About Us Silvur is modernizing what retirement decision-making in America looks like. We partner with financial institutions to deliver world-class tools and educational resources to their account holders—including personalized content, calculators, and connections to healthcare and financial services—to support the critical decisions their members make in their 50s, 60s, and through retirement. Our white-labeled online platform is available to millions of credit union members and has been named to the Forbes Fintech 50 Most Innovative Companies. We’ve been featured in The New York Times, Fortune, CNBC, and Yahoo! Finance, and are backed by leading VCs like Anthemis and strategic investors including Curql, Reseda Group, Idaho Central Credit Union, Maps, WESECU, and Mission Federal Credit Union. We believe health and wealth are inseparable in retirement—and we’re reimagining how credit union members are educated and supported during their Medicare journey. The introduction of our full-service, concierge Medicare agency, Silvur Insurance, in 2024 allows us to extend our services to provide members with much-needed one-on-one guidance led by licensed insurance agents. Our education-first model ensures trust, clarity, and personalized care. About the Role We're looking for a contract Data Engineer to partner with our Principal Data Scientist in maintaining and improving our legacy reporting infrastructure. This is a hands-on, execution-focused role — you'll spend most of your time writing and optimizing SQL, working within Equals for reporting, and ensuring our data pipelines from HubSpot and postgres remain accurate and reliable. What You'll Do - Write, debug, and optimize SQL queries that power legacy dashboards and recurring reports. - Work in Equals to build, maintain, and troubleshoot reporting workflows. - Navigate and document existing database schemas, identifying data quality issues or inconsistencies. - Extract, transform, and validate data from HubSpot (contacts, deals, campaigns, and custom objects) and Postgres databases to support business reporting needs. - Collaborate closely with our Principal Data Scientist to prioritize work and ensure continuity of reporting during the engagement.

Title: Technology Solutions Owner – Business Intelligence & Data Solutions Department: Technology Reporting to: AD, Technology Solutions Compensation: $110K - $125K USD Location: Remote - USA ( Candidates based in the US only) Who We Are: World Education Services (WES) is a non-profit social enterprise that supports the educational, economic, and social inclusion of immigrants, refugees, and international students. For 50 years, WES has set the standard for international academic credential evaluation, supporting millions of people as they seek to achieve their academic and professional goals. Through decades of experience as a leader in global education, WES has developed a wide range of tools to pursue social impact at scale. From evaluating academic credentials to shaping policy, designing programs, and providing philanthropic funding, we partner with a diverse set of organizations, leaders, and networks to uplift individuals and drive systems change. Together with its partners, WES enables people to learn, work, and thrive in new places. For more information about WES, please visit our website at www.WES.org. About the Opportunity: The Technology Solutions Owner (TSO) for Business Intelligence, Data, and Engineering Solutions is responsible for end-to-end ownership of WES’s data ecosystem, encompassing data engineering, analytics, reporting, and visualization initiatives. This role combines strategic program and project management with a strong understanding of data engineering practices and business intelligence delivery. The TSO ensures that data platforms, pipelines, and visualization tools deliver reliable, actionable insights that empower decision-making and advance WES’s mission This role coordinates complex, cross-functional data programs—aligning strategy, roadmap, delivery, and operational performance—with business priorities while fostering collaboration across technology, analytics, and business teams. What You'll Do: - Lead and manage data engineering and analytics programs from conception through implementation and sustainment, through program and project leadership. - Define and manage project scope, timelines, dependencies, and risks across multiple workstreams. - Coordinate cross-functional teams, including data engineers, developers, architects, and business stakeholders to deliver integrated solutions. - Track milestones, budgets, and deliverables; report progress and issues to executive stakeholders. - Work within the TSO team to maintain project governance and delivery frameworks for data and BI initiatives. - Drive continuous improvement in delivery practices, ensuring scalability, quality, and alignment with enterprise standards. - Ensure data engineering and Architecture alignment, oversee development and maintenance of data pipelines, integrations, and data platforms supporting WES’s operational and analytical needs. - Collaborate with Data Engineering and technology teams to ensure platform reliability, performance, and compliance with security and privacy standards. - Contribute to the evolution of WES’s data architecture strategy, including modernization initiatives and a self-service model. - Support implementation of robust ETL/ELT frameworks, data modeling standards, and metadata management. - Promote best practices for data lineage, quality, and governance in collaboration with data stewards and governance teams. - Manage the roadmap for data projects, BI and reporting solutions to ensure alignment with organizational goals and business priorities for Business Intelligence and data delivery. - Oversee the design and delivery of dashboards, reports, and analytics products that drive actionable insights. - Partner with business units to define KPIs and success metrics; ensure data solutions deliver measurable business outcomes. - Drive adoption of self-service analytics through tools such as Tableau. - Ensure quality, consistency, and usability of delivered data products. - Serve as the primary liaison between business, technology, and data teams for BI and data engineering initiatives for stakeholder engagement and communication. - Translate business needs into technical deliverables and facilitate decisions across cross-functional teams. - Communicate program status, risks, and mitigation strategies clearly to executives and stakeholders. - Foster collaboration and promote a shared understanding of data priorities across the organization. - Monitor performance metrics for data pipelines, dashboards, and reports (e.g., SLA/SLO attainment, data refresh rates, uptime) to ensure operational excellence and continuous improvement. - Drive initiatives to reduce technical debt and improve scalability, observability, and resilience in data platforms. - Document architectures, requirements, decisions, and release notes in Confluence; manage delivery using Jira or similar tools. - Implement lessons learned and retrospectives to refine program and project management practices. Your Experience: Required - Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field. - Proven experience managing data engineering, BI, or analytics projects in an enterprise or technology-focused organization. - Strong understanding of data lifecycle management, ETL/ELT processes, and data warehouse/lakehouse architectures (e.g., Snowflake). - Familiarity with data pipelines, integration tools, and cloud environments (Azure, AWS, or GCP). - Demonstrated ability to lead complex programs with multiple technical and business stakeholders. - Strong knowledge of data visualization and BI tools (Tableau, Looker) and their implementation best practices. - Experience with Agile delivery, project management, and collaboration tools (Jira, Confluence). - Excellent communication, facilitation, and stakeholder engagement skills. - Certifications in Agile (CSPO, PMI-ACP) or Project Management (PMP). - Strongly alignment with WES mission and values, and demonstrates a growth mindset. Desired - An understanding and commitment to the WES mission to ensure that the education, skills and talents of international - Data engineering or analytics certifications (e.g., Tableau/Salesforce, Data Visualization) and professional certification in Data Analytics, Business Intelligence, are a plus. - Operate in eastern time zone - Ability to travel What We Offer: Joining our team at WES means embarking on a purpose-driven career with a global impact, where you contribute daily to making a tangible difference in the lives of people worldwide. You'll thrive in an employee-centric environment, with access to learning opportunities, pathways for personal and professional development, and recognition of your achievements. Our inclusive, mission-driven culture values employees and focuses on investing in our people through our culture, people framework, and programming while offering the flexibility of remote work options. - Work-Life Harmony: We believe that success is all about maintaining balance. Enjoy the freedom of remote work and flexible scheduling, paired with generous time-off policies designed to assist you in maintaining a healthy equilibrium between your personal and professional commitments. Our comprehensive wellness programs and work environment are focused on fostering your well-being. - Rewards and Recognition: Your dedication and achievements are the cornerstone of our success. We recognize the importance of valuing your hard work which is why we offer competitive compensation, comprehensive benefits, and tangible rewards to celebrate your contributions. - Professional Growth and Development: We are committed to nurturing growth within our team, recognizing that growth is essential to providing opportunities for career advancement and ongoing professional development. To prioritize your learning and success, we invest in comprehensive training programs and offer tuition reimbursement opportunities. We promote a culture of continuous learning that empowers you to thrive and evolve in your career. - Innovation and Impact: Engage in work that directly transforms lives and empowers individuals and communities by expanding access to global educational and professional pathways. Join us in fostering a culture that values innovation, embraces new approaches, and leverages transformation to implement and drive impactful change. - Community and Connection: Our team is made up of individuals from different cultures and backgrounds who have varying perspectives and ideas. Our diverse workforce reflects the global community we serve, and we take pride in it. We are committed to fostering a workplace where everyone feels valued, respected, and included. Experience the power of connection by participating in a range of activities, including employee-led resource groups, town halls, collaborative team events, meaningful volunteer opportunities, and initiatives that promote equity, celebrate diversity, and cultivate a strong sense of belonging within our organization. Values: - Opportunity - We open doors so people can build better futures. - Inclusion - We become stronger, more creative, and more resilient when we embrace diversity. - Equity - We uphold fairness and justice in our work and actions. - Enterprising - We are resourceful, inventive, and driven. Inclusive Recruitment Process: We welcome all applicants, irrespective of their experience perfectly fitting the job description, as we value diverse and innovative viewpoints. At our organization, individuals who thrive in a culture of continuous learning and inclusive teamwork excel. We are committed to fostering an inclusive and accessible work environment where everyone feels valued, respected, and supported and welcome members of all backgrounds and perspectives to apply. Our Commitment: World Education Services is committed to fostering an inclusive workplace that reflects the rich tapestry of our communities, both in the US and Canada. This commitment is underscored by our unwavering dedication to providing equal opportunities to all qualified individuals, regardless of race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, or genetics. This commitment extends to every aspect of employment, from recruitment and hiring to promotions, training, and benefits. We comply with all applicable federal, state, and local anti-discrimination laws. For us, diversity goes beyond compliance – it's about embracing unique perspectives and cultivating an environment where everyone feels valued and empowered to reach their full potential. If you require assistance and/or accommodation at any point during the recruitment process, please contact us at hiring@wes.org, we're here to support you. Our Talent Acquisition team is happy to work with you to find solutions that meet your needs. For more information about WES, please visit our website at www.WES.org

Role Description The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving. Primary Responsibilities - Pipeline Design & Development: - Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies. - Data Transformation: - Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies. - Data Store Management: - Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization. - Automation & Monitoring: - Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution. - Data Quality Assurance: - Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity. - Documentation: - Create and maintain comprehensive documentation for ETL processes, data models, and system configurations. - Collaboration: - Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions. - Future-Proofing: - Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes. - All other duties as assigned by leadership. Qualifications - ETL development with Glue ETL, Python, Pyspark, RDS. - Solid understanding of data governance principles and data quality best practices. - Ability to work independently and as part of a collaborative team in an Agile environment. - Excellent problem-solving, analytical, and communication skills. Requirements - Bachelor’s degree in Computer Science, Information Systems, or a related field. - 10+ years of experience in data integration, ETL development, and data warehousing. - Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases. - Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation. - Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR. - Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering. Required Certifications - AWS certification (Minimum - Cloud Practitioner, AI Practitioner) Clearance Requirement - Must be a U.S. Citizen (No dual citizenship will be accepted) - Ability to obtain a favorable Public Trust investigation Work Location - Fairfax, VA/Remote - US Based Candidates Only Company Description Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.

Work Schedule Standard (Mon-Fri) Environmental Conditions Office Job Description Company Name: PPD Development, L.P. Position Title: Senior Developer Salary: $138,861.00 - $156,300.00 per year Location: 929 North Front Street, Wilmington, NC 28401 Summary of Duties: Develop, enhance, and maintain scalable Extract-Transform-Load (ETL) and Extract-Load-Transform (ELT) data pipelines that integrate structured and unstructured data from various sources including Veeva Clinical Vault APIs, Amazon Web Services (AWS), Snowflake cloud data warehouse, Secure File Transfer Protocol (SFTP) servers, and additional external and internal platforms. Architect robust automated workflows are designed for streamlined data ingestion, comprehensive data transformation, and real-time analytical processing, ensuring peak system performance, scalability, and reliability. Design, build, and continuously enhance proprietary enterprise-wide frameworks specifically tailored for PPD’s internal operational and analytical requirements. Develop and maintain enterprise data like frameworks enabling efficient extraction, transformation and integration of data from specialized clinical APIs, particularly Veeva Clinical Vault, supporting critical business intelligence activities. Ensure all frameworks meet stringent reliability, security, scalability, and regulatory compliance requirements (FDA, GDPR, HIPAA) enabling advanced, real-time decision-making capabilities across global operations. Apply specialized expertise in direct API integration techniques to extract data accurately and efficiently from clinical platforms. Implement robust API governance practices, comprehensive authentication protocols, systematic error-handling mechanisms, and proactive performance optimizations to ensure uninterrupted and secure data flows. Develop, implement and maintain rigorous data governance policies, security standards, controlled access mechanisms, and compliance frameworks to safeguard sensitive clinical trial, operational, and financial data. Ensure strict adherence to internal data security policies and external regulatory standards (e.g. FDA guidelines, GDPR, HIPAA) establish trust and reliability in data operations across the enterprise. Closely collaborate with global cross-functional teams to architect, implement, and maintain data infrastructures. Continuously refine and automate data warehousing processes and regulatory reporting workflows to boost efficiency, accuracy, and operational effectiveness. Provide strategic technical guidance, mentorship, and oversight to junior developers, engineers, and analysts, fostering skill development, knowledge transfer, and adherence to best practices. Engage proactively with global stakeholders to accurately capture, interpret, and translate complex business requirements into robust, actionable technical solutions, ensuring complete alignment with enterprise-level strategic goals. Rapidly diagnose and resolve intricate technical issues related to complex data pipelines, system integrations, API-based processes, and overall system performance, ensuring minimal operational downtime. Continually research, identify, and apply cutting-edge technologies, best practices, and performance enhancements to existing systems and processes, driving sustained improvement in system functionality, security, efficiency, and scalability. Duties may be performed remotely. Qualifications: Bachelor’s degree in Computer Science, Information Technology, or related field and five (5) years of experience as a Senior ETL Developer, Software Developer, or related role involving clinical trial data programming. Must have five (5) years of experience with the following: Develop and optimize ETL/ELT workflows for structured and unstructured healthcare and clinical datasets, ensuring data quality, consistency, and traceability; Design, build, and maintain scalable, secure, and high-performance data pipelines to support the ingestion, transformation, and integration of clinical trial data from diverse sources such as EDC systems, labs, and wearable devices; Data engineering; Data integration; Cloud computing; Regulatory-compliant data operations; API integrations; Data warehousing; Leverage modern data engineering tools and frameworks including Apache Spark, Airflow, DBT, AWS, GCP, Azure, Snowflake, and Databricks to improve performance and automation; and Programming languages and data tools including Python, SQL, and Talend.