Data scientist jobs in Jacksonville, FL

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

**US Citizens only** **Please note that pursuant to a government contract, this specific position requires U.S. citizen, U.S. national or protected individual (as defined in 8 U.S.C. § 1324b(a)(3)) status.** **Job Purpose** Intercontinental Exchange is seeking a Data Scientist 1 to join our Loan Data team. As a Data Scientist 1, you will play a critical role in analyzing complex loan data sets to identify trends, develop data products, and drive business insights that inform our clients' investment decisions and business strategies. You will work closely with our team to design, develop, and implement data-driven solutions that meet the evolving needs of our clients and drive growth in the loan market. Intercontinental Exchange (ICE) is a global network of exchanges and clearing houses that operates a range of markets, including financial, agricultural, and energy. Our exchanges, including the New York Stock Exchange (NYSE), ICE Futures, and ICE Clear, provide a platform for buyers and sellers to trade and manage risk. We are committed to delivering innovative solutions that meet the evolving needs of our clients and drive growth in the global economy. **Responsibilities** + Loan Data Analysis: + Collect, process, and analyze large loan data sets from various sources (e.g., loan origination systems, servicing platforms). + Identify trends, patterns, and anomalies in loan data using statistical techniques and data visualization tools. + Develop and maintain databases and data systems to support loan data analysis and modeling. + Insight Generation: + Communicate complex loan data insights and model results to non-technical stakeholders. + Develop and present reports, dashboards, and visualizations to support business decisions. + Collaborate with stakeholders to identify business problems and develop data-driven solutions. + Data Engineering: + Design, develop, and maintain data pipelines and architectures to support loan data analysis and modeling. + Collaborate with data engineers to implement data solutions and integrate with existing systems. + Research and Development: + Stay up-to-date with industry trends, research, and developments in data science, machine learning, and related fields. + Explore new technologies, tools, and methodologies to enhance existing loan data solutions and models. **Knowledge and Experience** + Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. + 3+ years of relevant work experience. + Proficiency in programming languages (e.g., Python, R, SQL) and software tools (e.g., pandas, NumPy, scikit-learn). + Experience with loan data analysis, machine learning, and data visualization. + Familiarity with databases and data systems. + Strong analytical and problem-solving skills, with the ability to analyze complex loan data sets and develop creative solutions. + Experience with data visualization tools (e.g., Sigma, Tableau, Power BI). + Excellent communication and collaboration skills, with the ability to work effectively with technical and non-technical stakeholders. **Preferred Knowledge and Experience** + Master's or Ph.D. in Computer Science, Statistics, Mathematics, Data Science, or a related field. + Certified Data Scientist (CDS), Certified Analytics Professional (CAP), or other relevant certifications. + Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud, Snowflake). + Familiarity with loan markets, loan products, and lending regulations. Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.

JobID: 210686904 JobSchedule: Full time JobShift: Day : Join a powerhouse team at the forefront of Home Lending Data & Analytics, where we partner with Product, Marketing, and Sales to solve the most urgent and complex business challenges. Our team thrives in a fast-paced, matrixed environment, driving transformative impact through bold analytics and innovative data science solutions. We are relentless in our pursuit of actionable insights, seamlessly engaging with stakeholders and redefining what's possible through strategic collaboration and visionary problem solving. If you're ready to shape the future of home lending with breakthrough ideas and data-driven leadership, this is the team for you. We are seeking a senior Data Scientist Lead to join our Home Lending Data & Analytics team, supporting Originations Product Team. This strategic role requires a visionary leader with a consulting background who excels at translating complex data into actionable business insights. The ideal candidate will be a recognized thought leader, demonstrating exceptional critical thinking and problem-solving skills, and a proven ability to craft and deliver compelling data-driven stories that influence decision-making at all levels. Success in this role requires not only technical expertise, but also the ability to inspire others, drive innovation, and communicate insights in a way that resonates with both technical and non-technical audiences. Key Responsibilities: * Identify, quantify, and solve obstacles to business goals using advanced business analysis and data science skillsets. * Recognize and communicate meaningful trends and patterns in data, delivering clear, compelling narratives to drive business decisions. * Serve as a data expert and consultant to the predictive modeling team, identifying and validating data sources. * Advise business and technology partners on data-driven opportunities to increase efficiency and improve customer experience. * Proactively interface with, and gather information from, other areas of the business (Operations, Technology, Finance, Marketing). * Extract and analyze data from various sources and technologies using complex SQL queries. * Summarize discoveries with solid data support and quick turnaround, tailoring messages for technical and non-technical audiences. * Influence upward and downward-mentor junior team members and interface with business leaders to drive strategic initiatives. * Foster a culture of innovation, attention to detail, and results within the team. Qualifications: * 6+ years of experience in business strategy, analytics, or data science. * 2+ years of experience in business management consulting. * Strong experience with SQL (query/procedure writing). * Proficiency in at least one versatile, cross-technology tool/language: Python, SAS, R, or Alteryx. * Demonstrated ability to craft compelling stories from data and present insights that influence decision-making. * Clear and succinct written and verbal communication skills, able to frame and present messages for different audiences. * Critical and analytical thinking, with the ability to maintain detail focus and retain big picture perspective. * Strong Microsoft Excel skills. * Ability to work independently, manage shifting priorities and projects, and thrive in a fast-paced, competitive environment. * Excellent interpersonal skills to work effectively with a variety of individuals, departments, and organizations. * Experience mentoring or leading teams is highly desirable. Preferred Background: * Experience in Mortgage Banking or Financial Services industry preferred. * Previous experience in consulting, with exposure to a variety of industries and business challenges. * Track record of successful stakeholder engagement and change management. * Recognized as a thought leader, with experience driving strategic initiatives and innovation.

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:

Insight Global's client is looking for a Senior Data Engineer to join their Finance and Operations team, responsible for designing and maintaining Azure-based data pipelines and APIs, building and optimizing ETL processes, managing large datasets, troubleshooting data issues, and documenting technical solutions. The ideal candidate will have strong coding skills in Python and SQL, experience with dbt, Azure DevOps, and CI/CD best practices, and a solid understanding of data warehousing principles. Success in this role requires excellent communication, a collaborative mindset, and proactive problem-solving to mitigate blockers and deliver scalable solutions. Candidates with experience in tools like Snowflake, Airflow, or Terraform, familiarity with infrastructure as code, and exposure to financial and operational data domains will stand out. This is a full-time onsite position in either the Jacksonville, D.C., or New Jersey office, working closely with global teams to ensure data quality, automation, and continuous improvement. Compensation ranges from $70-74 an hour based on experience. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements st Haves: - Experience: 8+ years in data engineering. - Technical Expertise: § Azure (cloud platform) § SQL (advanced ETL and query optimization) § dbt (data transformation pipelines) § Python (data transformation and automation scripts) § Azure DevOps / GitHub (CI/CD pipelines, source control) Data warehousing and ETL best practices Day to Day: - Develop and maintain Azure-based data pipelines for Finance and Operations. - Build and optimize ETL workflows using SQL and dbt. - Write Python scripts for data transformation and automation. - Deploy infrastructure as code and manage cloud data solutions. - Collaborate with project managers and contractors across global teams. - Ensure data quality and compliance with best practices. - Troubleshoot and resolve data-related issues promptly. Document technical solutions and maintain test scripts. Plusses: - Experience with similar tools or technologies (e.g., Snowflake, Airflow, Terraform) - Familiarity with infrastructure as code - Ability to participate in architectural decisions Strong problem-solving and continuous improvement mindset

We're looking for a Data Engineer to design, build, and maintain scalable data pipelines and platforms that support analytics, reporting, and data-driven decision-making. This role is ideal for someone who enjoys working with large datasets, modern cloud data stacks, and collaborating closely with analytics, BI, and application teams. What You'll Do + Design, build, and maintain ETL/ELT pipelines for structured and semi-structured data + Develop and optimize data models for analytics and reporting use cases + Ingest data from multiple sources including APIs, databases, and third-party platforms + Ensure data quality, reliability, and performance across pipelines + Work with stakeholders to understand data requirements and translate them into scalable solutions + Monitor and troubleshoot pipeline failures and data inconsistencies + Implement data governance, security, and best practices + Document data flows, schemas, and operational processes Requirements Required Qualifications + 3+ years of experience in data engineering or related roles + Strong experience with SQL and relational databases + Hands-on experience with ETL/ELT tools or custom data pipelines + Proficiency in at least one programming language (Python preferred) + Experience working with cloud data platforms (AWS, Azure, or GCP) + Solid understanding of data modeling concepts (star/snowflake schemas) Preferred Qualifications + Experience with tools such as Airflow, dbt, Spark, or Kafka + Familiarity with data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse) + Experience with API-based data ingestion + Knowledge of data governance, security, and compliance best practices + Experience supporting BI tools such as Power BI, Tableau, or Looker Why Join Us + Work on impactful, data-driven initiatives + Modern cloud and analytics technology stack + Collaborative, growth-oriented engineering culture + Competitive compensation and benefits Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) .

About the role As a Data Engineer (Contract to hire) with Auxo Solutions, your responsibilities encompass the implementation of strategies for modernizing/remediating platforms by leveraging modern tools and integrating new data platform capabilities. Your role involves close collaboration with diverse teams, including UX designers, application engineers, technical project managers, and application developers. The primary objective is to guarantee the delivery of top-tier applications that consistently exceed customer expectations. What you'll do Collaborate with project team(s) to implement new technologies, design ETL processes, and administer databases. Design, develop, build, and own robust and high-performance data pipelines/APIs using Azure Data Factory/Databricks. Collaborate with the Data Engineering team to assemble large, complex data sets which meet functional and non-functional business requirements. Architect infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Data Build Tool (dbt) and Azure technologies. Create and manage processes that support data transformation, data structures, metadata, dependency and workload management. Define and document cloud solution architecture(s) including technical designs and diagrams. Generate and document unit test scripts. Take a proactive approach in the overall ownership of data quality, overseeing architectural decisions and evaluating system implementations. Act as the escalation point of contact for Data Engineering issues. Propose and present solution recommendations, offering technical guidance to project teams. Provide innovative solutions to address complex business problems and challenges. Qualifications Bachelors' Degree in Computer Science or a related field, along with relevant Tech/Software Certifications (Azure Cloud Certifications strongly preferred). At least 5 years' of experience working in Data Engineering, with strong proficiency in Azure services such as: Data Factory, Synapse Analytics, Data Lake, Azure SQL, and hybrid Azure Stack environments. Experience deploying Azure Infrastructure-as-code (IaC) and building CI/CD pipelines. Strong skills in ETL workflows, data modeling, and schema optimization. Strong command of Python, SQL, and scripting for automation along with data warehousing and ETL best practices. Insurtech and/or Insurance experience is a plus. Ability to navigate an Agile/Waterfall software development project for external clients with very little oversight. Other Info This is a contract position expected to last about 6 months with a high likelihood of converting to FTE either with Auxo or directly with one of our end clients. The role requires occasional travel to client sites in the Jacksonville FL area (once a month). The interview process includes several coding exams, to be completed without the use of AI. The selected candidate will be subject to background checks, including employer, education, and location verifications. The candidate may also be asked to verify identification in person. Auxo team members must be available to work 8:30am - 5:30pm EDT on weekdays. No agencies please - no C2C - please do not reach out to us asking if we work with agencies.

Job DescriptionSQL DATA ENGINEER HYBRID (JACKSONVILLE, FL) ARC Group has an immediate opportunity for a Senior SQL Data Engineer! This position is a hybrid position located in Jacksonville, FL, working 2-3 days onsite and other days remote. This is starting out as a contract position running through April 2025 with strong potential to extend longer or convert to FTE. This is a fantastic opportunity to join a well-respected organization offering tremendous career growth potential. At ARC Group, we are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We believe that diverse perspectives lead to better innovation and problem-solving. As an organization, we embrace diversity in all its forms and encourage individuals from underrepresented groups to apply. C2C OR W2 Interview: 1st round: Video Webex interview 2nd round: Face-to-Face interview in Jacksonville, FL Reference# 17429-1 Onsite in Jacksonville, FL [Must be willing to work onsite from Jacksonville, FL] JOB SUMMARY: Responsible for development, programming, coding of Information Technology solutions using Python to enable enterprise Customer Experience applications. Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. REQUIREMENTS: Experience with unit testing, release procedures, coding design and documentation protocol as well as change management procedures Demonstrated organizational, analytical and interpersonal skills In-depth understanding of the systems development life cycle May include database knowledge in; SQL, MySQL, Oracle DB, PostgreSQL, Cassandra, dBase, MS Access, etc Responsible for development, programming, coding of Information Technology solutions using Python Responsible for documentation of the system, conduct unit tests, peer code reviews and maintenance of internally developed applications, evaluation and performance testing of purchased products. Responsible for including IT Controls to protect the confidentiality, integrity, as well as availability of the application and data processed or output by the application. Excellent understanding of RESTful Architecture style. We expect the candidate to have ability to take methodical approach to evaluate various libraries with pros and cons to meet business / technical requirements. Excellent understanding of Python programming mode and required libraries to develop REST API Services. Must have demonstrated experience developing REST APIs using Python. Must have demonstrated experience processing batch files using Python Must have demonstrated experience developing scheduling of batch processes Proficiency using standard desktop applications such as MS Suite and flowcharting tools such as Visio REQUIRED EDUCATION/EXPERIENCE: Related Bachelors degree or related work experience 5+ years related work experience, professional experience with technical design and coding in the IT industry UNIX or Linux shell scripting Advanced SQL scripting/querying Working knowledge of PySpark as well as Hadoop environment required Strong focus on working/analysis with very large data sets (millions of records) Technical curiosity and willingness to learn (asks questions, learns processes, data flow, etc.) Would you like to know more about our new opportunity?For immediate consideration, please apply online and view all our open positions at ******************* ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and client's needs and goals and serving both with integrity and a shared desire to succeed. At ARC Group, we are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position is offered with no fee to candidate.

Are you ready to play a pivotal role in shaping the future of Data & Analytics? As a valued member of our Home Lending Data & Analytics Applied AI/ML team, you will be at the forefront of our firm-wide initiatives to innovate and enhance Data & Analytics functions. Your contributions will be instrumental in transforming the processes and tools for data, analysis, and modeling. As an Applied AI/ML Engineer within our Home Lending Data & Analytics team, you will work in close coordination with various teams in Data & Analytics, including Data Owners, Reporting, Analysis, and Modeling. Your role will involve designing and implementing AI-powered solutions that boost operational efficiency, improve employee experience, and improve data quality. Leveraging your expertise in artificial intelligence and data analytics, you will develop state-of-the-art applications that simplify processes and yield tangible business outcomes. Your valuable contributions will play a pivotal role in transforming our way of working, ensuring we remain at the cutting edge of the industry. Job Responsibilities: Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement Required qualifications, capabilities, and Skills: 7+ years of work experience. Masters degree in a quantitative field such as Data Science, Computer Science, Engineering, Math, Physics, etc Proven track record of delivering projects in the AI/ML and data analytics space Proficiency in Python. Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents. Strong understanding of software engineering principles and practices, including version control, testing, and code optimization Technical documentation experience preferred. Preferred qualifications, capabilities and skills: Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred.

Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

SYSRS IT Services specializes in offering IT Services: Technology Services, Consulting Services, Software Solutions and Applications. Incorporated in 2013, SYSRS IT Services focuses on innovative and practical delivery of services to meet the critical IT missions of its clients. At SYSRS IT Services, we are committed to serving our customers with a wide range of information technology services and solutions with guaranteed satisfaction, friendly and professional service, during convenient hours of operation, and resulting in a great onsite/offsite experience. Job Requisition: Sr. Data Analytics Engineer Job Description: Leidos is seeking a Senior Data Analytics Engineer to develop a new data analytics platform service offering for a federal client. You will contribute to establishing the ingestion patterns, data storage patterns, data transformation methods, and data lake formation. You'll support data architecture-related activities through business needs analysis and routine issue resolution, including data pipeline design and data lake solution design. Put your consulting expertise to use to drive our future Data Analytics platform. Primary Responsibilities: Develop future state data architecture in consultation and alignment with the enterprise architecture team. Help the architecture team put together conceptual, logical, and physical data architecture and define the technical roadmap to the future state. Design data warehouse/data marts/data lakes/data hubs solutions and work with various data warehouse technologies to develop plans that best support the Program. In collaboration with technical leads and subject matter experts (SME), develop and manage architecture framework and design patterns of data analytics, integration, and visualization platform as per standards and industry best practices. Ability to analyze and evaluate new products as it relates to data lake/processing/analytics and suggest platform architecture modifications as necessary Participate in customer meetings to review business requirements and maintain the traceability of data sources and artifacts. Support data migration from the current state to the future state platform. Provide technical guidance and consultation and clarify technical and business requirements to development teams. Translate business needs into enterprise data architecture requirements and identify and forecast future state data architecture alternatives. Experiment with cloud-native, serverless tools and advise on new tools to determine optimal solutions given the requirements dictated by the use case. Expert in both traditional and modern data architecture and processing concepts, including relational databases, data warehousing, big data, NoSQL, and business analytics Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data. Ability and desire to conduct hands-on data tool development work to complete proofs of concept Provide periodic briefings to peers and leadership on the state of the data architecture. Ability to multitask, problem-solving skills, and customer management skills are required. Ability and desire to work with other program staff and customers to reach design decisions within given constraints Qualifications Basic Qualifications: Candidate must have bachelor's or master's degree with prior relevant experience. Must have 8+ years of Data Analytics experience. Experience in data pipeline architecture design, development, and optimization. Working experience or familiarity with AWS data analytics tools like Redshift, EMR, Data Lake Formation, AWS Glue, AWS Glue Brew, AWS Athena, Lambda, AWS Data Pipeline, Cognito, Quicksight, and S3. Experience with a variety of database technologies: RDBMS, NoSQL, search, data lakes. Experience with one or more visualization tools such as Power BI, Tableau, and Qlik. Additional Information Preferred Qualifications: Experience with AWS-specific data management and analytics strategies. Experience doing trade analysis on multiple data analytics tooling options supporting data lake and visualization layer.

The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Quantitative Analytics & Research Analyst The energy landscape is evolving, and so are the challenges our Clients face. TEA's Quantitative Analytics & Research team is looking for an innovative and analytical mind to help transform complex market trends into cutting-edge solutions. If you're passionate about machine learning, optimization, and statistical modeling and thrive in a fast-paced environment where curiosity meets impact, this is your opportunity to make a difference! Why You'll Love This Role: Build models that drive the future of energy markets and empower clients to make smarter, data-driven decisions. Work alongside a collaborative team of data scientists and industry experts who thrive on tackling complex challenges. Explore new ideas, experiment with innovative solutions, and see your work deliver impact across a wide range of clients. What You'll Do: Clean, transform, and validate structured and unstructured data to ensure data quality and reliability. Maintain existing machine learning and optimization models, updating them as needed. Research and experiment with new methods to enhance current models as well as develop new solutions. Collaborate with cross-functional teams to maintain data pipelines. Collaborate with cross-functional teams to understand the business requirements and deliver solution effectively. Document workflows, methodologies, and data sources to ensure transparency and reproducibility. What You Bring to the Team: Passion for analytics and problem-solving with a drive to find meaningful insights in complex data. Strong skills in machine learning, predictive modeling, and optimization techniques such as regression, neural networks, and feature engineering. Solid understanding of electricity markets, including economic dispatch, marginal pricing, and market clearing rules. Proficiency in R or Python, with a working knowledge of web design (HTML, CSS, JavaScript, R-Shiny),Stochastic approach, and database queries. Your Growth Path at TEA: Level 1 Data Scientist: Operate and maintain models, gaining hands-on experience with TEA's tools and industry functions. Level 2 Data Scientist: Design and refine analytical models, assess their effectiveness, and contribute to cutting-edge solutions. Level 3 Data Scientist: Provide strategic insights, manage projects, and support TEA's business development initiatives. Level 4 Senior Data Scientist: Serve as a subject matter expert, mentor team members, and lead high-impact initiatives. What You Need to Succeed: Bachelors and/or Masters in Data Science, Computer Science, Engineering or other relevant field. Industry experience in analyzing data, maintaining and developing models is preferred. Proficiency in programming languages Python or R. Strong foundation in the following subjects: statistics, machine learning, and optimization. Background in energy and power systems is preferred. Eagerness to learn, receive feedback, and grow technical depth. Strong problem-solving and analytical thinking. Good communication skills; ability to understand the requirements and present the results to stakeholders. Tools & Technology You'll Work With: Microsoft Word, Excel/Visual Basic, and other advanced analysis tools. Large-scale utility simulation software such as PROMOD, PLEXOS, AuroraXMP, GE Maps, Dayzer, PSS/e, and PowerWorld. Decision analysis techniques such as decision trees and influence diagrams. Compensation & Benefits: Competitive Salary: Based on experience, level and location. Incentives: Annual target short-term incentive rate of 17.5% of base salary based on corporate, team, and individual performance. Benefits: Paid Time Off starting at 17 days per year, plus nine paid holidays. 401(a) employer contribution and 457(b) deferred compensation retirement savings plans. Medical, dental, vision, life, AD&D, and disability insurance. Health savings and flexible spending accounts. A great work-life balance and visibility to senior executives in a supportive company culture. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.

Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies. Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country. Job Description This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology. Qualifications Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus. Data Scientist • Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required • Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks • Implementing processes that improve and lead to greater data quality • Conducting statistical analyses to develop strategies • Documenting all processes and research • Building new algorithms and model training • Executing projects involving analytics • Identifying data patterns and trends • Analyzing data to develop predictive models • Creating, managing, and maintaining analytically rigorous data • Possessing a solid machine learning foundation • Proven record of successful statistical product delivery • Ability to execute health insurance use cases via statistical applications such as R or Python • Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark) • Significant experience with SQL and working with large datasets required • Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and running diagnostics • Performing graphical model analysis • Strong verbal and written communication skills Additional Information Candidates would Roll Perm at some point

Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. **Job responsibilities** + Understand and translate business needs into data models supporting long-term solutions + Convert data into actionable insights + Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues + Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems **Required qualifications, capabilities, and skills** + 3+ years' experience working in an analytical role + BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline + Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions + Strong storytelling capabilities + Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business **Preferred qualifications, capabilities, and skills** + Master's Degree + Functional industry experience in finance, operations, sales, marketing, or credit/risk + Knowledge of the mortgage industry Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Job Description Our Client A fast moving and venture backed advertising technology startup based in San Francisco. They have raised twelve million dollars in funding and are transforming how business to business marketers reach their ideal customers. Their identity resolution technology blends business and consumer signals to convert static audience lists into high match and cross channel segments without the use of cookies. By transforming first party and third party data into precision targetable audiences across platforms such as Meta, Google and YouTube, they enable marketing teams to reach higher match rates, reduce wasted advertising spend and accelerate pipeline growth. With a strong understanding of how business buyers behave in channels that have traditionally been focused on business to consumer activity, they are redefining how business brands scale demand generation and account based efforts. About Us Catalyst Labs is a leading talent agency with a specialized vertical in Applied AI, Machine Learning, and Data Science. We stand out as an agency thats deeply embedded in our clients recruitment operations. We collaborate directly with Founders, CTOs, and Heads of AI in those themes who are driving the next wave of applied intelligence from model optimization to productized AI workflows. We take pride in facilitating conversations that align with your technical expertise, creative problem-solving mindset, and long-term growth trajectory in the evolving world of intelligent systems. Location: San Francisco Work type: Full Time, Compensation: above market base + bonus + equity Roles & Responsibilities Lead the design, development and scaling of an end to end data platform from ingestion to insights, ensuring that data is fast, reliable and ready for business use. Build and maintain scalable batch and streaming pipelines, transforming diverse data sources and third party application programming interfaces into trusted and low latency systems. Take full ownership of reliability, cost and service level objectives. This includes achieving ninety nine point nine percent uptime, maintaining minutes level latency and optimizing cost per terabyte. Conduct root cause analysis and provide long lasting solutions. Operate inference pipelines that enhance and enrich data. This includes enrichment, scoring and quality assurance using large language models and retrieval augmented generation. Manage version control, caching and evaluation loops. Work across teams to deliver data as a product through the creation of clear data contracts, ownership models, lifecycle processes and usage based decision making. Guide architectural decisions across the data lake and the entire pipeline stack. Document lineage, trade offs and reversibility while making practical decisions on whether to build internally or buy externally. Scale integration with application programming interfaces and internal services while ensuring data consistency, high data quality and support for both real time and batch oriented use cases. Mentor engineers, review code and raise the overall technical standard across teams. Promote data driven best practices throughout the organization. Qualifications Bachelors or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, or Mathematics. Excellent written and verbal communication; proactive and collaborative mindset. Comfortable in hybrid or distributed environments with strong ownership and accountability. A founder-level bias for actionable to identify bottlenecks, automate workflows, and iterate rapidly based on measurable outcomes. Demonstrated ability to teach, mentor, and document technical decisions and schemas clearly. Core Experience 6 to 12 years of experience building and scaling production-grade data systems, with deep expertise in data architecture, modeling, and pipeline design. Expert SQL (query optimization on large datasets) and Python skills. Hands-on experience with distributed data technologies (Spark, Flink, Kafka) and modern orchestration tools (Airflow, Dagster, Prefect). Familiarity with dbt, DuckDB, and the modern data stack; experience with IaC, CI/CD, and observability. Exposure to Kubernetes and cloud infrastructure (AWS, GCP, or Azure). Bonus: Strong Node.js skills for faster onboarding and system integration. Previous experience at a high-growth startup (10 to 200 people) or early-stage environment with a strong product mindset.

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:

The Energy Authority is a public power-owned, nonprofit corporation with offices in Jacksonville, Florida, and Bellevue (Seattle), Washington. TEA provides public power utilities with access to advanced resources and technology systems so they can respond competitively in the changing energy markets. Through partnership with TEA, utilities benefit from an experienced organization that is singularly focused on deriving the maximum value of their assets from the market. Join Our Team as a Data Engineering Manager Are you a strategic technical leader who thrives at the intersection of innovation, data, and collaboration? TEA is looking for a Data Engineering Manager to guide the development of our enterprise data ecosystem and drive cloud-first, data-centric solutions that support both internal teams and external clients. In this high-impact role, you'll partner directly with Managers and Directors across the organization, influencing data strategy while leading a team of talented engineers to build scalable, secure, and business-critical data products. If you love shaping strategy and rolling up your sleeves to solve complex problems-whether designing cloud architectures, reviewing critical implementations, or modeling best practices-this is an opportunity to make your mark. You'll play a pivotal role in TEA's cloud transformation and help define the future of data at TEA. What You'll Do Identify and articulate effective cloud-based strategies to meet TEA's evolving data engineering needs Lead the design and development of business-critical and client-supporting cloud data solutions Ensure the stability, integrity, security, and efficient operation of cloud data solutions supporting analytics and machine learning initiatives Lead the development of TEA's Data Lake architecture, including data modeling, ELT processes, and data pipeline standards Recruit, mentor, and develop engineers to build a high-performing and collaborative team Influence decision-making and champion best practices across engineering and business stakeholder groups Technical Skills We're Looking For Expertise in Microsoft Azure (Azure Data Lake, Azure Databricks, Fabric, Azure Data Factory) Deep expertise in Azure Databricks, including Notebook development, Workflows, and Asset Bundles Proven ability to design and implement modern data architectures (data lakes, warehouses, lakehouses, data mesh, streaming pipelines) Proficiency in Python, PySpark, SQL, and modern data engineering frameworks Strong understanding of APIs, data integration patterns, data governance frameworks, and security/compliance standards Experience optimizing pipelines, architectures, and queries for performance and cost Knowledge of data governance, metadata management, and data security principles Language Skills Ability to read, analyze, and interpret technical journals, financial reports, and legal documents Ability to respond to inquiries from customers, regulatory agencies, or business stakeholders Ability to write polished professional content such as presentations, speeches, and publications Ability to effectively present information to senior management, public groups, or boards of directors Management Responsibilities Direct supervision of Enterprise Data Team personnel responsible for Data Engineering functions Interviewing, hiring, training, and developing employees Planning, assigning, and directing daily work Conducting performance evaluations and providing ongoing feedback Rewarding excellence and addressing performance issues Ensuring compliance with organizational policies and applicable laws Promoting strong communication, teamwork, and a culture of accountability Education & Experience Master's degree (M.A.) or equivalent preferred 4-10 years of related experience and/or technical leadership Or an equivalent combination of education and experience If you're ready to lead transformative data initiatives and help shape the future of TEA's data strategy, we'd love to meet you. Apply today and bring your expertise to a team where innovation, collaboration, and impact come together. TEA Values TEA employees share a common sense of purpose. When TEA accomplishes its mission, the result is improved quality of life for the citizens and businesses of the communities our clients serve. TEA employees exceed the expectations of those they serve, deliver services with the highest standards of fair, honest, and ethical behavior, set the standard for service and expertise in our industry, embody a spirit of collaboration, and embrace TEA's founding entrepreneurial spirit by seizing opportunities to deliver value. If you are self-motivated, driven to deliver excellence, and passionate about your career, TEA is the perfect place for you. It's YOUR Future. It's OUR Future.