• Support the Louisiana State Office of Technology in designing and managing a comprehensive data framework. • Establish the vision and blueprint for the organization's data ecosystem. • Lead efforts in data modeling and design, software development support, and database administration. • Write and maintain complex SQL queries to support reporting, analysis, and data operations. • Collaborate with stakeholders to identify data requirements and translate them into scalable architectural solutions.

Role Description At Dreamix, we’re actively seeking a skilled Data Engineer to join our growing team. We’re looking for someone with a strong foundation in data engineering who focuses on building clean, efficient, and scalable data solutions. If you enjoy working in a collaborative environment and want to contribute to meaningful data-driven projects, we’d be glad to hear from you. - Design, build, and maintain data pipelines across ingestion, transformation, and delivery layers - Implement transformations that apply business rules and produce clean, governed datasets - Ensure pipelines are performant, observable, and maintainable - Develop data quality checks, tests, and validations to meet data contracts and business requirements - Investigate and resolve data quality issues in development and production - Adhere to agreed engineering standards, naming conventions, and code review practices - Ensure all work is documented, version-controlled, and maintainable by the team - Collaborate with engineering and data stakeholders on pipeline design and data requirements Qualifications - Hands-on experience in data engineering (3-6 years) with Databricks exposure in a production environment - Strong Spark SQL skills with proven experience building data pipelines - Experience with at least one data transformation framework (e.g. DBT, DLT, Spark SQL, or similar) - Solid understanding of data modelling concepts (dimensional, relational, or entity-based) - Familiarity with version control (Git) and engineering best practices - Ability to operate effectively within a structured, standards-driven delivery environment Requirements - Exposure to data quality frameworks or testing tooling - Experience in regulated industries or enterprise-scale data environments - Familiarity with CI/CD for data pipelines Benefits - A warm and supportive work environment where you can reach your full potential - Flexible working hours that allow you to balance your work and personal life - Unlimited home office to help you stay productive and focused - Opportunities for professional development, including certifications and training - Additional benefits for academic teaching and speaking engagements - Knowledge-sharing sessions where you can learn from our Dreamix team - Team and company-wide events that bring us together - Amazing week long summer office and winter office initiatives - Additional health insurance and dental allowance to ensure your well-being - Multisport card to encourage a healthy and active lifestyle - Office massages to help you relax and unwind

Role Description At Leap Tools, we are building the world's most advanced solutions for the interior décor industry. Our technology lets you preview products in your own room before you buy them. You are a Data Engineer with a strong foundation in building and maintaining data pipelines and data models that power analytics, reporting, and product insights. - Design, build, and maintain reliable ELT pipelines that ingest and transform data into our centralized data warehouse. - Model data for analytics and reporting use cases, ensuring performance, correctness, and usability for downstream consumers. - Partner with Product, ML Engineers, Data Scientists, and DevOps to support data needs across the organization. - Take ownership of specific data pipelines, datasets, or warehouse components, including monitoring, debugging, and iterative improvement. - Help improve data quality, testing, and documentation standards within the data platform. - Participate in system design discussions and code reviews, learning from senior engineers and contributing your perspective. - Unblock and support internal stakeholders by making data accessible, understandable, and trustworthy. Qualifications - 2+ years of professional experience in data engineering, analytics engineering, or backend engineering with a strong data focus. - Strong SQL skills and working proficiency in Python. - Experience building or maintaining data pipelines and working with a data warehouse or analytics stack. - Solid computer science fundamentals, based on a degree in Computer Science or equivalent practical experience. - Understanding of system architecture with an emphasis on reliability, availability, and performance. - Strong focus on execution and delivering production-ready solutions. - High attention to detail and commitment to data quality and long-term maintainability. - Clear communication skills and comfort collaborating across teams. - Comfortable working in a fast-paced, evolving environment where learning and adaptability are key. - Familiarity with our stack is strongly preferred but not required. Requirements - We hire humans, not job descriptions. You should apply even if this role and salary range don't align with your experience. - We're happy to create unique roles and compensation for the right talent. Benefits - Remote-first company that encourages working from where you're most productive. - Tight-knit teams that cultivate an ownership mentality. - Parental leave program. - Work-from-home stipend. - Your birthday (and our company's birthday) is a day off! - Work anywhere in the world for up to 3 months! Company Description Leap Tools is an equal opportunity employer committed to fostering an inclusive, equitable, and accessible environment. Accommodations are available on request for candidates taking part in all aspects of the interview process.

Role Description We’re on a mission to empower every person to own their inner potential, and we’re seeking a Member Experience, Data Privacy Specialist who will protect member data while scaling safe, high‑quality support experiences. In this role, you’ll serve as a specialist within Member Experience (MX) focusing on data privacy, from data subject requests and account/data deletion to complex login, identity, and incident cases. You’ll directly support members while focusing on true privacy and regulatory risk, strengthen our processes and tooling that support Data Privacy work, and partner closely with Privacy, Security, and Support Operations to implement improvements. Responsibilities - Own direct interactions with our members, handling GDPR/CCPA data subject requests, account/data deletion, and complex identity/login/privacy issues in our Data Privacy queues. - Maintain a healthy Data Privacy queue by triaging and routing correctly, reducing mis‑routed tickets, and maintaining SLA targets. - Drive privacy quality and insights using reports and dashboards to spot patterns (misrouting, defects, incident trends) and convert them into concrete changes in routing, macros, knowledge content, and training. - Own Data Privacy escalations and incidents by operating our escalation process and coordinating with Privacy/Security on incident reporting, investigation, and member communications. - Partner cross‑functionally on Data Privacy improvements (Privacy, Security, IT, WFM, Analytics, Support Ops) to implement the MX Data Privacy roadmap, tooling changes, and WFM staffing models for Data Privacy. Qualifications - 4+ years of experience in customer support, operations, trust & safety, or similar roles, including 2+ years working directly with privacy, security, or other regulated workflows (e.g., GDPR/CCPA, incident handling, data subject requests). - Hands‑on experience in at least one major ticketing platform (e.g., Zendesk) plus collaboration and project tools (Jira, Confluence, Google Workspace, Slack). - Demonstrated ability to interpret policies and SOPs and turn them into clear internal notes, macros, and member‑facing explanations that are both accurate and empathetic. - Experience writing and maintaining operational documentation (SOPs, playbooks, training guides) and driving adoption of that content across teams and/or BPO partners. - Strong analytical and problem‑solving skills; comfort using dashboards or tools like Tableau, Unwrap, or Maestro to investigate patterns and propose improvements. - Excellent written and verbal communication in English; ability to communicate clearly with frontline agents, senior stakeholders, and cross‑functional partners (Privacy, Security, Product, Engineering, WFM). Nice to Have - Direct experience as a Data Privacy or Security specialist supporting consumer products, health/fitness apps, or other high‑sensitivity domains. - Familiarity with GDPR/CCPA concepts (data subject rights, lawful bases, deletion/retention, data portability) and how they show up in day‑to‑day support interactions. - Experience with OneTrust or similar systems for managing DSRs, account deletion, and identity verification flows. - Exposure to HIPAA/MDR considerations, incident response processes, or enterprise/healthcare partner integrations that increase privacy and compliance requirements for MX. - Prior work with BPO or external partner teams handling privacy‑adjacent queues, including training, QA, and SOP ownership. Requirements - Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. - Region 1: $80,750 - $95,000 - Region 2: $73,950 - $87,000 - Region 3: $68,000 - $80,000 - A recruiter can determine your Region based on your US location. - We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI). Benefits - Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. - Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. - We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Disclaimer - Beware of fake job offers! We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. - Our jobs are listed only on the ŌURA Careers page and trusted job boards. - We will never ask for personal information like ID or payment for equipment upfront. - Official offers are sent through Docusign after a verbal offer, not via text or email. - Stay cautious and protect your personal details. - To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.