Role Description AAPD is seeking a highly motivated and detail-oriented Disability Data Fellow to support an initiative to preserve and expand access to disability data in the United States. The Fellow will support the development and maintenance of AAPD’s Disability Data Archive through activities including: - Identifying, sourcing, and cataloging disability-related datasets from federal, state, and other public sources - Monitoring datasets that may be vulnerable to removal, alteration, or reduced accessibility and supporting preservation efforts - Cleaning, standardizing, and organizing datasets for publication and long-term accessibility - Developing metadata, documentation, and data dictionaries to improve usability and transparency - Developing the architecture for publication of datasets to a public-facing archive and open-data portal - Conducting quality assurance checks to ensure data integrity and consistency - Assisting with literature reviews, environmental scans, and research related to disability data ecosystems and public-sector data practices - Collaborating with AAPD and Microsoft staff, researchers, and external stakeholders to inform archive priorities and workflows - Supporting the development of accessible and user-centered approaches to disability data dissemination - Contributing to reports, presentations, and written materials related to the initiative Qualifications - Demonstrated experience working on disability rights and justice - Strong interest in disability policy, disability rights, public-interest technology, data governance, archival work, or related fields - Experience working with data management in a professional, academic, advocacy, or research setting - Experience with development and/or maintenance of SQL cloud database infrastructure, preferably using Microsoft Azure - Experience in programming, especially in SQL, Python, C#, and JavaScript - Experience with advanced data management applications of Excel - Strong organizational skills and exceptional attention to detail - Ability to manage multiple projects and work independently in a fast-paced environment - Strong written and verbal communication skills - Commitment to disability inclusion, accessibility, and equity Requirements - Familiarity with web crawling, web scraping, or automated data collection tools for identifying and preserving publicly available datasets - Familiarity with version control systems and collaborative repositories, particularly GitHub, including documentation and data-sharing workflows - Familiarity with open data practices, digital archiving, public-sector data, or data preservation efforts - Experience with metadata standards, documentation, data cataloging, or database management - Knowledge of disability policy, disability research, or disability community issues - Experience supporting accessible and user-centered digital products or platforms - Lived experience with disability is strongly encouraged Benefits - Annual salary of $68,000 for the duration of the fellowship term - Fixed monthly stipend towards health insurance contribution - AAPD-observed holidays, sick leave, and generous PTO in accordance with organizational policies How To Apply Please submit a resume, cover letter, and work sample through AAPD’s application portal. Relevant work samples may include: - Data repositories or archives with a brief explanation of the nature and extent of the applicant’s work on these - Code repositories to which the applicant was a primary or sole contributor with documentation - Similar materials demonstrating relevant experience in areas such as data archiving, database management and development, data cleaning and analysis, or data preservation Applications will be reviewed on a rolling basis, with priority consideration given to applications received by Monday, June 22, 2026. Recruitment Process Selected candidates will participate in a multi-stage recruitment process, which may include: - Initial interview to assess qualifications, interests, and overall fit for the fellowship - Work assessment designed to evaluate relevant analytical, organizational, and/or technical skills - Final interview with AAPD staff and project leadership

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance. Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make. This is a hands-on engineering role — you'll be writing production Python and SQL, building Airflow DAGs, and contributing to our Data Vault 2.0 warehouse alongside a team of senior and staff engineers. You'll work on the data infrastructure that powers how Pie quotes, underwrites, and services small business insurance customers. The pipelines and models you build feed everything from pricing to financial reporting, which means correctness and reliability matter. You'll be expected to develop deep domain expertise in insurance and the Pie business over time. Engineers who succeed here understand premium, loss, and policy lifecycle as well as they understand Snowflake. How You’ll Do It - Design, build, and maintain data pipelines that deliver accurate, trusted data with the freshness our stakeholders depend on. - Contribute to data modeling decisions within our Data Vault 2.0 warehouse that balance raw fidelity in the vault with the consumption patterns of downstream marts and analytics. - Administer and optimize Snowflake across warehouse sizing, query performance, access controls, RBAC and user/role management, and ongoing cost tuning. - Build and maintain resilient Airflow DAGs and CI/CD pipelines that make deployments predictable, repeatable, and safe to roll back. - Implement automated testing (unit, integration, and data quality) so issues are caught in CI before they reach production. - Provide mission-critical production support and ensure data reliability through proactive observability tuning, comprehensive incident response, and continuous feedback loops that integrate production insights back into pre-load validation and CI/CD pipelines. - Leverage AI-powered tools (e.g., Claude Code, Cursor, Snowflake Cortex) to accelerate code generation, automate documentation, and improve code quality. - Work with stakeholders across Executive, Product, Engineering, and business teams to translate the "why" behind a request into a technical solution that meets the business need. - Run technical projects end-to-end with guidance from senior engineers — scoping with stakeholders, documenting requirements, and explaining technical trade-offs. - Follow and contribute to best practices for data governance, privacy, and security, including the change management and validation discipline required for SOX-relevant reporting. - Take an active part in the operational responsibilities of running our data infrastructure, with a focus on reliability, cost efficiency, and observability. The Right Stuff - Minimum 2+ years experience as a software engineer or data engineer with a focus on data systems. - Advanced proficiency writing complex SQL and manipulating large structured and semi-structured datasets. - Proficiency in Python for building production-grade data pipelines. - Working knowledge of Snowflake or comparable cloud warehouse — comfortable with warehouse management, access controls, and query performance. Exposure to RBAC and cost governance is a plus. - Experience working with data models in cloud data warehouses such as Snowflake, Redshift, or BigQuery. Familiarity with Data Vault 2.0 or dimensional modeling is a plus, willingness to learn Data Vault is required. - Demonstrated experience using testing frameworks to validate data and code in a production environment. - Hands-on experience with data observability tooling. - Proficiency using AI coding assistants (e.g., Claude Code, Cursor, Snowflake Cortex) as a core part of your development workflow. - Experience running technical projects end-to-end with guidance from senior engineers — scoping, documenting, and communicating with stakeholders. - Comfort working in a regulated environment (e.g., SOX-relevant financial reporting). - Willingness to develop deep domain expertise in insurance and the Pie business over time. The best data engineers here understand premium, loss, and policy lifecycle as well as they understand Snowflake. The use of AI in Application Review: To support a fair, efficient, and consistent hiring process, we use AI-powered tools to assist in the initial screening of applications. These tools help us identify qualifications and prior work experiences that align with the requirements of the role. We may also use AI assistant video tools during interviews to support note-taking and candidate evaluation. All AI-powered outputs are still subject to human oversight and decision-making at multiple stages of the process. By submitting your application, you acknowledge and consent to Pie utilizing these AI technologies to assist in our evaluation process. Base Compensation Range $115,000—$145,000 USD Compensation & Benefits - Competitive cash compensation - A piece of the pie (in the form of equity) - Comprehensive health plans - Generous PTO - Future focused 401k match - Generous parental and caregiver leave - Our core values are more than just a poster on the wall; they’re tangibly reflected in our work Making every part of working with us "Easy as Pie" - including our offer process. When we find someone we'd like as a Pie-oneer (a member of our team), we move quickly to put together a fair offer based on your skills, experience, location, and compensation expectations. Each year Pie reviews company performance and may grant discretionary bonuses to eligible team members. Location Information Unless otherwise specified, this role is remote. Remote team members must live and work in the United States (territories excluded) and have access to reliable, high-speed internet. Additional InformationPie Insurance is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic. Pie Insurance participates in the E-Verify program. Please click here, here and here for more information. Pie Insurance is committed to protecting your personal data. Please review our Privacy Policy. Safety First: Pie Insurance is committed to your security during the recruitment process. We will never ask you for credit card information or ask you to purchase any equipment during our interview or onboarding process. Pie Named to 2025 America's Best Startup Employers Pie Insurance 2025 State of Workplace Safety Report #LI-REMOTE #BI-REMOTE

Role Description Working remotely and under supervision, the Data Quality Advanced Associate supports the accurate reporting of student and staff data to state Departments of Education, federal agencies, and other internal stakeholders within Pearson Virtual Schools, including the Executive Team and Legal. This role works with school staff, the technology team, and external partners to complete recurring reporting tasks and support assigned data projects and initiatives. - Prepare data for state reporting and customer invoicing. - Generate ad hoc reports for external audiences. - Assist with data imports, exports, and related reporting activities. - Bring strong technical aptitude, attention to detail, initiative, and developing project management skills. - Communicate clearly and professionally with school leaders, district superintendents, and state officials. Qualifications - Bachelor’s degree in math, statistics, education, social science, research, or a related field, or equivalent experience in educational reporting. - 1-3 years of professional experience in data reporting, data quality, analytics, or a related field; experience in K-12 education or state educational reporting is a plus. - Strong technical aptitude, including proficiency in Excel, experience working with large and complex data sets, and familiarity with SQL, reporting tools, or data visualization platforms such as Power BI or SQL Server Reporting Services. - Ability to interpret technical file specifications and support the preparation of accurate import and export files under guidance. - Demonstrated ability to support data management, quality control, and process improvement activities while following established procedures and meeting deadlines. - Strong organizational, analytical, and communication skills, with the ability to manage multiple priorities, solve routine problems, and communicate effectively with both technical and non-technical stakeholders. - Knowledge of project management principles is a plus. Requirements - Support academic and financial operations for 1-3 schools of varying complexity by extracting, transforming, and loading student data from school data systems to state reporting systems under guidance. - Interpret technical file specifications, export and import data to meet reporting requirements, and document steps for replication and audit preparation under supervision. - Support the tracking of reporting deadlines and timelines for required reports and assist with timely submission activities. - Create and maintain SQL and Power BI reports to support state reporting and corporate requirements. - Assist with developing and maintaining procedures for reporting to external audiences, including state agencies, funding sources, school boards, and partner organizations. - Maintain data sets for students, staff, and course information. - Partner with school personnel and program and district liaisons to monitor data for inconsistencies, research issues, and support corrective actions and future prevention efforts. - Maintain departmental process and procedure documentation. - Perform other duties as assigned. Benefits - Flexible work environment, including the opportunity to work from home on a regular basis. - Support for maintaining an appropriate home office setup and compliance with work-from-home policies. - Compensation influenced by skill set, level of experience, and specific location. - Minimum full-time salary range is between $60,000 - 65,000. - Eligible to participate in an annual incentive program.

• Atuar na manutenção e evolução de pipelines ETL multiestágio em diferentes domínios de dados; • Implementar transformações de dados, como conversões, filtragem de outliers, preenchimento de lacunas, suavização e interpolação; • Diagnosticar e corrigir problemas de qualidade de dados em pipelines produtivos; • Projetar e manter configurações de mapeamento de campos baseadas em YAML para novas fontes de dados; • Consultar e carregar dados utilizando Cloud SQL e BigQuery; • Construir e manter endpoints utilizando FastAPI seguindo princípios de arquitetura limpa; • Desenvolver testes unitários e de integração utilizando pytest; • Colaborar em revisões de código e manutenção de pipelines de CI/CD no Azure DevOps; • Trabalhar diretamente com dados brutos e pipelines produtivos, garantindo eficiência e confiabilidade; • Traduzir regras de negócio em transformações eficientes utilizando pandas;