AI & GenAI Data Scientist - Manager
Data scientist job in Orlando, FL
Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
* Analyse and identify the linkages and interactions between the component parts of an entire system.
* Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
* Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
* Develop skills outside your comfort zone, and encourage others to do the same.
* Effectively mentor others.
* Use the review of work as an opportunity to deepen the expertise of team members.
* Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
* Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
Minimum Degree Required
Bachelor's Degree
Minimum Year(s) of Experience
7 year(s)
Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs:
* Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients
* Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach
* Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases
* Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds
* Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases
* Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis;
* Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements;
* Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams;
* Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps
* Structuring, write, communicate and facilitate client presentations; and,
* Managing associates and senior associates through coaching, providing feedback, and guiding work performance.
Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas:
* Managing GenAI application development teams including back-end and front-end integrations
* Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL);
* Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization
* Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev
* Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms
* Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc.
Travel Requirements
Up to 80%
Job Posting End Date
Learn more about how we work: **************************
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: ***********************************
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: ***************************************
The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************
Auto-ApplyData Scientist--------Need GC and USC
Data scientist job in Orlando, FL
USM Business Systems Inc. is a quickly developing worldwide System Integrator, Software and Product Development, IT Outsourcing and Technology assistance supplier headquartered in Chantilly, VA with off-shore delivery centers in India. We offer world-class ability in giving most astounding quality and administrations through industry best practices planned to convey remarkable worth to our customers.
Utilizing our industry knowledge, administration service offering expertise and innovation abilities, we distinguish new business and innovation slants and create answers for help customers around the globe, giving top of the line solid and practical IT benefits which are cost effective services.
Established in 1999, the organization has corner qualities in building and dealing with a Business Oriented IT environment with rich involvement in technology innovation, ERP and CRM counselling, Product Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings include modified solutions and administrations in ERP, CRM, Enterprise architecture, offshore advisory services ,e-commerce, Social , Mobile, Cloud, Analytics (SMAC) and DevOps.
USM, a US ensured Minority Business Enterprise (MBE) is perceived as one of the fastest developing IT Systems Integrator in the Washington, DC zone. Most as of late, USM was positioned #9 on the rundown of the Top administrations organizations in the DC Metro Area - Washington Business Journal (2011). We are a project-driven firm that reliably meets the IT needs of our State and Government customers through development and business keenness.
Job Description
Data Scientist.
Orlando, FL
Full Time Position
Need GC and USC
This person will be responsible for conducting analyses of complex and varied healthcare and other data to demonstrate the value of new technology implementations and process improvements to create business insights that drive decision-making. Uses descriptive and inferential statistics, data mining, predictive modeling and machine learning techniques to develop insights that will optimize cost and patient outcomes.
Top 3 skills:
Proficient in analytical and programming skills including SQL, Advanced Excel and SPSS or R.
Background in Statistics/applied research
2+ years' experience working in a healthcare environment
Masters or PhD (preferred PhD)
Additional Information
If you are interested please share your resume to preethib@usmsystems(dot)com or can directly call me on ************
Data Scientist
Data scientist job in Orlando, FL
We are passionate people with an expert understanding of the digital consumer, data sciences, global telecom business, and emerging financial services. And we believe that we can make the world a better place.
Job Description
Looking for candidate making a career in Data Science with experience applying advanced statistics, data mining and machine learning algorithms to make data-driven predictions using programming languages like Python (including: Numpy, Pandas, Scikit-learn, Matplotlib, Seaborn), SQL (Postgresql). Experience with ElasticSearch, information/document retrieval, natural language processing is a plus. Experience with various machine learning methods (classification, clustering, natural language processing, ensemble methods, outlier analysis) and parameters that affect their performance also helps. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.
Qualifications
Qualifications
· Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
· At least 2 years' of experience in quantitative analytics or data modeling
· Some understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
· Fluency in these programming languages (Python, SQL), Javascript/HTML/CSS/Web Development nice to have.
· Familiarity with data science frameworks and visualization tools (Pandas, Visualizations (matplotlib, altair, etc), Jupyter Notebooks)
Additional Information
Responsibilities
· Analyze raw data: assessing quality, cleansing, structuring for downstream processing
· Design accurate and scalable prediction algorithms
· Collaborate with engineering team to bring analytical prototypes to production
· Generate actionable insights for business improvements
tion will be kept confidential according to EEO guidelines.
AI Data Science Intern
Data scientist job in Orlando, FL
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
We're not looking for perfectly polished resumes or perfect fits. We're looking for people who break limits, ask hard questions, and don't wait to be told what's next. At Leidos, we're not following the roadmap - we're redrawing it.
**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 $46,800.00 - $84,600.00
The Leidos pay range for this job level is a general guideline onlyand 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.
**About Leidos**
Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ************** .
**Pay and Benefits**
Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at **************/careers/pay-benefits .
**Securing Your Data**
Beware of fake employment opportunities using Leidos' name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system - never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ***************************** .
If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission (******************************* .
**Commitment to Non-Discrimination**
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
REQNUMBER: R-00170158
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.
Easy ApplySr. Data Scientist
Data scientist job in Orlando, FL
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 ********************
Auto-ApplyData Engineer II
Data scientist job in Orlando, FL
"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
Auto-ApplyDATA SCIENCE INTERNSHIP
Data scientist job in Ormond Beach, FL
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:
Senior Data Engineer
Data scientist job in Daytona Beach, FL
Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.
Brown & Brown is seeking a Senior Data Engineer to join our growing team in Daytona Beach, FL!
The Senior Data Engineer will design, implement, and maintain data integration projects focused primarily on the use of Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage. This individual will work with business and technical staff to understand integration requirements and develop agile user stories to resolve them. They will also resolve customer complaints and respond to suggestions for improvements and enhancements. They will act as team leader for all data integration projects; coordinating the work of co-located and distributed team members, including vendor resources.
How You Will Contribute:
Lead the design, implementation, testing, and maintenance of complex system integration processes focused primarily on the use of Azure SQL, Azure Databricks, Data Factory, Logic Apps, APIs, and Blob storage.
Coordinate the work of other systems integration technical resources, both onshore and offshore
Become an expert on Microsoft data integration and reporting products
Participate in requirement analysis and definition
Create technical specifications and system integration test plans
Document data flows using data dictionaries and other data governance tools
Collaborate with different technical teams on best practices
Work as part of an Agile development team to solve problems and develop projects in a fast-paced environment
Follow pre-established guidelines as well as create new guidelines to perform the functions of the job
Demonstrate a high degree of creativity and problem-solving skills
Mature the software development life cycle within your area of responsibility
Support applications using software development methodologies including structured programming, documentation, design, and code review and ensure consistent use of Azure DevOps to manage the full lifecycle
Collaborate with database resources to ensure robust and complete data access and manipulation
Collaborate with IT Operations to ensure hardware and software are aligned to deliver business requirements
Mentor junior and other new developers
Stay up to date with the latest Azure data services and best practices to continuously improve our data infrastructure.
Skills & Experience to Be Successful:
Bachelor's / master's degree in computer science, engineering, or a related field, or in-lieu of degree, equivalent education, training, and work-related experience
10+ years of experience in IT with an emphasis on ETL, Reporting, and systems integration.
Strong expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, Azure Cosmos DB, Azure Data Lake, and Azure Databricks.
Proficiency in programming languages such as Python, SQL, Spark, and Scala.
Experience with data modeling, ETL processes, and data warehousing / data lakes.
Experience designing and building relational databases
Expert knowledge of ETL concepts and techniques.
Proficient in SQL, stored procedures, triggers, and indexes.
Experience integrating with SOAP and Restful Web Services
Experience applying enterprise design and architectural patterns
Experience in end-to-end Software Development Life Cycle (SDLC) projects
Experience with code review and evaluation
Good at understanding requirements and estimation
Team player, have ability and willingness to mentor junior developers
Have passion for learning new technologies and enhancing existing skills
Excellent problem-solving skills.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders, are important.
Self-starter with the ability to work independently.
Excellent Team player
Proactive issue resolution with a positive attitude
Ability to adapt and respond in a rapidly evolving business environment
Understands solution at the project level
Proficient in Microsoft Office (Word, Excel, Outlook, PowerPoint)
Possess experience in the insurance industry and/ or basic knowledge of insurance or financial services.
Experience with Azure DevOps, CI/CD Pipelines and GIT source control (preferred)
Experience with Azure Data Factory, Databricks, Azure SQL, API Management, Power BI (preferred)
Experience with Azure virtual networks and private endpoints(preferred)
Experience working with Agile/Scrum methodologies(preferred)
Experience working with Denodo or any other Data Virtualization Tools (preferred)
Exposure to Data science, AI/ML (preferred)
Teammate Benefits & Total Well-Being
We go beyond standard benefits, focusing on the total well-being of our teammates, including:
Health Benefits
: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
Financial Benefits
: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
Mental Health & Wellness
: Free Mental Health & Enhanced Advocacy Services
Beyond Benefits
: Paid Time Off, Holidays, Preferred Partner Discounts and more.
Not reflective of all benefits. Enrollment waiting periods or eligibility criteria may apply to certain benefits. Benefit details and offerings may vary for subsidiary entities or in specific geographic locations.
The Power To Be Yourself
As an Equal Opportunity Employer, we are committed to fostering an inclusive environment comprised of people from all backgrounds, with a variety of experiences and perspectives, guided by our Diversity, Inclusion & Belonging (DIB) motto, “The Power to Be Yourself”.
Auto-ApplyData Engineer Consultant
Data scientist job in Orlando, FL
Job Description About the job Client's Education Analytics practice is looking for an experienced data engineer with the ability to own the data lifecycle from sourcing through consumption. Our team members are dynamic and able to wear a lot of hats, and this person will need to leverage their breadth of experience within data analysis and engineering. This role will split time between our core product development and consulting projects, where we develop custom data solutions for both K-12 and higher-ed institutions.
You Will
-Source complex data, manage and prepare for consumption into PowerBI visualizations for K-12 & Higher-Ed data products, including early warnings, live progress monitoring, graduation & school-grade predictors
-Be comfortable across the data lifecycle and be able to jump into tasks related to front end prototyping and dashboard development as needed
-Contribute to data architecture and strategy for our core education analytics product development.
-Build for the scalability of a turnkey solution.
-Engineer custom data solutions for specific consulting clients, including contributing to data architecture and management.
-Work with cross-functional client stakeholders to gather, analyze, and understand the user requirements
-Act as a liaison to the client stakeholders for the models, analysis or reports created; understand the impact of specific drivers and provide insights.
-Continually refine models and/or reports and analyze results.
-Utilize a core management consulting skill set including business analysis, project management, and process analysis.
-Work with managing director(s) to successfully deliver to clients
-Oversee and direct the work of 2-3 junior team members assisting with troubleshooting of data problems and client requests
You Have
-2-3 years of data engineering experience, preferably with consulting experience OR in an education institution
-Exposure to a variety of areas of data & analytics, including data management, statistical programming, and visualization
-Experience with large enterprise level data environments and working with 1B+ record data sets
-Skills with the Azure Tech Stack, including: Data Lake, Data Factory, Data Bricks or Analytics, and Azure Machine Learning
-Reporting & Dashboard development experience with PowerBI SSRS Reports Migration to Paginated Reports
-Understanding of management consulting functional skills including: business analysis, process improvement, solutions architecture, and project management
Extras we are looking for
-Experience in Education Analytics, either in a research or professional role
-Excellent written and verbal communication skills
-Knowledgeable in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
-Bachelor's degree in a quantitative major; Graduate degree in data & analytics field preferred
Data Engineer
Data scientist job in Orlando, FL
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.
Azure Sr. Data Engineer
Data scientist job in Orlando, FL
Employment Type: FTE
Level: Experienced/Sr. Level
GENERAL DESCRIPTION & RESPONSIBILITIES
As a Sr. Data Engineering Consultant, you will architect, build, and optimize scalable data pipelines, data lakes, warehouses, and analytics platforms in the Microsoft ecosystem. Collaborate directly with clients to drive successful data modernization and advanced analytics projects while mentoring teams and sharing best practices.
Key Responsibilities:
Architect, develop, and deploy robust, scalable data solutions using Azure Synapse, Databricks, Fabric, Data Factory, and related tools.
Design and optimize ETL/ELT data pipelines with Python, PySpark, and SQL for structured and unstructured data.
Build modern data architectures: data lakes, warehouses, lakehouses, and streaming platforms.
Implement and automate data ingestion, transformation, modeling, and validation within Azure and Databricks.
Lead end-to-end Power BI or Fabric analytics solutions, including semantic modeling, DAX, and data visualization.
Advice on data modernization, governance (Purview, Entra ID), and security best practices aligned with Microsoft frameworks.
Partner with clients and project teams, translate business requirements into actionable architectures, and communicate technical plans to stakeholders.
Mentor peers and guide teams on best practices, technical standards, and continuous learning in the Microsoft/Databricks ecosystem.
Author high-quality project, design, and technical documentation as well as support pre-sales and business development activities as needed.
PLACEMENT CRITERIA & REQUIREMENTS
Bachelors in Computer Science, Engineering, or related discipline (Master's preferred).
5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure and Databricks.
Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices.
Advanced knowledge of Databricks, Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.
Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB).
Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.
Excellent communication, project leadership, and stakeholder management skills.
DESIRED SKILLS
Bachelors in Computer Science, Engineering, or related discipline (Master's preferred).
5+ years of hands-on experience designing, building, and deploying data solutions in Microsoft Azure.
Strong expertise in Python, SQL, PySpark, and modern ETL data engineering practices.
Advanced knowledge of Azure Data Factory, Azure Synapse, Fabric, Azure SQL/Dataverse, and Power BI.
Experience with data modeling, pipeline optimization, performance tuning, and cloud-based storage (OneLake, Data Lake, CosmosDB).
Deep understanding of data governance, security, and compliance frameworks within Microsoft cloud.
Excellent communication, project leadership, and stakeholder management skills.
NON-TECHNICAL SKILLS
Communication
Clear and effective verbal and written communication for both technical and non-technical audiences
Confident presentation skills, including the ability to explain complex concepts to senior clients.
Teamwork & Leadership
Ability to mentor, coach, and lead cross-functional teams in collaborative environments
Ability to foster a problem-solving culture and contribute meaningfully to team objectives.
Client Engagement
Strong sense of responsibility, accountability, and trust-building with client stakeholders.
Ability to manage client expectations regarding scope, timeline, and cost.
Adaptability & Learning
Growth mindset and willingness to continuously improve skills and adopt new technologies.
Comfort in fast-paced consulting environments and ability to quickly learn new tools and concepts.
Organization & Initiative
Results-oriented approach with a reputation for getting things done.
Strong organizational skills, ability to independently drive projects, and proactive identification and mitigation of risks.
CYCLOTRON EXPECTATIONS
These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes.
Communication and Interpersonal Skills - verbal and written, professional, concise, and effective.
Collaboration and Teamwork - share knowledge, build alliances, show respect.
Personal Ownership and Responsibility - take initiative, solve problems, be fully present.
Customer Focus - Proactive management or Client expectations and needs.
Time Management and Productivity - Set Goals, Commit, Record, Communicate
Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team.
Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
Auto-ApplyData Engineer
Data scientist job in Orlando, FL
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.
IT Data Engineer - Westcor Land Title Insurance Company
Data scientist job in Maitland, FL
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Hybrid Role - must be able to commute to our Maitland, FL office
In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making.
Essential Functions:
Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization.
Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement.
Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development.
Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes.
Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations.
Monitor performance and troubleshoot issues within ETL projects and related data environments.
Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools.
Ensure data quality and integrity by implementing best practices in data governance and validation.
Education and Experience:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred).
Strong proficiency in relational databases and data querying techniques.
Expertise in data modeling, ETL processes, and data integration techniques.
Experience with using programmatic tools for data manipulation and analysis.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Knowledge of data visualization tools like Power BI, Tableau, or similar.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Ability to learn quickly, be adaptable, flexible, and creative.
Demonstrated capability to work well independently and as part of a team.
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards.
Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards.
Must be able to sit, stand, stoop, or bend for an extended period (8 hours).
Must be able to listen and speak clearly over the phone.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
We offer some great perks:
Health, dental, and vision benefits.
Employer-paid disability and life insurance.
Flexible spending accounts.
401K with company match.
Paid time off and company-paid holidays.
Wellness resources.
Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.
Data Acquisition Engineer
Data scientist job in Casselberry, FL
**A Snap Shot of your Day:** Siemens Energy is looking for a highly motivated, skilled, data acquisition engineer with experience in testing data acquisition and instrumentation. A typical day could be a call from an internal customer (engineering) asking for help chasing down a problem with a gas turbine component at a site. They need to implement temperatures and dynamic pressures to determine what specific conditions are causing the part to fail. Options are reviewed along with equipment availability and cost. A plan is formulated. Equipment and personnel schedule test execution and collect data to help engineering evaluate the component.
**How You'll Make an Impact**
+ Plan, develop, and prepare data acquisition equipment for data collection on gas turbine components.
+ Travel to field sites to support testing validation of gas turbines.
+ Ensure proper data collection and storage for all test campaigns.
+ Ensure overall success on testing projects on schedule, within budget, with quality.
+ Mentor staff in data acquisition techniques and trouble shooting.
**What You Bring**
+ BS in engineering and/or work experience in a related field.
+ 5 + Experience in data acquisition techniques - static or dynamic pressures, vibrations, temperatures, acoustic sensors, tip clearance and/or other sensor applications.
+ Willingness to travel and work long hours in support of testing projects, including international short-term assignments.
+ Teamwork skills to help ensure our small site teams are effective, efficient, and fiscally responsible.
+ Project management skills to lead small testing projects.
+ Highly motivated, proactive, and self-directed.
+ Excellent interpersonal and communication skills.
+ Preferred experience in the gas turbine or aerospace industry.
+ U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
**About the Team**
**Gas Services**
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
**Who is Siemens Energy?**
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: ********************************************
**Rewards**
+ Career growth and development opportunities; supportive work culture
+ Company paid Health and wellness benefits
+ Paid Time Off and paid holidays
+ 401K savings plan with company match
+ Family building benefits
+ Parental leave
****************************************
\#LGTEN #ELECTRON
Equal Employment Opportunity Statement
Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local
law.
IT Data Engineer - Westcor Land Title Insurance Company
Data scientist job in Maitland, FL
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Hybrid Role - must be able to commute to our Maitland, FL office
In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making.
Essential Functions:
Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization.
Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement.
Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development.
Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes.
Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations.
Monitor performance and troubleshoot issues within ETL projects and related data environments.
Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools.
Ensure data quality and integrity by implementing best practices in data governance and validation.
Education and Experience:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred).
Strong proficiency in relational databases and data querying techniques.
Expertise in data modeling, ETL processes, and data integration techniques.
Experience with using programmatic tools for data manipulation and analysis.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Knowledge of data visualization tools like Power BI, Tableau, or similar.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Ability to learn quickly, be adaptable, flexible, and creative.
Demonstrated capability to work well independently and as part of a team.
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards.
Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards.
Must be able to sit, stand, stoop, or bend for an extended period (8 hours).
Must be able to listen and speak clearly over the phone.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
We offer some great perks:
Health, dental, and vision benefits.
Employer-paid disability and life insurance.
Flexible spending accounts.
401K with company match.
Paid time off and company-paid holidays.
Wellness resources.
Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.
IT Data Engineer - Westcor Land Title Insurance Company
Data scientist job in Maitland, FL
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Hybrid Role - must be able to commute to our Maitland, FL office
In this position, you will play a crucial role in managing and optimizing our data processes within our emerging Data Warehouse/Data Lake environments. This position requires a strong foundation in ETL systems, SQL development, and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects. The ideal candidate will have a strong background in data analysis and data visualization with specific expertise in using SQL to transform and analyze data. You will work closely with stakeholders across the organization to deliver actionable insights and support data-driven decision-making.
Essential Functions:
Collaborate with data engineers, analysts, and other stakeholders with data flows, scripts, and models using SQL, SnapLogic, and other ETL systems, optimizing for performance and reliability throughout the organization.
Assist in the development and testing of new features, models, or data processes within our data warehouses, leveraging feedback to drive continuous improvement.
Document data processes, models, and workflows within our data warehouses for internal knowledge sharing and to support ongoing learning and development.
Ensure integrity and quality of data throughout the entire data lifecycle, from ingestion to analysis, by implementing data validation and cleansing processes.
Maintain security protocols and data governance practices to ensure compliance with organizational policies and industry regulations.
Monitor performance and troubleshoot issues within ETL projects and related data environments.
Create and maintain interactive dashboards and reports using SSRS, Power BI, or similar visualization tools.
Ensure data quality and integrity by implementing best practices in data governance and validation.
Education and Experience:
Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
3+ years of experience in a data engineering role, with a focus on SQL development (MS SQL Server experience preferred).
Strong proficiency in relational databases and data querying techniques.
Expertise in data modeling, ETL processes, and data integration techniques.
Experience with using programmatic tools for data manipulation and analysis.
Familiarity with cloud platforms such as Azure, AWS, or GCP.
Knowledge of data visualization tools like Power BI, Tableau, or similar.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
Ability to learn quickly, be adaptable, flexible, and creative.
Demonstrated capability to work well independently and as part of a team.
Physical Demands
Ability to safely and successfully perform the essential job functions consistent with the ADA, FMLA, and other federal, state, and local standards, including meeting qualitative and/or quantitative productivity standards.
Ability to maintain reasonably regular, punctual attendance consistent with the ADA, FMLA, and other federal, state, and local standards.
Must be able to sit, stand, stoop, or bend for an extended period (8 hours).
Must be able to listen and speak clearly over the phone.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate.
We offer some great perks:
Health, dental, and vision benefits.
Employer-paid disability and life insurance.
Flexible spending accounts.
401K with company match.
Paid time off and company-paid holidays.
Wellness resources.
Note: This job description is not intended to be an exhaustive list of duties, responsibilities, or qualifications associated with the job.
AI Data Science Intern
Data scientist job in Orlando, FL
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
We're not looking for perfectly polished resumes or perfect fits. We're looking for people who break limits, ask hard questions, and don't wait to be told what's next. At Leidos, we're not following the roadmap - we're redrawing it.
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 $46,800.00 - $84,600.00
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.
Auto-ApplyDATA SCIENCE INTERNSHIP
Data scientist job in Orlando, FL
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-Lead - Project Planning and Execution
Data scientist job in Orlando, FL
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 ********************
Auto-ApplyData Acquisition Engineer
Data scientist job in Casselberry, FL
About the Role Florida Casselberry * Country: UNITED STATES OF AMERICA * State/Province/County: North Carolina * City: Charlotte Company Siemens Energy, Inc. Organization Gas Services Business Unit Central Full / Part time Full-time Experience Level Mid-level Professional
A Snap Shot of your Day:
Siemens Energy is looking for a highly motivated, skilled, data acquisition engineer with experience in testing data acquisition and instrumentation.
A typical day could be a call from an internal customer (engineering) asking for help chasing down a problem with a gas turbine component at a site. They need to implement temperatures and dynamic pressures to determine what specific conditions are causing the part to fail. Options are reviewed along with equipment availability and cost. A plan is formulated. Equipment and personnel schedule test execution and collect data to help engineering evaluate the component.
How You'll Make an Impact
* Plan, develop, and prepare data acquisition equipment for data collection on gas turbine components.
* Travel to field sites to support testing validation of gas turbines.
* Ensure proper data collection and storage for all test campaigns.
* Ensure overall success on testing projects on schedule, within budget, with quality.
* Mentor staff in data acquisition techniques and trouble shooting.
What You Bring
* BS in engineering and/or work experience in a related field.
* 5 + Experience in data acquisition techniques - static or dynamic pressures, vibrations, temperatures, acoustic sensors, tip clearance and/or other sensor applications.
* Willingness to travel and work long hours in support of testing projects, including international short-term assignments.
* Teamwork skills to help ensure our small site teams are effective, efficient, and fiscally responsible.
* Project management skills to lead small testing projects.
* Highly motivated, proactive, and self-directed.
* Excellent interpersonal and communication skills.
* Preferred experience in the gas turbine or aerospace industry.
* U.S. Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
Gas Services
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: ********************************************
Rewards
* Career growth and development opportunities; supportive work culture
* Company paid Health and wellness benefits
* Paid Time Off and paid holidays
* 401K savings plan with company match
* Family building benefits
* Parental leave
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#LGTEN #ELECTRON
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