• Assist in analyzing customer needs and capture requirements using multiple methods from the security and identity perspectives.
• Assist in the development and maintenance of systems and policies to ensure the security of information and data assets.
• Perform analysis and judgment outside established protocols requiring a high degree of confidentiality and integrity.
• Responsible for implementation of security policies and procedures (e.g., user log-on and authentication rules, security breach escalation procedures, security auditing procedures and use of firewalls and encryption routines).
• As necessary researching requirements and writing draft policies.
• Work as necessary with external contractors and other vendors for completion of plans and projects.
• Maintenance of systems and policies to ensure the security of information and data assets; monitoring of procedures and compliance with security policies to ensure that user access, resources and information are secure
• Monitoring of emerging network threats and regular consultation with other IT professionals and user departments to provide tactical and strategic technical guidance and assist in the design and implementation of appropriate access protection, audit control and evidentiary methods and procedures.
• As necessary test and/or manage University systems, infrastructure and applications.This position will uphold the ITS core principles of outstanding collaboration and communication, a drive to succeed, a passion for higher learning, and acting with integrity.

• Support a team of data scientists as the machine learning models QA/validation SME
• Responsible for documenting the model Qualification Plan and Technical Specification documents in collaboration with the data scientists and project team.
• Document business and technical requirements for the ML model, including accuracy, performance, and functionality.
• Work closely with Subject Matter Experts to ensure thorough evaluation and testing of the model.
• Review and approve test cases to ensure model requirements and performance criteria are met.
• Generate summary reports as per the Qualification Plan.
• Interpret test results and provide feedback for improvement.
• **Skills Required**:
• Basic understanding of statistical analysis.
• Experience or familiarity with Computer System Validation/Quality Assurance practices in a Digital or IT organization
• Experience with programming languages such as Python, R, Java, and/or C++.
• Familiarity with the lifecycle of AI/ML projects and Software Development.
• Experience with AI/ML modeling, preferably in healthcare/life science data.
• Experience in Pharmaceutical manufacturing processes or chemical engineering background highly preferred.

• Research application design for the transformation and modernization of enterprise applications using Azure cloud and Terraform.
• Assist in deploying and maintaining cloud infrastructure for the organization.
• Maintain a deep understanding of the Azure platform, including Azure Networking, Web Application Firewall, API Management Services, and Microsoft Entra/Active Directory.
• Research and recommend Azure PaaS application and networking services to support cloud growth.
• Document disaster recovery technical procedures for Azure applications.
• Create architectural diagrams and documentation for existing cloud-hosted applications.
• Research, document, and implement an integration process between Azure DevOps and ServiceNow.
• Research products and new technologies to enhance business and operational efficiency.

• Support a team of data scientists as the machine learning models QA/validation SME
• Responsible for documenting the model Qualification Plan and Technical Specification documents in collaboration with the data scientists and project team.
• Document business and technical requirements for the ML model, including accuracy, performance, and functionality.
• Work closely with Subject Matter Experts to ensure thorough evaluation and testing of the model.
• Review and approve test cases to ensure model requirements and performance criteria are met.
• Generate summary reports as per the Qualification Plan.
• Interpret test results and provide feedback for improvement.
• **Skills Required**:
• Basic understanding of statistical analysis.
• Experience or familiarity with Computer System Validation/Quality Assurance practices in a Digital or IT organization
• Experience with programming languages such as Python, R, Java, and/or C++.
• Familiarity with the lifecycle of AI/ML projects and Software Development.
• Experience with AI/ML modeling, preferably in healthcare/life science data.
• Experience in Pharmaceutical manufacturing processes or chemical engineering background highly preferred

• Identify and test new sources of information that unlock new business value.
• Curate and connect external data sets for broad enterprise-wide analytic usage.
• Engineer features by using your business acumen to bin, aggregate, pivot or encode data for optimal results.
• Utilize machine learning to create repeatable, dynamic, and scalable models.
• Advocate and educate on the value and importance of data driven decision making and analytical methods.
• Identify and develop long-term data science processes, frameworks, tools, and standards.

• Statistical analysis, machine learning, modeling, hypothesis testing, clustering, and data mining techniques to identify trends and insights.
• Python, R (Rshiny, dataframes, GGplot, Distributed Computing), Github and Tableau.
• Incorporating multiple data sources in analyses (HDFS, file, database, JSON, HTML, etc).
• Writing SQL queries.
• Loading data into GCP, doing data transformations with BigQuery and building models using vertex AI.
• Working with CPG data from sources like Nielsen and IRI.
• Collaborating with cross-functional teams to integrate and implement data-driven solutions.
• Merging and transforming disparate internal & external data sets together to create new features.

• 6-10 Years of relevant IT experience
• Bachelor's Degree Preferred
• Experience building and managing enterprise cloud infrastructure.
• Strong hands-on experience on AWS and/or Azure environments
• Strong hands-on experience with Infrastructure as Code (IaC) using Terraform, CloudFormation.
• Strong hands-on experience working with various AWS services including but not limited to IAM, EC2, S3, ELB/ALB, RDS/Aurora, ElastiCache, ECS/EKS
• Specialized experience in implementing monitoring & observability solutions, building custom dashboards with AWS native, 3rd party cloud monitoring solutions such as Dynatrace, Grafana, Prometheus
• Proven experience in setting up DevOps infrastructure, CI/CD pipelines, driving automated build management using GitLab, Jenkins, Nexus, Sonar, Ansible Tower, Maven, Code Commit, Code Pipeline and Code build services.
• Extensive expertise in providing guidance, building highly available/fault-tolerant enterprise class infrastructure with multiple-region and multi-AZ models.
• Working knowledge of implementing cloud identity and access management solutions to enforce security guidelines.
• Working knowledge and experience with DevSecOps operating model
• Experience working in Agile teams.
• Development experience using Python and/or Java preferred.
• Proven experience translating architectural plans and business requirements into infrastructure implementations.
• Self-starter with the ability to effectively plan, prioritize and manage multiple projects, tasks and deliverables throughout project lifecycle.

• Work with Infrastructure Leadership to advance enterprise-wide Monitoring & Observability implementations using Dynatrace, Grafana, Prometheus and home-grown log analytical solutions.
• Engage with other infrastructure engineers to build modularized terraform infrastructure as code (IaC) templates to standardize implementations.
• Engage with architects, developers, and technical support teams to achieve success in deployment of Cloud application services within a managed service environment.
• Collaborate with our System IT partners to advance cloud technological capabilities to meet business requirements.
• Develop advanced cloud strategies for streamlined support and direction for new engagements.
• Contribute to innovation and help anchor Proof of Concepts to assess service fitness.
• Assess foundational services, integration services, cloud operations and management capabilities.
• Plan and deliver in an Agile environment.
• Communicate clearly and honestly within and outside the squads.
• Solve complex problems as and when they arise.
• Produce comprehensive documentation.

Desired Skills and Experience

• Monitor cybersecurity software used in environment.
• Investigate incoming alerts and escalate as necessary.
• Investigate suspicious email reports.
• Review incoming incident response hotline calls.
• Threat hunting within the environment to prevent security incidents.
• Perform vulnerability scans in environment. Research solutions to vulnerabilities and work alongside system owners and techs to remediate vulnerabilities.
• Create Threat Assessments to aid in evaluating risks posed by vulnerabilities or potential threats based on research of upcoming trends and intelligence feeds.
• Work with other CSOC team members to create and execute Security Awareness Training and Testing for the enterprise and FIT clients.
• Gather information as required to present in board reports.
• Assist with maintaining email filtering systems and release emails when deemed safe.
• Participate in CSOC team meetings.
• Assist with reviewing and remediating items found during audits, both internal and external.
• Develop and support cybersecurity environments for FIT CUSO clients.
• On-Call Rotation for after hour alerts/cybersecurity.
• Comply with Founders’ policies and procedures, as well as applicable laws, regulations, and statutes issued by federal agencies such as NCUA and FFIEC, including, but not limited to, GLBA and BSA. Employees have legal and regulatory obligations to respect and protect the privacy of information and its integrity and confidentiality.
• All other duties as assigned.

• Excellent communication, documentation skills, and the ability to understand and explain technical details to technical and non-technical audiences is required to be successful.
• Ability to effectively communicate on complex issues with a high level of effectiveness.
• The ability to work in a team, present a trustworthy image, and deal effectively with others is required.
• Must be a self-starter with the ability to manage multiple work assignments and priorities with urgent deadlines, maintain excellent service delivery, while working with a fast-paced team.
• Strong data analysis, research, analytical and testing skills.
• Able to work independently without significant supervision.
• Bachelor’s degree in computer science or a related field is preferred.
• ISACA Cybersecurity Fundamentals certification is required within 12 months.

• Paid Holidays
• Paid Time Off
• Family-oriented culture that values work/life balance
• Retirement Plan (401k with employer contributions + Pension Plan fully funded by FFCU)
• Comprehensive Health and Dental Insurance
• Life and Accidental Death & Dismemberment Insurance (at no cost to employee)
• Voluntary Supplemental Life Insurance coverage for employee, spouse, and children
• Health Care and Dependent Care Flexible spending accounts
• Long Term Care Plan
• Short-Term and Long-Term Disability Insurance
• Tuition reimbursement to assist with furthering education
• Certifications - Assistance with achieving and maintaining
• Fit Founders Wellness Program

About the job

• Design, develop, optimize, and maintain data architecture and pipelines that adheres to ETL principles and business goals
• Develop and maintain scalable data pipelines, build out new integrations using AWS native technologies to support continuing increases in data source, volume, and complexity
• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment
• Support standardization, customization and ad hoc data analysis and develop the mechanisms to ingest, analyse, validate, normalize, and clean data
• Write unit/integration/performance test scripts and perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
• Implement processes and systems to drive data reconciliation and monitor data quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes
• Lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering to improve productivity
• Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
• Learn about machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics
• Solve complex data problems to deliver insights that help achieve business objectives
• Implement statistical data quality procedures on new data sources by applying rigorous iterative data analytics
• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop Administrative Fundamentals
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms

• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing
• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
• Hands on experience with major components like Hive, Spark, and MapReduce
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Experienced in Hadoop clustering and Auto scaling
• Good knowledge in apache Kafka & Apache Flume
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Advanced experience and understanding of data/Big Data, data integration, data modelling, AWS, and cloud technologies
• Strong business acumen with knowledge of the Industrial Products sector is preferred, but not required
• Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata
• Ability to build and optimize queries (SQL), data sets, 'Big Data' pipelines, and architectures for structured and unstructured data
• Experience with or knowledge of Agile Software Development methodologies.
• Demonstrated understanding and experience using:
• Data Engineering Programming Languages (i.e., Python)
• Distributed Data Technologies (e.g., Pyspark)
• Cloud platform deployment and tools (e.g., Kubernetes)
• Relational SQL databases
• DevOps and continuous integration
• AWS cloud services and technologies (i.e., Lambda, S3, DMS, Step Functions, Event Bridge, Cloud Watch, RDS)
• Databricks/ETL
• IICS/DMS
• GitHub
• Event Bridge, Tidal

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution
• Excellent communicator (written and verbal formal and informal)
• Ability to multi-task under pressure and work independently with minimal supervision.
• Partner with Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives
• Coordinate with Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling
• Support Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value
• Collaborate with AI/ML engineers to create data products for analytics and data scientist team members to improve productivity
• Advise, consult, mentor and coach other data and analytic professionals on data standards and practices, promoting the values of learning and growth
• Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions

• Experience in leading and influencing teams, with a focus on mentorship and professional development
• A passion for innovation and the strategic application of emerging technologies to solve real-world challenges
• The ability to foster an inclusive environment that values diverse perspectives and empowers team members

• Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.

• The client CSRM needs a Security Architect to help the team resolve possible security threats and identify areas of weakness in a client network system.
• Security Architects must respond promptly and effectively to possible breaches of security.
• As a senior member of the IT team, a Security Architect will also help cultivate a culture of security awareness, continue the education of personnel, and ensure security policies are adhered to at all times.
• The Security Architect will help the team plan, research, and design security architecture for client systems.
• Develop, review, and approve installation requirements for LANs, WANs, VPNs, firewalls, routers, and related network devices.
• Determine security protocols by evaluating business strategies and requirements.
• Respond to, and investigate security incidents and provide thorough post-event analyses.

• Opportunity to earn great experience and growth with a global leader in Cyber & Network Security.
• Full benefits including but not limited to: Blue Cross Medical HMO and PPO Options, Mutual of Omaha Dental, Vision, Short-term and Long-term disability, Life Insurance, & 401k.
• 100% Employer Paid Telehealth for Employees & their families.
• 100% Employer Paid Life Insurance.
• 100% Employer Paid Employee Assistance Program (EAP).
• Monthly PTO accrual from your first day of employment, along with many opportunities to earn additional PTO through monthly employee recognition awards and participation in ‘Nuspire Good Time’ Events.
• ‘Nuspire Good Time’ events 2x per month to build team cohesion & collaboration.
• Employee training and professional development programs available through Learning Management System (LMS), with full access to LinkedIn Learning.
• Certification Reimbursement Program.
• Nuspire is an Equal Opportunity Employer.

• Transforming data sets, quantitative and qualitative analysis into compelling visuals.
• Providing visual, technical and editorial guidance.
• Creating and editing visual content for business analysis to key stakeholders
• Communicate the results both verbally and written.
• Participate in presentations to learn various aspect of the operations.
• Timely technical risk assessments
• Actively participate in relevant Scrum and SAFe rituals and take part in continuous journey toward a more agile organization
• Interns will typically be required to document and present their findings as well as making an end of summer presentation to the group about what they achieved during their internship
• Other duties as assigned
• Job description subject to change at any time

• Must be pursuing a degree in Computer Science, Business Analytics and Data Analytics, or equivalent technical domain.
• Excellent visual skills, including demonstrable design knowledge, such as layout, typography, color, interaction design and fluency with Visualization tools
• Working knowledge of open source or commercial data visualization tools (e.g. Tableau, QlikView, Spotfire, etc.)
• Working knowledge of HTML, CSS and JavaScript, and key libraries, especially D3, would be helpful
• Working knowledge of Cloud computing (Azure preferred)

• Can observe and respond to people and situations and interact with others encountered in the course of work.
• Can learn and apply new information or skills.
• Must be able to read and interpret data, information, and documents.
• Strong customer focus and commitment to customer satisfaction through prioritization, quality, efficiency and professionalism.
• Ability to complete assignments with attention to detail and high degree of accuracy.
• Proven ability to perform effectively in a demanding environment with changing workloads.
• Result driven-demonstrate ownership and accountability.
• Identifies bottlenecks and drives improvements.
• Work independently or as part of a team and follow through on assignments with minimal supervision.
• Demonstrate open, clear, concise and professional communication.

• This position is located on-site in San Diego, CA. It requires onsite presence to attend in-person work-related events, trainings and meetings and to further ensure teamwork, collaboration and innovation.
• Routinely required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch. Occasionally required to move around the campus.
• Occasionally lift and/or move up to 20 pounds.
• Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus.
• Must be willing to work in a clean room environment, wearing coveralls, hoods, booties, safety glasses and gloves for entire duration of shift.
• While performing the duties of this job, the employee routinely is required to sit; walk; talk; hear; use hands to keyboard, finger, handle, and feel; stoop, kneel, crouch, twist, reach, and stretch.

• Did you realize too late in your degree program that you wished you had pursued technology?
• Do you wish you could pivot into data engineering from your current job or career path?
• Did a friend or family member suggest data engineering might be a field for you but are unsure where to start or how you would break into it?

• Ability to relocate anywhere in the United States
• Bachelor's Degree in any discipline
• Ability to work in the United States without visa sponsorship now or at any point in the future

• Passion for learning & interest in learning technology skills
• Logic & reasoning skills
• Communication skills
• Teamwork & collaboration skills

• 3-4 months to focus on building the technical skills needed from the ground up (paid at $600/wk)
• Guidance from Senior Engineers who are passionate about sharing their expertise in an immersive training environment
• $2,500 relocation assistance
• 2 years of project experience with clients
• Hourly pay rate of $24.04 (equates to $50k annually) or $28.85 (equates to $60k annually) depending on assigned location
• Dev10 Mentor to help you navigate the corporate culture and support your success
• Benefits include health, vision, dental, 401k, and paid time off

• Perform investigations that require a deep understanding of relationships among multiple data sources to identify systemic data quality issues and implement solutions
• Build and perform tests on large datasets to determine data quality and integrity
• Define and automate processes; document and maintain efficient procedures, adhering to best practices in data analysis and collection
• Evaluate system performance and design, and monitor its effect on data quality
• Collaborate closely with cross functional teams to analyze TV marketing campaigns. Build reports and data visualization to support client services and media buying teams
• Provide ad-hoc data analysis, use complex data-intensive analysis to identify and forecast trends, conduct deep-dive quantitative analyses to optimize KPIs
• Collaborate with engineers to improve data collection and storage processes

• 1+ year of relevant work experience, but also open to new grads
• Intermediate to advanced experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
• Steadfast focus on the details, while keeping strategic priorities top-of-mind
• Radiate positivity and possess a “can-do” attitude
• Strong presentation skills, with the ability to translate data into business insights
• A quick learner, with the ability to work independently in a fast-paced environment; adaptability and a strong self-teaching ethic are highly valued
• Strong strategic thinking capabilities and project management skills
• Proven passion for the data quality discipline
• Extremely meticulous in approach to work
• Outstanding attention to detail
• Bachelor’s in a technical field (e.g., Computer Science, Mathematics, Physics)

• Advanced degree in a technical field
• Experience with reporting tools (such as Tableau, Looker, etc.)
• Ability to manipulate, analyze, and interpret large amounts of data and to organize findings and translate into actionable insights using original or innovative techniques
• Industry experience a plus

• Competitive salary ($65,000 - $85,000 annually)
• Equity compensation
• 100% health insurance premium coverage for you and your dependents
• Unlimited PTO and sick days
• Snacks, drinks, and catered lunches at the office
• Team building events
• $1000 annual continued education benefit
• $500 WFH reimbursement
• $125 pre-tax monthly stipend to spend on whatever you want
• Annual mental health awareness app reimbursement
• FSA and commuter benefits
• Monthly Company Wellness Day Off (During WFH)
• Hybrid RTO, 2 flex days a week in 2024, likely to increase to 3 days after but no more than that. This is an in-office position