Role Description Sensaria is seeking a Mid-Senior Full-Stack Data Engineer (BI-focused) to join our lean Data and Intelligence team and help build a cloud-based data platform that serves as a single source of truth for business operations. In this role, you’ll have end-to-end ownership of the data lifecycle—from ingestion and transformation to modeling and visualization—helping unify data across systems and deliver reliable, timely insights that drive business decisions. This role is open to remote applicants in the United States and candidates in the RTP, NC area where you would be based at our Morrisville, NC HQ location. At this time we are unable to provide work sponsorship for this role. Key Responsibilities - Design, build, and maintain scalable, secure, and high-quality ELT data pipelines - Implement data validation and quality assurance processes to ensure data integrity - Perform exploratory data analysis and leverage built-in ML tools (e.g., BigQuery ML, Vertex AI) for forecasting and anomaly detection - Develop and maintain BI dashboards and reporting solutions to support data-driven decision-making - Collaborate with cross-functional teams to deliver impactful, data-driven solutions Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related quantitative field - 5+ years in data engineering - 5+ years working with relational databases and SQL - 3+ years working with cloud-based data platforms (GCP preferred) Technical Qualifications - Core Technologies: - Cloud: GCP; AWS (nice to have) - Data Warehousing: BigQuery (primary); SQL Server, Snowflake - Databases: MSSQL, MySQL - Programming: Python, SQL - BI Tools: Tableau (required); Looker or Power BI (nice to have) - Other: Airflow, dbt, real-time data streaming, ELT tools (e.g., Fivetran, Airbyte, Stitch), GitHub, CI/CD pipelines, APIs Core Competencies - Problem-solving: Strong analytical, debugging, and research skills to resolve process issues or data inconsistencies - Ownership: End-to-end ownership of data initiatives - Collaboration: Ability to work effectively with both technical and non-technical stakeholders - Accountability: Commitment to delivering accurate, reliable, and timely data products - Team velocity: Focus on improving development efficiency and accelerating deployment of data models Benefits - Competitive compensation package - Vacation days - Sick days - Paid holidays - Paid maternity and paternity leave - Paid floating holiday - Medical, Dental, Vision - 401K - STD, LTD, Optional Life insurance - Opportunities for professional development

Role Description Inova Data and AI Development is looking for a dedicated Data Governance Lead to join the Team. This remote role will be full-time working day-shift Monday – Friday. The Data Governance Lead is an integral part of Inova’s Analytics department. This role will enforce the policies and procedures that enable Inova to manage its data as an asset. As part of the Data Governance team, the Data Governance Lead will support the essential functions of Data Governance such as: - Metadata Management - Reference Data Management - Information Life Cycle Management - Data Quality - Management of Inova’s key business information This role is responsible for implementing and driving the adoption of Data Governance practices and chosen technology, including: - Data management - Data transformation and validation of quality - Defining roles and responsibilities with the business to support data ownership and curation - Enabling Inova’s business stakeholders to partner in their data journey The Data Governance Lead will help build the framework and roadmap for Data Governance at Inova alongside a team of experienced professionals who are passionate about providing trusted insights that drive world-class healthcare. Qualifications - Bachelor's degree; or Associate’s degree and 2 years relevant professional experience; or HS Diploma/GED and 4 years relevant professional experience - 4 years' experience in leading a data governance program or progressive responsibility in the development of a data governance program, including 2 years of experience leading a data governance program - Epic certified within 6 months of hire Requirements - Supports the Program Director for Analytics and Informatics as a subject matter expert in defining and developing policies, standards, processes, and metrics to support Inova’s Data Governance Program - Leads data stewardship at Inova to promote a data-driven culture - Maintains and publishes Inova’s Data Asset Inventories, Catalogs, Business Glossaries, Data Lineage including documentation of data architecture with minimal supervisory oversight - Maintains high data quality and works with business to define acceptable thresholds for success - Translates business challenges related to Data Governance into resolutions, develops, implements, and supports thereof - Serves as a mentor to Data Governance Analysts and provides coaching; may also delegate and review work of Analyst as needed - Oversees and assists team members in assigned functional area, ensuring team is meeting key deliverables and quality standards, addressing and resolving challenges, managing and tracking performance, and assisting in time management and scheduling; escalates issues to senior leaders as needed - Performs other duties as assigned Benefits - Committed to Team Member Health: offering medical, dental and vision coverage, and a robust team member wellness program - Retirement: Inova matches the first 5% of eligible contributions – starting on your first day - Tuition and Student Loan Assistance: offering up to $5,250 per year in education assistance and up to $10,000 for student loans - Mental Health Support: offering all Inova team members, their spouses/partners, and their children 25 mental health coaching or therapy sessions, per person, per year, at no cost - Work/Life Balance: offering paid time off, paid parental leave, flexible work schedules, and remote and hybrid career opportunities

Job Description: As the job of privacy moves beyond law, policy, and compliance and into operations and the actualization of information technology, we are seeking a driven and highly motivated Data Privacy Engineer to join our dynamic Information Security team. This pivotal role is essential for advancing and carrying out our comprehensive information security, data privacy, and regulatory compliance initiatives across the organization. The Senior Privacy Engineer will be instrumental in building and maintaining the infrastructure and processes necessary to sustain a robust, enterprise-wide data privacy program. This is a proactive, technical leadership role responsible for designing, developing, and implementing complex, scalable data privacy solutions, and requires a strong software engineering background and experience in core principles of modern privacy laws including Transparency, Individual Rights, Consent & Opt-Out, and Data Minimization The Sr. Data Privacy Engineer will serve at the primary liaison across all business functions to ensure consistent adherence to regulatory requirements, ensure all data privacy operations and data processing activities adhere to global privacy regulations (e.g., GDPR, CCPA) and company objectives, and be responsible for reviewing, optimizing, and implementing existing technologies, including Atlan, Salesforce, Snowflake, Transcend, and other technologies. Who you’re committed to being: - You enjoy learning and are open to new ways of doing things. - You are not afraid to be yourself, experiment, make mistakes and learn from them, ask questions, or voice your concerns. - When communicating you are self-aware, insightful, and proactive. - You are a team member first and individual contributor second. You are aware that high-performing teams are only as strong as their weakest link. - You believe in continuous improvement and request frequent feedback from others. What you’ll do: - Lead privacy engineering team providing strategic technical direction for scalable privacy solutions. Translate legal/regulatory requirements into actionable specifications and efficient workflows, ensuring stability, efficiency, and comprehensive enterprise privacy infrastructure coverage (e.g., automated DSAR fulfillment, successful data deletion audits). - Own formal technical design and architecture reviews (e.g., Threat Modeling, Privacy Impact Assessments/DPIAs) for new platform features and major data processing initiatives, acting as the final engineering gate to ensure 'Privacy by Design' adherence before implementation. - Serve as the organization's subject matter expert (SME) providing expert consultations and guidance in privacy engineering, exercising advanced judgment to select and adapt complex techniques (e.g., synthetic data, advanced anonymization, privacy enhancing technologies) and guide the methods and procedures for new assignments. - Evaluate, recommend, and manage the technical implementation of existing and new PrivacyOps and Privacy Enhancing Technology (PET) tooling, justifying expenditures based on risk reduction, compliance efficiency gains, and ROI. - Establish performance metrics for complex privacy workflows, such as automated Data Subject Access Request (DSAR) fulfillment and data deletion procedures. Monitor and triage all ongoing Data Subject Rights requests (DSARs) within the platform to ensure compliance with established Service Level Agreements (SLAs). - Responsible for the operational delivery, continuous improvement, and performance metrics of core privacy platforms (e.g., Transcend, Snowflake, Atlan), including driving end-to-end automation, conducting comprehensive data lineage mapping, and ensuring SLA compliance for all privacy workflows. - Serve as a key liaison, networking across Legal, Product, Engineering, and Business teams to communicate complex privacy concepts and influence the adoption of best practices and control frameworks through consistent application of Privacy by Design principles across new products and systems and the effective resolution of interdisciplinary issues. - Drive technical direction, secure cross-functional alignment on data handling policies, and proactively resolve non-conformance issues and identify privacy risks presented by forward looking technical solutions (i.e., Generative AI and Agentic AI) and the implementation of mitigation techniques that positively impact risk reduction and business enablement. - Conduct in-depth analysis of global legal and regulatory changes, emerging technologies, and internal data practices to recommend and drive strategic enhancements to the enterprise data privacy program and PrivacyOps platform to improve compliance efficiency - Guide the implementation of established data privacy principles, and drive the development of new privacy engineering policies, standards, and control frameworks company-wide, creating and maintaining thorough, in-depth documentation for the privacy infrastructure and complex data flows, including architectural diagrams and procedure manuals. - Ownership technical remediation plans resulting from internal/external audits, regulatory findings, or privacy events, coordinating engineering resources to prioritize and complete complex, high-risk technical fixes. - Mentor and coach team members on privacy engineering best practices, advanced techniques, and the use of privacy tools to elevate the overall privacy engineering capability of the organization. Experience you’ll bring: - Expert-level understanding of privacy regulations with security and privacy standards and frameworks including SOC 2, ISO 27001, GDPR, CCPA, NIST, and EU-US Data Privacy Framework). - Proven ability to design and implement end-to-end automation for complex privacy operations (e.g., DSAR, ROPA maintenance, consent management) utilizing tools like Transcend, Snowflake, and related data platforms. - Experience implementing and integrating PrivacyOps platforms (e.g., Transcend, Snowflake, Salesforce, Atlassian, DataGrail, OneTrust,) with databases and data-lakes for the automation of DSARs. - Applicable IAAP Data Privacy Certifications (e.g., CIPT, CDPSE) or ISC2 information Security/Technology certifications. - Ability to apply privacy expertise to Pluralsight products or services to improve Pluralsight's privacy posture and measure impact. - Can identify and drive solutions for privacy issues that have a positive impact on risk reduction or business enablement. - Demonstrate intellectual curiosity and an open-minded approach to problem-solving, fostering an inclusive and feedback-driven culture. - Excellent communication and relationship skills. Requirements: - 8+ years of specialized experience in data privacy engineering, software development, or a related field, with a demonstrated history of developing and resolving complex models and procedures. - Bachelor's degree in Engineering, Technology, or a related field, or equivalent experience. - This is a remote role; however, applicants located within 45 miles of our Westlake/Dallas, TX office should expect to work on-site Tuesday through Thursday, with remote flexibility on Mondays and Fridays. This approach enables more effective collaboration, quicker decision-making, and a stronger culture, while still providing flexibility. Why you’ll love working here: - We work in a blended environment that supports collaboration, flexibility, and connection across teams. - We are mission-driven, shaping the future of tech upskillling and delivering impact that matters. - We foster a culture of inclusion and belonging, where everyone can contribute and thrive. - We are always learning, creating an environment where you can take on new challenges, expand your skills, and grow with purpose. - Benefits include competitive compensation, bonus eligibility, comprehensive medical coverage, unlimited PTO, wellness reimbursement, professional development funds, and more. About us: Pluralsight provides the only learning platform dedicated to accelerating the technology skills and capabilities of today’s tech workforce. Thousands of companies, government organizations and individuals around the world rely on Pluralsight to support critical technology skill development in areas that are crucial to innovation including artificial intelligence, cloud computing, cybersecurity, software development, and machine learning. We offer highly curated content developed by vetted technology experts, industry leading skill assessments, and hands on, immersive learning experiences designed to help individuals skill-up faster. Physical Requirements: This role is primarily performed in an office or home office setting and involves standard computer-based work. EEOC & Accommodations Statement: Bring yourself. Pluralsight is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or veteran status. We also consider qualified applicants with criminal histories, consistent with EEOC guidelines and local laws. If you need an accommodation to apply, interview, or perform essential job functions, please visit the bottom of our website to learn how to request an accommodation. Learn more about our commitment to diversity, equity, inclusion, and belonging in our DEIB Report. Pay Transparency: The annual US base salary range for this role is $114,000 - $150,000 USD. Actual compensation will depend on location, skills, experience, and other factors. Additional benefits and bonuses may apply. Applications must be submitted within 90 days after the initial posting date to be considered. Recruiting Scam Notice: Please be aware of recruiting scams. We’ll only contact you from an @pluralsight.com email or verified channels. We never ask for sensitive personal info or payments as part of the hiring process. All openings are posted on our Careers page. #LI-DB1 #LI-Remote

• Lead the migration of data from an on-premises application (SQL Server) to a new AWS SaaS architecture (PostgreSQL RDS), ensuring data consistency and integrity. • Design and implement reusable data ingestion processes for new clients, handling different source schemas and standardizing transformation and loading.