Data Engineer Jobs in Tallahassee, FL

THIS IS A PART-TIME 20 HOUR A WEEK JOB! Hybrid remote Primary Job Duties and Tasks • Designing and Implementing Data Architectures: Develop comprehensive data architectures that support the organization's business goals, using Azure Synapse Analytics, Azure SQL, and other Azure data services. • Managing Dedicated SQL Pools: Efficiently manage and optimize Dedicated SQL Pools in Synapse to handle large-scale data warehousing and analytics workloads. • Database Design and Management: Design, implement, and manage databases using Azure SQL and Azure Managed Instance, ensuring high performance, availability, and security. • Data Integration and ETL Processes: Develop and manage ETL (Extract, Transform, Load) processes using Synapse Pipelines, ensuring efficient data flow from various sources to the data warehouse. • Data Governance and Cataloging: Implement data governance practices and manage the data catalog to ensure data quality, consistency, and accessibility. • Building and Maintaining Data Models: Create and maintain data models that accurately represent the data landscape, ensuring they are scalable and optimized for performance. • Ensuring Data Security and Compliance: Implement and oversee data security measures, ensuring compliance with legal and regulatory standards. • Maintain procedures manuals and system documentation. • Research software solutions to support recommendations, analyzing current and future technology trends. These positions are to provide technical guidance and expertise in supporting the department in developing, architecting, and maintaining data, data mappings, and monitoring high-volume complex data transfer processes. Minimum Required KSAs: • 5+ years of experience in Synapse Analytics, Dedicated SQL Pools, Azure SQL Database, and Azure Managed Instance.. • 4+ years of experience in data architecture design principles, methodologies, and best practices. • 3+ years of experience in data governance principles and compliance requirements related to data security and privacy. • 3+ years of experience in integrating data from various sources and managing large data pipelines. • 2+ years of experience in cloud computing concepts, particularly in Microsoft Azure, including storage solutions and compute capabilities. • 1+ years of Experience with programming languages such as Python or Scala. • Strong analytical and problem-solving skills to address complex data challenges. • Ability to design and implement robust, scalable, and efficient data architectures. • Ability to provide excellent customer support; meticulous quality of work and work product. Education and Certifications Education: Bachelor's or Master's Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. (Required) Certifications: Microsoft Dynamics 365 Certification (Desired) and MS Dynamics Power Platform Certifications (Desired)

Job Description GeekSI is seeking candidates matching our corporate culture. A candidate must be passionate about their craft and think a little differently than the average employee. After joining the Geek Team, they will inherently contribute to GeekSI's reputation of providing the best, most innovative technical resources in the industry. GeekSI forges trust through integrity and hard work, delivering outstanding technology solutions that bring measurable value to our customers. Work hard, play hard! GeekSI now covers 100 percent employer contribution toward health insurance premiums for employees and 50 percent for dependents The responsibilities of the Cloud Engineer include: Working with our engineering team to identify and implement the most optimal cloud-based solutions for the customer. Planning, designing and developing cloud-based applications. Design architecture to include the software, hardware, and APIs to support the total requirements as well as provide for scalability, future requirements and interfaces. Managing cloud environments in accordance with customer security guidelines. Deploying and debugging cloud initiatives as needed in accordance with best practices throughout the development lifecycle. Training teams on the implementation of new cloud-based initiatives, providing associated training as required. Using your extensive knowledge of APIs to design RESTful services, and integrate them with existing data providers, using JSON or XML as needed. Lead and develop best practices for larger Cloud Engineer team. Building and designing web services in the cloud, along with implementing the set-up of geographically redundant services. Orchestrating and automating cloud-based platforms throughout the customer's environment. Evaluate analytically and systematically problems of workflows, organization, and planning and develop appropriate corrective action. Stay current with industry trends, making recommendations as needed to help the organization innovate and excel. The Must-Haves: To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below Must currently reside in the US Must have a bachelor's degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. 5-8+ years experience as a Cloud Engineer, or providing similar cloud engineering/architecture services Experience with AWS cloud services Extensive experience in the design and development of Client Server and Web Enabled Corporate applications including network topology. Experience developing Python scripts and applications Well versed in Object Oriented tools and techniques. Thorough knowledge of data modeling skills using automated tools.· Experience in creating and conveying to team members the architectural vision for a program or project. Experience in establishing and enforcing standards and practices. Experience overseeing the development team, he manages the full life cycle of the software development process. Extensive software development experience and thorough knowledge of a variety of programming languages and logic. Knowledge of software development and user interface web applications Familiarity with Agile frameworks and regression testing is a plus Familiarity with design/architectural patterns (e.g. Model-View-Controller (MVC)) Familiarity with architecture styles/APIs (REST, RPC) Excellent analytical and organization skills An ability to understand front-end users’ requirements and a problem-solving attitude Excellent verbal and written communication skills Preferred Skills/Experience: The experience listed below is preferred, but not required, for this job Experience with any of the following technologies: Salesforce, Kubernetes, Docker, Jenkins, Active Server Pages, HTML, and AWS native applications including WAF, CloudFront, DynamoDB, Transcribe, Athena, Simple Queue Service, QuikSight, CloudWatch, CloudTrail, KMS, Cognit Experience in web development leveraging XML and CSS Experience with JQuery (Javascript library) or other Javascript frameworks (such as AngularJS, NodeJS, and React) Experience using code repositories, preferably Git Experience using continuous integration tools, preferably Jenkins Experience with environmental regulatory business processes and practices Familiarity with Agile development, specifically Scrum, Extreme Programming (XP) and Kanban. WE ARE CURRENTLY NOT OFFERING SPONSORSHIP GeekSI provides equal employment opportunities to all qualified employees and applicants for employment without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, veteran or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other condition of employment or career development. Thank you for your interest in being part of the Geek Team. Job Type: Full-time Pay: $115,000.00 - $130,000.00 per year Benefits: 401(k) 401(k) matching Dental insurance Health insurance Life insurance Paid time off Vision insurance Schedule: 8 hour shift Application Question(s): Are you currently located within the United States? Education: Bachelor's (Required) Experience: Cloud architecture: 5 years (Required) SQL: 5 years (Preferred) Azure: 5 years (Preferred) AWS: 5 years (Preferred) REST: 5 years (Preferred) APIs: 5 years (Preferred) Cloud infrastructure: 5 years (Required) Work Location: Remote Company DescriptionGeeks develop software. GeekSI was founded in 1998, born out of a desire to deliver customer-first services with no compromise on quality, technical acumen, and integrity. GeekSI is a Women’s Business Enterprise National Council (WBENC) certified Women Owned Small Business (WOSB) and a Historically Underutilized Business Zone (HUBZone) certified business. We provide the highest quality IT and engineering services to state and federal governments, as well as the commercial industry. GeekSI’s technical expertise spans many business domains including Health IT and Benefits. GeekSI has a reputation for dedicating excellent technical and professional experts to our projects with retention rates as high as 95%. Our highest priority is doing business the right way: forging trust by delivering results. We have been providing analysis, Agile development, and testing services to federal organizations since our launch 25 years ago. GeekSI delivers Digital Transformation to our customers, leveraging six core competencies: Agile DevSecOps; Business Intelligence and Big Data; System Interoperability; Cloud Migration and Maintenance; AI, Business Rules, and Intelligent Systems; and Business Process Re-Engineering.Company DescriptionGeeks develop software.\r \r GeekSI was founded in 1998, born out of a desire to deliver customer-first services with no compromise on quality, technical acumen, and integrity. GeekSI is a Women’s Business Enterprise National Council (WBENC) certified Women Owned Small Business (WOSB) and a Historically Underutilized Business Zone (HUBZone) certified business. We provide the highest quality IT and engineering services to state and federal governments, as well as the commercial industry. GeekSI’s technical expertise spans many business domains including Health IT and Benefits. GeekSI has a reputation for dedicating excellent technical and professional experts to our projects with retention rates as high as 95%. Our highest priority is doing business the right way: forging trust by delivering results. We have been providing analysis, Agile development, and testing services to federal organizations since our launch 25 years ago.\r \r GeekSI delivers Digital Transformation to our customers, leveraging six core competencies: Agile DevSecOps; Business Intelligence and Big Data; System Interoperability; Cloud Migration and Maintenance; AI, Business Rules, and Intelligent Systems; and Business Process Re-Engineering.

Job Description SOFTWARE ENGINEER - TALLAHASSEE - MUST BE IN THE TALLAHASSEE AREA Our client, a leading provider of communication, data, and security solutions to government and public safety is seeking a talented, self-motivated Software Engineer to join their dynamic team in Tallahassee, FL. The ideal candidate will be responsible for developing high-quality software solutions and contributing to all phases of the development lifecycle. Responsibilities • Design, develop, and implement software solutions using various programming languages and tools such as ASP.NET, C#, JQuery, HTML, CSS, etc. • Collaborate with cross-functional teams to define, design, and ship new features. • Write clean, maintainable, efficient, and secure code. • Ensure the best possible performance, quality, and responsiveness of applications. • Identify bottlenecks and bugs and devise solutions to mitigate and address these issues. • Participate in code reviews and provide constructive feedback to peers. • Stay up to date with emerging technologies and trends in software development. Qualifications • Bachelor's degree in Computer Science or related field • Proven experience in software development (5+ years) • Strong .NET / C# experience / Web Development skills • Experience with front-end technologies and UI development • Experience with MS SQL Server • Knowledge of MVC / Entity Framework • Familiarity with multi-tenant / cloud platforms • Strong understanding of RESTful APIs • Knowledge of Agile development environment Nice-to-have Skills • Mobile development • AWS / Azure • API Integration experience If you are a passionate Software Engineer looking to work in a collaborative environment where your skills will be valued and developed, we encourage you to apply. Join us in creating innovative software solutions that make a difference. Company DescriptionPremier provider of talent to major organizations.Company DescriptionPremier provider of talent to major organizations.

Job Description Software Engineer / Sr. .NET Developer Remote but must reside in Florida & attend some meetings monthly in Tallahassee Unlock Your Potential: Join TEWS and Solve the Talent Equation TEWS is recruiting for several Software Engineering roles. The activities these candidates will be tasked with include, but are not limited to the following: Collaborate with business analysts, project managers, and stakeholders to understand the functional and non-functional requirements of the application. Translate business requirements into architectural designs that align with business goals. Design the overall system architecture, and define how different components of the interact. Design, develop, and implement software applications using the .NET framework and C#. Utilize ASP.NET (or ASP.NET Core) for web application development, including MVC, Web API, and Blazor for client-side and server-side programming. Develop and optimize SQL queries, stored procedures, and functions. Develop user interfaces and ensure the front end is responsive, accessible, and user[1]friendly. Review code, architecture, and design to ensure they meet the standards. Analyze and optimize the performance of the application. Design strategies for scaling the application efficiently as user demand grows. Ensure the application adheres to security best practices and compliance requirements. Implement DevOps practices such as continuous integration and continuous delivery (CI/CD) via Azure DevOps and GitHub repositories. These positions are to provide technical guidance and expertise in supporting the department in developing, architecting, and maintaining systems, api's, data mappings, and monitoring high volume complex data integration processes. Minimum Requirements: 5+ years of experience in .NET/.NET core application development (recent experience preferred), 5+ years of experience in DDL, DML T-SQL skills, advanced stored procedure writing skills, tables, primary keys, foreign keys, constraints, indexes, transactions, process logging, and error handling. 3+ years of experience with application design, including Data mapping. 3+ years of experience in application architecture and data integration. 3+ years of analyzing and interpreting large datasets, including cleaning, transforming, and visualizing data. 3+ years of Experience in testing high-volume of complex data integration processes. 1+ years of Experience using Blazor Familiarity with system catalog views, and Azure Cloud Ability to provide excellent customer support; meticulous quality of work and work product. Education: Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field. Or equivalent work experience. (Required) Certifications: Microsoft or Other Related Certification (Desired) Tews is an equal opportunity employer and will consider all applications for employment without regards to age, color, sex, disability, national origin, race, religion, or veteran status. #zip Company DescriptionTews takes the best aspects of larger, national recruiting firms and combines it with a partner-first mentality that always keeps our focus on the businesses and professionals we serve in Central Florida and surrounding regions. Solving the talent equation for our clients is our passion, and we do so every day by filling quality job opportunities in the administrative, finance and accounting, and information technology sectors with the professionals best suited for the job and for the company culture that surrounds it. Proud to partner with some of the most respected businesses and professionals in our region, it is our personal attention to detail and care for our clients that has yielded big-firm results for the people and companies we serve. Tews is known as Central Florida’s premier recruiting firm and was named “Best Placement Service” by the Orlando Business Journal. Though the praise is flattering, it is our long-standing relationships and excellent reputation with our clients that keep executives and professionals coming back to Tews for their staffing and placement needs.Company DescriptionTews takes the best aspects of larger, national recruiting firms and combines it with a partner-first mentality that always keeps our focus on the businesses and professionals we serve in Central Florida and surrounding regions.\r \r Solving the talent equation for our clients is our passion, and we do so every day by filling quality job opportunities in the administrative, finance and accounting, and information technology sectors with the professionals best suited for the job and for the company culture that surrounds it. Proud to partner with some of the most respected businesses and professionals in our region, it is our personal attention to detail and care for our clients that has yielded big-firm results for the people and companies we serve.\r \r Tews is known as Central Florida’s premier recruiting firm and was named “Best Placement Service” by the Orlando Business Journal. Though the praise is flattering, it is our long-standing relationships and excellent reputation with our clients that keep executives and professionals coming back to Tews for their staffing and placement needs.

ADVANCING OUR OPERATIONS In order for us to complete our missions, our technology simply cannot fail. Covering a wide range of specialties ranging from aeronautical and computer systems to flight test and mechanical, Developmental Engineers provide advanced skill and knowledge of their particular specialties. Responsible for everything from the planning to implementation of their projects, these experts are essential to the success of operations all over the world. REQUIREMENTS You must meet several requirements before joining the Air Force. These concern your background, overall health and other standards set by the Air Force, Department of Defense and federal law.Minimum Education Bachelor's degree in engineering related to one of the following specialties: aerospace, aeronautical, astronautical, computer, electrical, electronics, communication or mechanical Qualifications Completion of the Defence Acquisition University Fundamentals of Systems Acquisition Management course or Acquisition Fundamentals course Completion of the Air Force Flight Test Engineer course or comparable Minimum of 24 months of experience in qualified position or a master's degree in a specified discipline and 12 months' experience or a Doctor of Philosophy degree in a specified discipline Completion of Officer Training School (OTS), Air Force Academy (AFA) or Air Force Reserve Officer Training Corps (AFROTC) Must be between the ages of 18 and have not reached your 42 nd birthday

Job DescriptionOur Mission iSeatz provides digital commerce and loyalty tech solutions that enable travel and lifestyle bookings to global customers including American Express, Expedia, and IHG Hotels. Our proprietary platform processes over $9B per year in transactions. We have a history of long-term trusted relationships and innovation that drives tangible value to our customers through a customizable, scalable, and secure platform, a global third-party marketplace, and loyalty integration. We aspire to put our customers at the heart of every decision and exceed their expectations with best-in-class solutions and business-value innovations. What you’ll do The Senior Software Engineer (Rust) reports to the Engineering Manager and works closely with cross-functional teams including other software engineers, architects, quality assurance, and product managers to ensure seamless, high-quality product and platform delivery. In this role, you will design, develop, test, deploy, and maintain world-class applications written in Rust. You will also optimize these applications for speed, reliability, and scalability. Your Impact Design, develop, deploy, and maintain high-performance, robust, and scalable APIs using Rust Conduct performance optimization to improve system responsiveness and throughput Ensure API security protocols are in place to protect data and systems Collaborate with cross-functional teams, both internal and external, to define, design, and bring innovative features to life Identify and resolve issues and performance bottlenecks with existing API and integration architectures Create and maintain technical documentation for API usage and system integrations Uphold and propagate best practices in server-side Rust-based application design, and collaborate with architects and engineers to continuously improve upon these best practices Engage in architectural discussions and actively contribute to the technical decision-making process Mentor other developers to foster a culture of innovation, quality, and growth Continuously research, evaluate, test, and implement new technologies to optimize application performance and development efficiency Collaborate with external stakeholders to design efficient integrations Maintain up-to-date knowledge of Rust trends, technologies, and best practices What you bring to the table 7+ years of software development experience with substantial professional Rust development experience; proficient in Axum and SQLx, as currently utilized by iSeatz Proven track record of delivering high-quality, secure, and performant Rust-based applications to production environments Expertise in working with and designing RESTful APIs; proficient with OpenAPI specs, as currently utilized by iSeatz Proficiency in working with and designing solutions using multiple database systems, particularly PostgreSQL and SQLite, as primarily currently utilized by iSeatz Proficiency in working with various version control systems, particularly Git, as currently utilized by iSeatz Experience working in Agile and Kanban environments Familiarity with cloud platforms and various architecture types; proficient with AWS, as currently utilized by iSeatz Familiarity with containerization and container orchestration Experience working with external clients, partners, and vendors Disciplined ability to consider multiple options when designing a solution Collaborative spirit and a positive demeanor that enhance team dynamics Bonus points Experience in travel and/or loyalty-as-a-service industries Experience working with asynchronous event-driven architecture Experience leading teams and/or projects, either in an official or unofficial capacity Previous role as a full-stack developer and ability to assist in front-end development efforts; proficient in React, as currently utilized by iSeatz Experience designing and architecting comprehensive applications, from inception through deployment to production, ensuring seamless usability for end-users Location This role is remote and can be located anywhere inside the continental United States. iSeatz is a New Orleans-based company with Central Time Zone business hours, but feel free to work from your home office, from the beach, or from the cottage you rented for the summer! What we bring to the table iSeatz is among the most prominent tech employers in New Orleans. With employee engagement and community impact at the forefront of our culture, we have been named a 2020 Top Workplace by nola.com and honored as one of the CityBusinesses’ Best Places to Work since 2008, including a 1st place award in 2020, at the height of a global pandemic. iSeatz is committed to ensuring all employees are given every opportunity to succeed and grow within and beyond their current roles and responsibilities. We work diligently to build and maintain trust among our workforce in everything we do, beginning with fostering an autonomous and thought-provoking work environment. Micromanagement does not have a place at iSeatz. You will be trusted to use the knowledge and experience that brought you to iSeatz in tandem with the support of your manager and those around you, as needed, to deliver a high-quality end product. We value a diverse workplace We are committed to building and maintaining a culture of support, awareness, and sensitivity about the importance and impact of our differences and leverage these differences to build a stronger iSeatz. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact the People Operations Team at *************************. A note about joining our workforce At iSeatz, we’re looking for candidates who are genuinely excited about joining our fast-paced and motivated team. If you’re not enthusiastic about the opportunity to be a significant contributor; to lead with confidence, discipline, impact, thoughtfulness, innovation, and accountability; and to bring your passion and drive for this specific role to the table, we ask that you kindly refrain from applying. On the other hand, if this all sounds like you, we can’t wait to hear from you! Come help us shape the future of the travel and loyalty tech industry.

At Oracle Health Data Intelligence (HDI), we combine the strengths of the OCI, the leading healthcare technology platforms from Oracle Cerner, Oracle Healthcare's Product & Technology, Oracle Health Applications & Infrastructure and the mission of the Oracle Healthcare Global Business Unit. Oracle HDI organization has a rare opportunity to play a critical part in how Oracle Health impacts and disrupts the healthcare industry by transforming how healthcare and technology intersect. We are investing heavily in the healthcare industry by demonstrating our deep technical expertise to focus on making a global impact and filling a societal need which will improve the health experience for all. You will be part of Oracle Healthcare's Analytics Content Team. You will be working with a team of engineers in defining, designing, and delivering essential business intelligence interfaces to our customers in the health industry using the latest technologies on OCI. You should be able to understand broad systems interactions, be hands-on, be able to dive deep into any part of the Health Data Intelligence platform and have a good sense of cloud infrastructure. You should value simplicity and impact, work comfortably in a collaborative agile environment, and be excited to learn. Our senior engineers are also the people who can work independently and provide technical guidance to junior engineers. You should have experience developing and operating high-scale services that work against big data (billions of records) and an understanding of how to make these cloud-scale services resilient. You understand operational excellence and know-how to infuse a culture of being proactive within your team. You recommend and justify major changes to new and existing products and establish consensus with data-driven approaches. You take ownership of what you create from concept to ongoing customer satisfaction. Career Level - IC4 **Responsibilities** We are looking for Data Engineers to join our team of healthcare analytics experts. The Data Engineer will work to create data products to meet diverse customer needs. The ideal candidate understands the appropriate structures and data modeling techniques to ensure reporting performance objectives are met. The Data Engineer will support the broader team and produce data content that address various needs with minimal duplication. The successful candidate will be excited to provide insights that help support the Health Data Intelligence mission of improving care delivery and health outcomes. **Responsibilities for Data Engineer:** + Satisfy requirements to facilitate reusable data analytics products. + Create informative and actionable visualizations that facilitate end user self-service analytics. + Incorporate data from multiple healthcare domains (encounters, conditions, orders, payments) to create outcomes research and analysis. + Support stakeholders to deliver a consistent experience and predictable delivery. + Automate solutions to scale for very large data sets and thousands of customers. + Work with product management and analysts to address performance needs. + Ensure that data privacy is maintained and all security requirements are addressed. + Continually strive to improve functionality and look for optimizations. + Highly driven and motivated to ensure customer success. **Qualifications:** + BS in Computer Science, Statistics, Informatics, Information Systems or another quantitative field (or equivalent experience) + 5+ years of experience in data engineering roles + Advanced SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity Oracle database + Experience with data-oriented scripting languages: Python, R, Java, Scala, etc. + Experience with data visualization software - OAC, Tableau, BO, PowerBI, Qlik, Looker, Crystal + Comfortable working in an Agile SDLC environment + Source control & deployment systems, issue tracking, development KPIs + Experience building and optimizing data architectures and data sets + Experience with build processes supporting data transformation, data structures, metadata, dependency and workload management. + Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. + Experience supporting and working with cross-functional teams in a dynamic environment. **Helpful Skills** + Understanding of Healthcare data domains - Claims, EHR, PBM Career Level - IC4 Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range: from $94,200 to $223,500 per annum. May be eligible for bonus and equity. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling ***************, option one. **Disclaimer:** Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. *** Which includes being a United States Affirmative Action Employer**

We are on a mission to deliver remarkable health experiences, freeing people to be their best. This requires an advanced 360 person-centered approach to deliver the right message, guidance, care, outcome, and experiences, all at the right time. This Sr Engineering role on the team will help lead us towards the combined digital and data transformation, modernizing from core Master Data Management (MDM) platforms and processes towards more open and forward oriented platforms, patterns, and architectures. On an ongoing basis, you will collaborate and/or lead various technical engagements to scope, deliver, and support core operational systems focusing on delivering a Person-360 ecosystem. These patterns and platforms will serve as foundational to an enterprise 360 approach, improving individuals' experiences and business outcomes. Working in a distributed team, you can influence and lead both technical and non-technical cross-functional team members, building trust and momentum with stakeholders, prioritizing outcomes over activity. You will be pragmatic in modernizing technology by pairing innovation and transformation with business requests and customer experiences. **ESSENTIAL RESPONSIBILITIES** + In partnership with other business, platform, technology, and analytic teams across the enterprise, design, build and maintain well-engineered data solutions in a variety of environments, including traditional data warehouses, Big Data solutions, and cloud-oriented platforms. Create high performance cloud and big data systems to be used with operational and analytic applications. + Work with internal and external platforms and systems to connect and align on data sourcing, flow, structure, and subject matter expertise. Work with business stakeholders and strategic partners to implement and support operational and analytic platforms. This may include products purchased by the organization that must be ingested or modeled/derived data maintained by enterprise platforms and data consumers. + Working across multiple, disparate systems and platforms, design, code, test, implement, and maintain scalable and extensible frameworks that support data engineering services. + Align with security, data governance and data quality programs by driving assigned components of metadata management, data quality management, and the application of business rules.Develop and maintain associated data engineering processes and participate in required operating procedures as part of the enterprise's overall information management activities.Includes data cleansing, standardization, technical metadata documentation, and the de-identification and/or tokenization of data. + Develop, optimize and/or maintain machine learning and AI engineering processes (MLOps) that are deployed to cloud or big data environments.These may be based on prototypes built by data scientists or capability frameworks implemented to allow data scientists to build efficiently in production environments. + Develop tasks across multiple projects with limited need for guidance. This includes providing guidance and education to Intermediate and Junior contributors within team. Manage relationships with customers of the function. Attend meetings with customers on a stand-alone basis or with team as needed. + Establish standards and patters for high performance data ingestion, transformation, and delivery of data analytic needs. Keep current with Big Data technologies in order to recommend best tools in order to perform current and future work + Other duties as assigned or requested. **EDUCATION** **Required** + Bachelor's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field **Substitutions** + None **Preferred** + Master's Degree in Software Engineering, Information Systems, Computer Science, Data Science or related field **EXPERIENCE** **Required** + 5 years in Data platform development, data engineering, software development, or data science + 3 years in Big data or cloud data platform **Preferred** + 5+ years in Healthcare Industry or Financial services/Banking or similar highly regulated industry + 5+ years of Data Warehousing experience + 3+ years of cloud data warehousing experiences with preference for GCP + 3+ years of experience with Databricks + 3+ years of experience with MDM systems with preference for Informatica + Advanced knowledge of data movement and integration platforms with preference for Pub/Sub and Kafka + Advanced knowledge of governance platforms and practices to include metadata catalog integration, AuthN/AuthZ Entitlements platforms and workflows, etc. **LICENSES AND CERTIFICATIONS** **Required** + None **Preferred** + Cloud certification (GCP, Azure, AWS) **SKILLS** + SQL + Data Warehousing + Problem-Solving + Communication Skills + Analytical Skills + Spark or Python or related tool + Cloud Technologies **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office-based Teaches / trains others regularly Rarely Travel regularly from the office to various work sites or from site-to-site Does Not Apply Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $146,000.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation/gender identity or any other category protected by applicable federal, state or local law. Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation/gender identity, protected veteran status or disability. EEO is The Law Equal Opportunity Employer Minorities/Women/Protected Veterans/Disabled/Sexual Orientation/Gender Identity ( _********************************************************************************************************* ) We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact number below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J252318

At Norstella, our mission is simple: to help our clients bring life-saving therapies to market quicker-and help patients in need. Founded in 2022, but with history going back to 1939, Norstella unites best-in-class brands to help clients navigate the complexities at each step of the drug development life cycle -and get the right treatments to the right patients at the right time. Each organization (Citeline, Evaluate, MMIT, Panalgo, The Dedham Group) delivers must-have answers for critical strategic and commercial decision-making. Together, via our market-leading brands, we help our clients: + Citeline - accelerate the drug development cycle + Evaluate - bring the right drugs to market + MMIT - identify barrier to patient access + Panalgo - turn data into insight faster + The Dedham Group - think strategically for specialty therapeutics By combining the efforts of each organization under Norstella, we can offer an even wider breadth of expertise, cutting-edge data solutions and expert advisory services alongside advanced technologies such as real-world data, machine learning and predictive analytics. As one of the largest global pharma intelligence solution providers, Norstella has a footprint across the globe with teams of experts delivering world class solutions in the USA, UK, The Netherlands, Japan, China and India. **Job description** Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making. Our unique collaborative approach fosters a dynamic synergy between data science and product development. Our deep expertise in machine learning, artificial intelligence, advanced statistical modelling, and big data, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. **Key duties and responsibilities** In this role as a Data Scientist, you will: + Collaborate with product partners and other scientists to identity new opportunities to apply AI / ML to our content and products + Conduct research and identify AI / ML algorithms and methods to solve specific business problems, and deliver these algorithms as microservices in collaboration with content and product engineering teams + Contributes towards the common data science platform + Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams on these developments **Key requirements** + 3+ years of experience developing AI / ML applications and data driven solutions + Graduate degree in Computer Science, Engineering, Statistics or a related quantitative discipline, or equivalent work experience + Substantial depth and breadth in NLP, Deep Learning, Generative AI and other state of the art AI / ML techniques + Deep understanding of CS fundamentals, computational complexity and algorithm design + Experience with building large-scale distributed systems in an agile environment and the ability to build quick prototypes + Excellent knowledge of high-level programming languages (Python, Java, or C++) and core data science libraries including Pandas, NumPy and other similar libraries + Ability to independently conduct research and independently develop appropriate algorithmic solutions to complex business problems + Experience mentoring junior team members + Excellent problem solving and communication skills + Nice to have + M.S. in Computer Science with an AI / ML research focus and publications in top-tier journals and conferences. + Knowledge of the healthcare domain and experience with applying AI to healthcare data + Experience with AWS especially in relation to ML workflows with SageMaker, serverless compute and storage such as S3 and Snowflake + Experience with LLMs, prompt engineering, retrieval augmented generation, model fine tuning and knowledge graphs **Our Guiding Principles at Norstella** 01: Bold, Passionate, Mission-First We have a lofty mission to Smooth Access to Life Saving Therapies and we will get there by being bold and passionate about the mission and our clients. Our clients and the mission in what we are trying to accomplish must be in the forefront of our minds in everything we do. 02: Integrity, Truth, Reality We make promises that we can keep, and goals that push us to new heights. Our integrity offers us the opportunity to learn and improve by being honest about what works and what doesn't. By being true to the data and producing realistic metrics, we are able to create plans and resources to achieve our goals. 03: Kindness, Empathy, Grace We will empathize with everyone's situation, provide positive and constructive feedback with kindness, and accept opportunities for improvement with grace and gratitude. We use this principle across the organization to collaborate and build lines of open communication. 04: Resilience, Mettle, Perseverance We will persevere - even in difficult and challenging situations. Our ability to recover from missteps and failures in a positive way will help us to be successful in our mission. 05: Humility, Gratitude, Learning We will be true learners by showing humility and gratitude in our work. We recognize that the smartest person in the room is the one who is always listening, learning, and willing to shift their thinking. **Benefits:** Medical and prescription drug benefits Health savings accounts or flexible spending accounts Dental plans and vision benefits Basic life and AD&D Benefits 401k retirement plan Short- and Long-Term Disability Education benefits Paid parental leave Paid time off **_*Please Note - All candidates must be authorized to work in the United States. We do not provide visa sponsorship or transfers. We are not currently accepting candidates who are on an OPT visa.*_** The expected base salary for this position ranges from $100,000 to $130,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus. Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law. All legitimate roles with Norstella will be posted on Norstella's job board which is located at norstella.com/careers. If a role is not posted on this job board, a candidate should assume the role is not a legitimate role with Norstella. Norstella is not responsible for an application that may be submitted by or through a third-party and candidates should proceed with extreme caution if a third-party approaches them about an open role with Norstella. Norstella will never ask for anything of value or any type of payment during or as part of any recruitment, interview, or pre-hire onboarding process. If you are aware of or have reason to believe a job posting purportedly for a role with Norstella is fraudulent or otherwise not authorized by Norstella, please contact the Company using the following email address: [email protected] . Norstella is an equal opportunity employer. All job applicants will receive equal treatment regardless of race, creed, color, religion, alienage or national origin, ancestry, citizenship status, age, physical or mental disability or handicap, medical condition, sex (including pregnancy and pregnancy-related conditions), marital or domestic partner status, military or veteran status, gender, gender identity or expression, sexual orientation, genetic information, reproductive health decision making, or any other protected characteristic as established by federal, state, or local law.

Remote - US Cleo is a cloud integration technology company focused on business outcomes. Every day, we ensure that each one of our 4,000+ customers' potential is realized by delivering solutions that make it easy to discover and create value through the connections and integration of enterprise applications supporting critical workflows. By providing the industry's most complete and flexible integration offerings, we are helping our clients build trusted relationships across their partner ecosystems today, while providing all the control and visibility they need to advance their business tomorrow. In a nutshell, Cleo is a rapidly growing category leader in ecosystem integration software and we have experienced tremendous growth over recent years. The **Senior Data Engineer** is a hands-on leader responsible for designing, developing, and maintaining data pipelines and infrastructure at Cleo. This role involves setting the strategy for data systems, collaborating closely with cross-functional teams, and ensuring the scalability, reliability, and efficiency of data solutions. The Senior Data Engineer will focus on data infrastructure needs for **AI/ML models** , overseeing the creation of a **data warehouse** and associated systems from scratch, and ensuring data is properly transformed and optimized for machine learning and artificial intelligence applications. This role is integral to building the processes that support **data transformation** , **data structures** , **metadata management** , **data quality controls** , and **workload management** . **What You Will Be Doing** + **Lead the Design and Build of Data Pipelines** : Develop and maintain scalable, reliable, and efficient data pipelines that collect, process, and store large datasets. Ensure these systems are optimized for **AI/ML** model training and inference. + **Set Data Infrastructure Strategy** : Define and execute the strategy for building and maintaining **data warehouses** , **data lakes** , and other data storage systems that support both operational and analytical needs. Ensure systems are optimized for AI/ML model workflows. + **Hands-On Data Transformation for AI/ML Models** : Design and implement data transformation processes, including **feature engineering** , **data preprocessing** , and **data augmentation** , to ensure data is in the right format for machine learning models. + **Build Data Structures and Metadata Management** : Build and manage the data structures, metadata repositories, and related systems that support data transformation, ensuring the organization has well-documented, accurate, and accessible data for AI/ML workflows. + **Data Quality Controls and Risk Management** : Establish and implement data quality controls to ensure that data used in machine learning models is clean, consistent, and accurate. Identify and raise risks at all stages of the data engineering process, including data ingestion, transformation, and storage. + **Collaborate with Cross-Functional Teams** : Work closely with **data scientists** , **ML engineers** , **product managers** , and business leaders to understand data requirements and ensure data systems meet the needs of AI/ML initiatives. Provide hands-on leadership to guide teams in transforming data for model training. + **ETL Development and Optimization for AI/ML** : Lead the development and optimization of ETL (Extract, Transform, Load) processes for ML/AI data. Focus on efficiently moving and transforming large datasets, ensuring data quality and readiness for model training and deployment. + **Optimize Data for Model Training and Inference** : Ensure data pipelines are designed to support the needs of AI/ML model training, such as handling large volumes of data, managing data quality, and enabling fast model iteration. + **Data Governance for AI/ML** : Define and implement data governance practices to ensure the secure, compliant, and ethical use of data in AI/ML workflows. + **Stay Current** : Keep up with emerging trends in data engineering, particularly those related to **AI/ML** model development, and implement best practices to optimize data systems for machine learning. **Your Qualifications** + **Experience** : 5-7+ years of experience in data engineering, with a focus on **transforming data for AI/ML models** and optimizing data systems to support machine learning and artificial intelligence workflows. + **Hands-On Expertise** : Proven experience in hands-on **data transformation** and building **data pipelines** for AI/ML, including data preprocessing, feature engineering, and model-specific data handling. + **Leadership** : Experience leading or mentoring data engineering teams, providing hands-on guidance for AI/ML-related projects and collaborating with cross-functional teams. + **Cloud and Big Data** : Strong experience with **cloud platforms** and **big data technologies** , particularly in the context of **AI/ML model development** . **A few things we have to offer:** + Competitive compensation + Great Healthcare + Dental + Vision + Flexible PTO + Culture of support, encouraging Life-Work balance + 401k match + FSA and HSA options + Employee Assistance Program + Paid Parental Leave + Representing a company with 4,000+ clients and a 99% retention rate + Accelerated title and salary growth potential + A fun and energetic work environment that makes you excited to go to work every day _Cleo Communications, LLC is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, protected veteran status or any other characteristic protected by law._

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Engineer, Product Analytics Responsibilities: 1. Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems 2. Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve 3. Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way 4. Define and manage Service Level Agreements for all data sets in allocated areas of ownership 5. Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership 6. Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains 7. Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources 8. Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts 9. Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts 10. Influence product and cross-functional teams to identify data opportunities to drive impact 11. Mentor team members by giving/receiving actionable feedback **Minimum Qualifications:** Minimum Qualifications: 12. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent 13. 4+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions 14. 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.) **Preferred Qualifications:** Preferred Qualifications: 15. Master's or Ph.D degree in a STEM field **Public Compensation:** $145,000/year to $204,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**The Role** The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Organizations achieve their business goals. The individual will work as a member of a multi-disciplinary team of various experience levels that will be driving solution design, development, and deployment of analytic models in support of business facing analytic groups. The team is responsible for both advanced analytics strategy and applied, project-based solutions, focusing on the company's most critical business areas. As a Data Engineer, you will build analytical data sets in support of Advanced Analytics projects. You will work closely with our forward-thinking Researchers and Data Scientists to deliver value to our vision for the future. Are you ready to join a future facing team? **What You'll Will Do** + Collaborate with the MAS team functions to develop data products for analytics solutions. + Design and develop data products that are compliant with data privacy and security policy to protect and manage sensitive data including customer data. + Drive the adoption of cloud-first technologies and industry-standard Data Engineering practices to accelerate and scale engineering capabilities. Collaborate with cross-functional teams including data governance, data architecture, release management, Data Ops & ML Ops, and infrastructure as required. + Automate new and existing data processes including non-structured sources, eliminating all manual effort to gather and ingest data. + Stay up to date with emerging trends and technologies in the field of Data Engineering and proactively find opportunities for improvement and innovation within our organization. + Foster a culture of continuous learning, knowledge sharing, and development within the team and the broader data engineering community. **Additional Job Description** **Your Skills & Abilities (Required Qualifications)** + 5+ years of hands-on experience delivering enterprise-scale data and analytics solutions using modern hybrid cloud technologies with a focus on data curation for Customer Experience data science modeling and reporting. + Strong problem-solving and analytical skills with practical experience analyzing and curating large scale customer event data products from disparate data sources including 1st party and 3rd party data and map type data with variable structure. + In-depth knowledge of industry-standard Data Engineering practices including data privacy & security, ETL/ELT, data architecture, data quality assurance, performance optimization, source code management, release management, and operations. + Expert programming skills in data and analytics platforms, big data processing frameworks and languages, and development tools including Azure (or similar), Databricks, Spark, Python, SQL, and GitHub. + Effective communication and people skills, with the ability to collaborate effectively with cross-functional technical teams and non-technical stakeholders. + Naturally curious with the ability to work independently and proactively. + Experience working in an Agile development environment. **Education** + Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, or a related field. Master's degree is a plus This role is based remotely but if you live within a 50-mile radius of Austin, TX, Roswell, GA, Mountain View, CA or Warren, MI you are expected to report to that location three times a week, at minimum. This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance. Benefits **:** GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves? Imagine the possibilities at Ford! Great ideas evolve into extraordinary products and customer experiences. When you bring passion and dedication to your job, there's no telling what you can accomplish. The Digital Manufacturing Systems team is seeking a Staff Data Scientist to help imagine, invent, and implement the technology used to manufacture the next generation of Ford vehicles. Our environment fosters product innovation, rapid iteration, and a significant amount of autonomy. Our development stack is diverse and includes a wide range of technologies, including low-level and server-side programming. Our team values fun, camaraderie, learning, and collaboration, and we are looking for someone who shares these values. We hold ourselves and our solutions to the highest standards, which we maintain through constructive code reviews, brainstorming sessions, and pair programming when appropriate. Additionally, we prioritize personal relationships and take the time to get to know each other and our partners. Sound good? We would love to hear from you. **In this position...** The Digital Manufacturing Systems team is seeking a highly skilled and experienced Staff Data Scientist to join our growing data science team. The ideal candidate will have a proven track record of successfully designing, developing, and deploying data-driven solutions to complex business problems. This role requires strong technical skills, excellent communication abilities, and the ability to work independently and collaboratively within a team. **What you'll do...** + **Lead and execute data science projects:** Independently manage the entire lifecycle of data science projects, from problem definition and data acquisition to model development, deployment, and monitoring. This includes defining project scope, setting timelines, and managing resources effectively. + **Develop and implement advanced analytical models:** Build and deploy machine learning models, statistical models, and other analytical techniques to solve business problems across various domains. This may involve a variety of techniques, including regression, classification, clustering, time series analysis, and deep learning. + **Data mining and analysis:** Extract, clean, transform, and analyze large datasets from various sources. This involves working with SQL, NoSQL databases, and potentially cloud-based data warehouses. + **Develop and maintain data pipelines:** Design and implement robust and scalable data pipelines to ensure efficient data flow and accessibility for analysis and model training. + **Collaborate with cross-functional teams:** Work closely with engineers, product managers, and other stakeholders to understand business needs, define project scope, and communicate findings effectively. Strong communication and presentation skills are crucial. + **Mentor junior data scientists:** Provide guidance and support to less experienced team members, fostering a collaborative and learning-oriented environment. + **Stay current with the latest advancements in data science:** Continuously learn and explore new techniques and technologies to enhance the team's capabilities. + **Contribute to the improvement of data infrastructure and processes:** Identify areas for improvement in data quality, data governance, and data infrastructure and propose solutions. **You'll have...** + PhD degree in Computer Science, Statistics, Data Science or a related field or a combination of education and equivalent work experience + 10 + years of experience as a Data Scientist. + 5 + years of programming experience in Python or R, including experience with relevant libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). + 5 + years of experience in statistical modeling, machine learning, and data mining techniques. + 3 + years of experience with SQL and NoSQL databases. **Even better, you may have...** + PhD degree in Computer Science, Statistics, Data Science, or a related field + Experience with cloud computing platforms (Azure, GCP) + Excellent communication, presentation, and collaboration skills. + Ability to work independently and manage multiple projects simultaneously. + Demonstrated ability to translate business problems into analytical solutions. + Experience with specific industry domains (e.g., manufacturing) + Experience with A/B testing and experimentation + Experience with model deployment and monitoring + Publication record in relevant conferences or journals + Experience with data visualization tools (e.g., Steamlit) You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all the above? No matter what you choose, we offer a work life that works for you, including: + Immediate medical, dental, and prescription drug coverage + Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more + Vehicle discount program for employees and family members, and management leases + Tuition assistance + Established and active employee resource groups + Paid time off for individual and team community service + A generous schedule of paid holidays, including the week between Christmas and New Year's Day + Paid time off and the option to purchase additional vacation time. For a detailed look at our benefits, click here: ********************************************************************************************************************* This position is a leadership level 6 Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer committed to a culturally diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call **************. \#LI-remote \#LI-LA1 **Requisition ID** : 38278

**Responsibilities** Professionals in data science are responsible for extracting insights and value from large and complex datasets to inform decision-making and drive innovation within organizations. They utilize their expertise in statistics, machine learning, and data analysis techniques to identify trends, patterns, and relationships in data and develop predictive models and actionable insights. Typical responsibilities include collecting and cleaning data from various sources, performing exploratory data analysis to understand data characteristics and relationships, and applying statistical and machine learning algorithms to analyze data and extract insights. Data science roles also involve developing and deploying data-driven solutions and models to solve business problems and optimize processes, and communicating findings and recommendations to stakeholders in a clear and understandable manner. Additionally, professionals may be involved in designing and implementing data pipelines and infrastructure to support data processing and analysis, and collaborating with cross-functional teams, such as software engineers, business analysts, and domain experts, to integrate data science solutions into applications and workflows. Their expertise in areas such as programming languages (e.g., Python, R), data visualization tools, and domain-specific knowledge enables organizations to harness the power of data to drive strategic decision-making, improve efficiency, and gain competitive advantage. This position sits at the forefront of artificial intelligence and data analytics. You will be responsible for designing and developing AI and machine learning capabilities for our growing client base. You should have strong programming skills and must have professional experience in one or more of the following areas: + Natural Language Processing + Deep Learning + Neural Networks You will join a team of experienced engineers, scientists and entrepreneurs bringing practical AI solutions to support innovation with our federal customers. As part of the team, you will work closely with government clients to understand current issues and challenges, conduct rigorous data analysis, design and build solutions, and foster the clear understanding of the results. Your responsibilities will include: + Designing and developing machine learning models + Running AI and machine learning tests and experiments + Evaluating new techniques and making technical recommendations + Running numerous experiments in a fast-paced and fun environment + Mentoring junior data analytics and machine learning engineers to improve their technical skills **Required Qualifications** + Bachelors in Computer Science, Engineering, or related and 0 years of experience. + Programming experience with TensorFlow, C++, PyTorch, Python and R. + Ability to help visualize the data for analysis and to display results. + Experience with Large Language Models, Vector and Graph databases. + Excellent interpersonal skills and ability to get along with data scientists, engineers, and customers at all levels. + Ability to work in a dynamic team-oriented environment, demonstrate teamwork and initiative, and function productively in a dynamic work environment. **Desired Qualifications** + Experience performing analysis of data through use of mathematical equations, sortation, tools, and optimization techniques. + Experience in quantitative research. **Overview** Noblis (*********************** and our wholly owned subsidiaries, Noblis ESI , and Noblis MSD tackle the nation's toughest problems and apply advanced solutions to our clients' most critical missions. We bring the best of scientific thought, management, and engineering expertise together in an environment of independence and objectivity to deliver enduring impact on federal missions. Noblis works with a wide range of government clients in the defense, intelligence and federal civil sectors. Noblis -About Us (***************************************** **Why work at a Noblis company?** Our employees find greater meaning in their work and balance the other things in life that matter to them. Our people are our greatest asset. They are exceptionally skilled, knowledgeable, team-oriented, and mission-driven individuals who want to do work that matters and benefits the public. Noblis has won numerous workplace awards (************************************ . Noblis maintains a drug-free workplace. **Total Rewards** At Noblis we recognize and reward your contributions, provide you with growth opportunities, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, and work-life programs. Our award programs acknowledge employees for exceptional performance and superior demonstration of our service standards. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in our benefit programs. Other offerings may be provided for employees not within this category. We encourage you to learn more about our total benefits by visiting the Benefits (************************************* page on our Careers (**************************** site. Compensation at Noblis is determined by various factors, including but not limited to, the combination of education, certifications, knowledge, skills, competencies, and experience, internal and external equity, location, clearance level, as well as contract-specific affordability, organizational requirements and applicable employment laws. The projected compensation range for this position is based on full time status. For part time or on-call staff, compensation is proportionately adjusted based on hours worked. While monetary compensation is important, it's just one component of Noblis' total compensation package. **Posted Salary Range** USD $61,600.00 - USD $96,250.00 /Yr. **Equal Employment Opportunity** Noblis is an Equal Opportunity Employer. Employment decisions are made without regard to race (as well as because of or on the basis of traits historically associated with race, including hair texture, hair type, and protective hairstyles such as braids, locks, and twists), color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, pregnancy, childbirth, lactation and related medical conditions, genetic factors, military/veteran status, or other characteristics protected by law. Noblis is committed to the full inclusion of all qualified individuals. As part of this commitment, Noblis will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact ********************************* **.** **Apply for this job** Make a Referral (**************************************************************************************************************** **Connect With Us!** Want to know about available job opportunities at Noblis? Want to receive personalized alerts with jobs that match your skills and interests? Join the Noblis Talent Connection. **Posted Date** _3 months ago_ _(9/3/2024 8:47 AM)_ **_Requisition #_** _24053_ **_Security Clearance_** _None_ **_Employment Type_** _Full Time_ **_Portal Location : Location_** _US-Remote_ **_Telework Options_** _Remote_ **_Company_** _Noblis_

HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies. At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks. Job Description: We are seeking an experienced AI/LLM Data Engineer to build and maintain the data pipeline for our Generative AI platform. The ideal candidate will be well-versed in the latest Large Language Model (LLM) technologies and have a strong background in data engineering, with a focus on Retrieval-Augmented Generation (RAG) and knowledge-base techniques. Responsibilities - Design, implement, and maintain an end-to-end multi-stage data pipeline for LLMs, including Supervised Fine Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) data processes - Identify, evaluate, and integrate diverse data sources and domains to support the Generative AI platform - Develop and optimize data processing workflows for chunking, indexing, ingestion, and vectorization for both text and non-text data - Benchmark and implement various vector stores, embedding techniques, and retrieval methods - Create a flexible pipeline supporting multiple embedding algorithms, vector stores, and search types (e.g., vector search, hybrid search) - Implement and maintain auto-tagging systems and data preparation processes for LLMs - Develop tools for text and image data crawling, cleaning, and refinement - Collaborate with cross-functional teams to ensure data quality and relevance for AI/ML models - Work with data lake house architectures to optimize data storage and processing - Integrate and optimize workflows using Snowflake and various vector store technologies Qualifications - Master's degree in Computer Science, Data Science, or a related field - 3-5 years of work experience in data engineering, preferably in AI/ML contexts - Proficiency in Python, JSON, HTTP, and related tools - Strong understanding of LLM architectures, training processes, and data requirements - Experience with RAG systems, knowledge base construction, and vector databases - Familiarity with embedding techniques, similarity search algorithms, and information retrieval concepts - Hands-on experience with data cleaning, tagging, and annotation processes (both manual and automated) - Knowledge of data crawling techniques and associated ethical considerations - Strong problem-solving skills and ability to work in a fast-paced, innovative environment - Familiarity with Snowflake and its integration in AI/ML pipelines - Experience with various vector store technologies and their applications in AI - Understanding of data lakehouse concepts and architectures - Excellent communication, collaboration, and problem-solving skills. - Ability to translate business needs into technical solutions. - Passion for innovation and a commitment to ethical AI development. - Experience building LLMs pipeline using framework like LangChain, LlamaIndex, Semantic Kernel, OpenAI functions. - Familiar with different LLM parameters like temperate, top-k, and repeat penalty, and different LLM outcome evaluation data science metrics and methodologies. Preferred Skills + Experience with popular LLM/ RAG frameworks + Familiarity with distributed computing platforms (e.g., Apache Spark, Dask) + Knowledge of data versioning and experiment tracking tools + Experience with cloud platforms (AWS, GCP, or Azure) for large-scale data processing + Understanding of data privacy and security best practices + Practical experience implementing data lakehouse solutions + Proficiency in optimizing queries and data processes in Snowflake or Databricks + Hands-on experience with different vector store technologies

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist & Machine Learning Engineer and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with our existing systems **Responsibilities** + Develop and deploy Machine Learning (ML) models: Design, train, and optimize machine learning models for a variety of applications like forecasting, classification and categorization systems, and churn prediction. + Develop, integrate and maintain Generative AI (GenAI) solutions: Explore and implement GenAI technologies, like large language models (LLMs), to enhance existing applications or create new GenAI-based solutions. This includes working with RAG technologies, embedding models, and crafting effective prompts for LLMs. Ensure the reliable and scalable deployment; and support and maintenance of GenAI models in production environments. + Build user-facing applications: Develop intuitive and user-friendly web applications using modern front-end frameworks (e.g., React, Angular, Vue.js) to showcase and interact with your ML/GenAI solutions. + Construct robust APIs: Design and implement RESTful APIs to integrate your ML models or GenAI solutions with other applications and systems within the organization. + Build and maintain end-to-end ML pipelines: Design, develop, and maintain robust and scalable ML pipelines, encompassing data ingestion, feature engineering, model training, deployment, and monitoring. + Ensure scalability and performance: Design and implement solutions to ensure that your ML and GenAI applications are scalable, efficient, and performant, even with large volumes of data and usage. + Create compelling data visualizations: Develop interactive and insightful visualizations to communicate the results of your data analysis and ML/GenAI models to stakeholders + Collaborate with cross-functional teams: Work closely with principal and senior data scientists, data engineers, business analysts, and product and project managers to ensure successful delivery of projects. + Stay current on the latest trends in AI: Actively seek out and experiment on new ML and GenAI technologies and approaches to enhance your skillset, and the performance and efficiency of your ML/GenAI models. This includes active participation in internal events like AI CodeJam. **Qualifications** + Bachelor's degree in mathematics, Statistics, Engineering, Computer Science, other related field, or equivalent years of relevant work experience is preferred. + At least 4 years of experience as a Full Stack Machine Learning Engineer or similar role preferred + Experience including HTML, HTML5, CSS3 and JavaScript (React preferred), Angular, Vue.js, Python, Java, Node.js, Flask/Django, FastAPI, PostgreSQL. + Experience in DevOps tools like Docker, Kubernetes, Airflow; version control using Git and CI/CD piplelines using Concourse + Knowledge of clinical domain and datasets. + Knowledge of REST, Apigee, Microservices preferred + Experience in Generative AI, RAG implementation, re-ranking, Large Language Models (LLMs), LangChain, LlamaIndex, Hugging Face, Vector databases, Embedding models, Prompting techniques. + Experience with Machine Learning and related technologies such as Jupiter Notebooks, RAG, NumPy, Pandas, Scikit-learn, Tensor-Flow, Pytorch, Supervised and Unsupervised learning, Deep learning, Model evaluation + Understanding of cloud data engineering and integration concepts including GCP, Vertex AI, Cloud functions, Compute Engine, Cloud storage. + Strong mathematical and statistical skills. + 2+ years in the Healthcare industry and knowledge of clinical data preferred. + Delivery experience with Google Cloud Platform preferred. + Agile development skills and experience preferred. + Experience designing and developing machine learning and deep learning solutions and systems. + Experience using statistical analysis to determine data modeling approach, training machine learning tests and experiments. + Experience possessing deep functional and technical understanding of the Machine Learning technologies (Google's Cloud Platform, custom and COTS-embedded) and provide prescriptive guidance on how these are leveraged within the Commercial Technologies and/or Business landscape. + Experience mining and analyzing large structured and unstructured datasets. + Experience identifying the data attributes that influence the outcome, define, and monitor metrics, create data narratives, and builds tools to drive decisions. + Experience in building end-to-end ML pipelines from data ingestion, feature engineering, model training, deploying and scaling the model in production + Experience in model training, model evaluation, model optimization, ML system architecture design, and scalable ML model deployment + Experience building large-scale batch and real-time data pipelines with data processing frameworks like Scio, Google Cloud Platform and the Apache Beam + Proficiency in Python and relevant libraries for machine learning such as scikit-learn and Pandas, as well as Jupyter Notebooks. + Experience in building solutions for AI/ML services and platforms with models in production, ML Ops, CI/CD automation of ML pipelines in a cloud-based environment e.g., (GCP) + Experience interacting with REST APIs and microservices + Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment. **What is expected of you and others at this level** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Recommends new practices, processes, metrics, or models + Works on complex projects of large scope projects may have significant and long-term impact + Provides solutions which may set precedent + Collaborate with stakeholders for completion of new projects **Anticipated salary range:** $93,500 - $133,600 **Bonus eligible:** No **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/15/2024 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology, education services, and learning management solutions to education and faith-based organizations, serving more than 1,300 higher education institutions, 11,500 K-12 schools, 3,500 churches, and millions of individual students, families, and supporters across the globe. Our culture of service enables us to form long-lasting and trusted partnerships, while our focus on creativity and innovative solutions empowers our customer communities to thrive. As a Nelnet company, the perks at NBS go beyond our benefits package. You're part of a community, invested in you as an individual and united by our mission to create opportunities for people where they live, learn and work. The Data Visualization Engineer is instrumental in working closely with the Development, Product and Data Science Teams in determining reporting needs. This position is also responsible for creating effective and insightful reporting visualizations, which will play a major role in key decision-making, user experience enhancements, and process improvements. **JOB RESPONSIBILITIES:** 1. Work with Product, IT and Data Science teams to create innovative and valuable visualizations to identify patterns, trends, and exception. 2. Design effective and useful Dashboards for improved operations. 3. Move existing reports to visual analytics dashboards. 4. Handle requests for visualization and dashboarding as BI and overall Data Visualization (DV) environment matures. 5. Translate data and analysis requests into solutions using a variety of data analysis and visualization tools. **EDUCATION:** Bachelor's degree or equivalent experience. **EXPERIENCE:** 1. Experience with Business Intelligence systems, developing dashboards and visualization. 2. Experience within PowerBI. 3. Experience with Snowflake or other Data Warehouse environments. 4. Experience with SQL, including complex SQL queries. **COMPETENCIES - SKILLS/KNOWLEDGE/ABILITIES:** 1. Technical competency. 2. Logical, analytical, and creative approach to solving problems. 3. Ability to work both in a team and independently. 4. Ability to handle multiple priorities and work under pressure. 5. Good time management skills to plan and organize own work. 6. Ability to work with data teams and technical teams. 7. Knowledge of ETL/ELT development preferred. 8. Mindset of respect, collaboration and pride in ownership. 9. Ability to adapt to change. 10. Focus on delivering value. 11. Commitment to continued improvement and learning. Salary for this position: $85,000 - $95,000 \#LI-AF1 Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance & AD&D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: LINK (*************************************** . Nelnet is an Equal Opportunity Employer, complies with Executive Order 11246, and takes affirmative action to ensure that qualified applicants are employed, and that employees are treated during employment, without regard to race, color, religion/creed, national origin, gender, or sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by Federal or State law or local ordinance. Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at ************ or ****************************** . Nelnet is a Drug Free and Tobacco Free Workplace. You may know Nelnet as the nation's largest student loan servicer - but we do more than that. _A lot more._ We're also a professional services company, consumer loan originator and servicer, payment processor, renewable energy innovator, and K-12 and higher education expert (and that's just a shortlist). For over 40 years, we've been serving our customers, associates, and communities to make dreams possible. EEO Info (******************************************************** | EEO Letter (************************************************************** | EPPA Info (************************************************************************************** | FMLA Info (********************************************************

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description Data Architect MUST HAVE: · Bachelor's Degree or higher · Experience with (“in production”) implementation(s) of Data Architecture standards and principles contained in an industry-recognized EA framework (e.g. TOGAF, Zachman, DoDAF) · Experience leading data conversion initiatives in complex organizations · 7+ years' professional experience in Data Architecture/as a Data Architect including: o Implementation of Data Architecture standards and principles contained in an industry-recognized EA framework (e.g. TOGAF, Zachman, DoDAF) o Development and maintenance of DA artifacts and catalogs · Proficient in the use of Microsoft Office suite, SharePoint, and Visio · Proficient in the use of data modeling tools and techniques · Excellent communication (verbal and written), leadership, analytical, and decision-making skills interacting with high level leadership (e.g. CIO) to functional and technical staff-level positions · Hands on experience with one or more ERP NICE TO HAVE: · Active EA or equivalent certification · Demonstrated experience supporting technology activities for an ERP implementation or a similarly-sized transformative technology project · Experience with financial ERP applications · Experience working with State agencies or other state governments similar in size in terms of annual budget and full-time equivalent (FTE) employee count · Experience with architecting data warehouse and data mart solutions · Experience with architecting business intelligence solutions · Software engineering experience using service-oriented architecture (SOA) including developing and maintaining data services Additional Information Unfeigned Regards, Preeti Nahar | Sr. Technical Recruiter - TAG US | 360 IT Professionals Inc.Contact 510-254-3300 Ext 140

Primary Job Duties and Tasks The activities this candidate will be tasked with include, but are not limited to the following: is to provide technical guidance and expertise in supporting the department in developing, architecting, and maintaining Azure Synapse Analytics solution, Azure SQL Database, Master Data Management (MDM), Azure Databricks, spark pool, and monitoring of high-volume of complex data warehouse processes. Specific Knowledge, Skills and Abilities (KSAs) The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas: Minimum Required KSAs: 5+ years of experience in advanced database design and administration with Azureb SQL /SQL Server 5+ years of experience in DDL, DML T-SQL skills, advanced stored procedure writing skills, tables, primary keys, foreign keys, constraints, indexes, transactions, process logging, and error handling 3+ years of experience with Data Warehouse solutions like Microsoft Synapse Analytics or Snowflake´ 3+ years of experience with MDM tools/ Architecture. 3+ years of analyzing and interpreting large datasets, including cleaning, transforming, and visualizing data. 3+ years of Experience with implementing MDM consumption patterns like Analytical, Operational, Real-time, and bulk consumption patterns 2+ years of experience in predictive models to drive decision-making and improve business outcomes. Familiarity with system catalog views, Azure Cloud, experience with Microsoft Synapsededicated SQL pools and pipelines Ability to provide excellent customer support, meticulous quality of work and work product General Knowledge, Skills and Abilities The submitted candidate(s) must be able to apply common knowledge, skills, and abilities in the following areas: Communication: Able to clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e., project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others. Customer Service: Works well with clients and customers (i.e., business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem. Decision Making: Makes sound, well-informed, and objective decisions. Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions, or unexpected obstacles. Ability to receive and give constructive criticism and maintain effective work relationships with others. Interpersonal: Shows friendliness, courtesy, understanding, and politeness to others. Leadership: Motivates, encourages, and challenges others. Is able to adapt leadership styles in a variety of situations. Problem Solving: Able to identify, evaluate, and use sound judgement to generate and evaluate alternative actions, and make recommendations as accordingly. Team Building: Encourages, inspires, and guides others toward accomplishing the common goal. Education and Certifications Education: Bachelors or Masters Degree in Computer Science, Information Systems, oranother related field. Or equivalent work experience. (Required) Certifications: Microsoft Dynamics 365 Certification (Desired) and MS Dynamics Power Platform Certifications (Desired)