills with demonstrated attention to detail. Must be flexible and able to adapt in a changing business environment. Must possess a positive attitude and strong work ethic. Excellent verbal and written communication skills and the ability to interact professionally with a diverse group (executives, managers, and subject matter experts). Must be proficient in Microsoft Office (Excel, Word, Power Point). Licenses and / or Certifications: Azure Data Engineer Associate or higher preferred.

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Summary The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval. Overview Help Accepting applications Open & closing dates 09/29/2025 to 09/28/2026 Salary $49,960 to - $99,314 per year Total salary varies depending on location of position Pay scale & grade GS 7 - 9 Locations Gunter AFB, AL Few vacancies Maxwell AFB, AL Few vacancies Davis Monthan AFB, AZ Few vacancies Edwards AFB, CA Few vacancies Show morefewer locations (44) Los Angeles, CA Few vacancies Travis AFB, CA Few vacancies Vandenberg AFB, CA Few vacancies Air Force Academy, CO Few vacancies Buckley AFB, CO Few vacancies Cheyenne Mountain AFB, CO Few vacancies Peterson AFB, CO Few vacancies Schriever AFB, CO Few vacancies Joint Base Anacostia-Bolling, DC Few vacancies Cape Canaveral AFS, FL Few vacancies Eglin AFB, FL Few vacancies Hurlburt Field, FL Few vacancies MacDill AFB, FL Few vacancies Patrick AFB, FL Few vacancies Tyndall AFB, FL Few vacancies Robins AFB, GA Few vacancies Hickam AFB, HI Few vacancies Barksdale AFB, LA Few vacancies Hanscom AFB, MA Few vacancies Natick, MA Few vacancies Aberdeen Proving Ground, MD Few vacancies Andrews AFB, MD Few vacancies White Oak, MD Few vacancies Offutt AFB, NE Few vacancies Holloman AFB, NM Few vacancies Kirtland AFB, NM Few vacancies Nellis AFB, NV Few vacancies Rome, NY Few vacancies Heath, OH Few vacancies Wright-Patterson AFB, OH Few vacancies Tinker AFB, OK Few vacancies Arnold AFB, TN Few vacancies Dyess AFB, TX Few vacancies Fort Sam Houston, TX Few vacancies Goodfellow AFB, TX Few vacancies Lackland AFB, TX Few vacancies Randolph AFB, TX Few vacancies Hill AFB, UT Few vacancies Arlington, VA Few vacancies Dahlgren, VA Few vacancies Langley AFB, VA Few vacancies Pentagon, Arlington, VA Few vacancies Fairchild AFB, WA Few vacancies Warren AFB, WY Few vacancies Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Internships Work schedule Full-time Service Competitive Promotion potential 13 Job family (Series) * 1560 Data Science Series Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number K-26-DHA-12804858-AKK Control number 846709300 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Students Current students enrolled in an accredited high school, college or graduate institution. Recent graduates Individuals who have graduated from an accredited educational institute or certificate program within the last 2 years or 6 years for Veterans. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help 1. Performs developmental assignments in support of projects assigned to higher level analysts. Performs minor phases of a larger assignment or work of moderate difficulty where procedures are established, and a number of specific guidelines exist. Applies the various steps of accepted data science procedures to search for information and perform well precedented work. 2. Performs general operations and assignments for portions of a project or study consisting of a series of interrelated tasks or problems. The employee applies judgment in the independent application of methods and techniques previously learned. The employee locates and selects the most appropriate guidelines and modifies to address unusual situations. 3. Participates in special initiatives, studies, and projects. Performs special research tasks designed to utilize and enhance knowledge of work processes and techniques. Works with higher graded specialists in planning and conducting special initiatives, studies, and projects. Assists in preparing reports and briefings outlining study findings and recommendations. 4. Prepares correspondence and other documentation. Drafts or prepares a variety of documents to include newsletter items, responses to routine inquiries, reports, letters, and other related documents. Requirements Help Conditions of employment * Employee must maintain current certifications * Successful completion of all training and regulatory requirements as identified in the applicable training plan * Must meet suitability for federal employment * Direct Deposit: All federal employees are required to have direct deposit * Please read this Public Notice in its entirety prior to submitting your application for consideration. * Males must be registered for Selective Service, see *********** * A security clearance may be required. This position may require a secret, top-secret or special sensitive clearance. * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * More information on PCS requirements, may be found at: ***************************************** * Position may be subject to random drug testing * U.S. Citizenship Required * Disclosure of Political Appointments * Student Loan Repayment may be authorized * Recruitment Incentive may be authorized for this position * Total salary varies depending on location of position * You will be required to serve a one year probationary period * Grade Point Average - 2.95 or higher out of a possible 4.0 * Mobility - you may be required to relocate during or after completion of your training * Work may occasionally require travel away from the normal duty station on military or commercial aircraft Qualifications BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. You may qualify if you meet one of the following: 1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following: a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. 2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree: a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas: 1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures. 2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly. 3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis. 4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts. 5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions. 6. Ability to plan and organize work and confer with co-workers effectively. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For DHA Positions: These positions are being filled under Direct-Hire Authority for the Department of Defense for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified post-secondary students and recent graduates directly into competitive service positions; these positions may be professional or administrative occupations and are located Air Force-Wide. Positions may be filled as permanent or term with a full-time or part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled in, and in good academic standing at a full-time program at an institution of higher education; and is making satisfactory progress toward receipt of a baccalaureate or graduate degree; and has completed at least one year of the program. * The term "recent graduate" means a person who was awarded a degree by an institution of higher education not more than two years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than four years. Selective Service: Males born after 12-31-59 must be registered or exempt from Selective Service. For additional information, click here. Direct Deposit: All federal employees are required to have direct deposit. If you are unable to apply online, view the following link for information regarding Alternate Application. The Vacancy ID is If you have questions regarding this announcement and have hearing or speech difficulties click here. Tax Law Impact for PCS: On 22-Dec-2017, Public Law 115-97 - the "Tax Cuts and Jobs Act of 2017" suspended qualified moving expense deductions along with the exclusion for employer reimbursements and payments of moving expenses effective 01-Jan-2018 for tax years 2018 through 2025. The law made taxable certain reimbursements and other payments, including driving mileage, airfare and lodging expenses, en-route travel to the new duty station, and temporary storage of those items. The Federal Travel Regulation Bulletin (FTR) 18-05 issued by General Services Administration (GSA) has authorized agencies to use the Withholding Tax Allowance (WTA) and Relocation Income Tax Allowance (RITA) to pay for "substantially all" of the increased tax liability resulting from the "2018 Tax Cuts and Jobs Act" for certain eligible individuals. For additional information on WTA/RITA allowances and eligibilities please click here. Subsequently, FTR Bulletin 20-04 issued by GSA, provides further information regarding NDAA FY2020, Public Law 116-92, and the expansion of eligibility beyond "transferred" for WTA/RITA allowances. For additional information, please click here. Expand Hide additional information Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. How you will be evaluated You will be evaluated for this job based on how well you meet the qualifications above. For DHA Positions: These positions are being filled under Direct-Hire Authority for the DoD for Post-Secondary Students and Recent Graduates. The Secretary of the Air Force has delegated authority by the Office of the Secretary of Defense to directly appoint qualified students and recent graduates directly into competitive service positions; positions may be professional or administrative occupations and located Air Force-Wide. Positions may be filled as permanent/term with a full-time/part-time work schedule. Pay will vary by geographic location. * The term "Current post-secondary student" means a person who is currently enrolled and in good academic standing at a full-time program at an institution of higher education; and is progressing toward a baccalaureate or graduate degree; and has completed at least 1 year of the program. * The term "recent graduate" means a person awarded a degree by an institution of higher education not more than 2 years before the date of the appointment of such person, except in the case of a person who has completed a period of obligated service in a uniform service of more than 4 years. Your latest resume will be used to determine your qualifications. Your application package (resume, supporting documents, and responses to the questionnaire) will be used to determine your eligibility, qualifications, and quality ranking for this position. Please follow all instructions carefully. Errors or omissions may affect your rating or consideration for employment. Your responses to the questionnaire may be compared to the documents you submit. The documents you submit must support your responses to the online questionnaire. If your application contradicts or does not support your questionnaire responses, you will receive a rating of "not qualified" or "insufficient information" and you will not receive further consideration for this job. Applicants who disqualify themselves will not be evaluated further. Benefits Help A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new window Learn more about federal benefits. Review our benefits Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered. Required documents Required Documents Help The following documents are required and must be provided with your application for this Public Notice. Applicants who do not submit required documentation to determine eligibility and qualifications will be eliminated from consideration. Other documents may be required based on the eligibility/eligibilities you are claiming. Click here to view the AF Civilian Employment Eligibility Guide and the required documents you must submit to substantiate the eligibilities you are claiming. * Online Application - Questionnaire * Resume: Your resume may NOT exceed two pages, and the font size should not be smaller than 10 pts. You will not be considered for this vacancy if your resume is illegible/unreadable. Additional information on resume requirements can be located under "

Leidos is seeking a university student to join our Orlando-based team as Software Development Interns supporting Internal Research and Development (IRAD) efforts. This internship offers an opportunity to contribute to exploratory projects in Artificial Intelligence (AI), data engineering, and advanced software development - all in support of Leidos' internal innovation and national security customer missions. We welcome applicants from a variety of academic backgrounds who have strong interest or experience in computing, data, or AI. This role emphasizes hands-on, applied research and prototyping in modern software and AI ecosystems. Primary Responsibilities * Contribute to IRAD projects involving Artificial Intelligence (AI), Machine Learning (ML), and Large Language Models (LLMs) * Support the development of multimodal AI systems that combine visual, textual, geospatial, and sensor data * Assist in designing data pipelines that transform structured and unstructured data into AI/ML-ready formats * Prototype AI applications and perform experimental evaluations, including AI safety and reliability testing * Collaborate with multidisciplinary teams on simulation, modeling, and decision support tools * Document findings, write test code, and iterate based on feedback and research outcomes Basic Qualifications * Actively enrolled in an undergraduate or graduate program at the University of Central Florida * U.S. citizenship and the ability to obtain and maintain a Secret security clearance * Strong interest in or exposure to programming, AI/ML, or data science * Familiarity with one or more modern programming languages (e.g., Python, Java, C++, JavaScript) Preferred Qualifications * Coursework, projects, or hands-on experience in areas such as: * Artificial Intelligence or Machine Learning * Computer Vision or Multimodal Models * Natural Language Processing or Large Language Models * Data engineering or data wrangling * Familiarity with data labeling, data cleaning, or preparing training sets for AI * Interest in AI safety, bias mitigation, or explainability * Creative problem-solving skills and eagerness to work on exploratory, research-driven efforts If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares. Original Posting: November 6, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $48,100.00 - $86,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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

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:

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

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