Title: Senior Data Engineer Location: United States Workplace: remote Category: Data & Analytics Job Description: Company Overview: Age of Learning® is the leading developer of engaging and effective Pre-K through 5th grade learning resources that help children build a strong foundation for academic success and a lifelong love of learning. The company’s research-based curriculum, developed by education experts, includes the award-winning programs ABCmouse.com® Early Learning Academy and Adventure Academy™, as well as the adaptive, personalized school solutions, My Math Academy®, My Reading Academy®, and My Reading Academy Español. Having served over 50 million children worldwide, Age of Learning is a global leader in efforts to advance equity, access, and opportunity for all children. To learn more about Age of Learning, visit www.AgeofLearning.com. Summary: As a Senior Data Engineer on the Data and Analytics team, you set the architectural direction for our data platform and own the trustworthiness of the data layer the company relies on. You partner closely with data analysts, product managers, designers, and production engineers, translating their needs into durable systems, mentoring the people around you, and continuously raising the bar for what "good" looks like in our data org. Responsibilities: • Design, build, and maintain a simple, effective, and scalable data warehouse on Snowflake — with clean models, well-named fields, and documentation that makes the warehouse easy to use by downstream users and systems • Implement and manage data transformation with dbt to ensure reliable, well-tested pipelines • Develop and evolve data models, semantic layers, and metric definitions that support a wide range of business needs while keeping data consistent and accurate across the organization • Own data quality, observability, and testing that protects downstream consumers from broken or misleading data • Build and evolve internal AI tooling (skills, agents, etc) that makes the Data Engineering team more effective • Partner with analysts, product engineers, and business stakeholders to understand their needs, scope the right solution, and deliver outcomes • Mentor analysts and peers, fostering a culture of learning, rigor, and continuous improvement • Proactively identify operational issues and propose evolutionary solutions Required Qualifications: • 5+ years of data engineering experience, with a track record of owning systems end-to-end • Strong SQL, Python, and data modeling skills — opinionated about design strategies and best practices • Hands-on experience with dbt and Snowflake • Experience with clickstream / event data • Demonstrated ability to design and ship scalable data systems • Comfort using AI tools (Claude Code, Cursor, or similar) as part of your daily workflow • Excellent written communication — clear documentation, well-scoped specs, and the ability to explain technical tradeoffs to non-technical partners • Strong project ownership: defining requirements as you go, communicating tradeoffs, and delivering results within timelines • Ability to leverage abstraction to solve complex problems Preferred Qualifications • Experience designing semantic layers, metric stores, or data contracts • Experience building A/B testing or experimentation frameworks • Experience building or contributing to internal AI tooling — skills, agents Total Compensation: The estimated salary range for a new hire in this position is $160,000 USD to $190,000 USD. Salary may vary depending on job-related factors, including knowledge, skills, experience, and location. Age of Learning currently provides: • 90% of employee health and welfare benefits premiums & 65% of dependent benefits premiums • A 401(k) program with employer match • 15 paid vacation days (increases to 20 days on your 3rd anniversary), 12 observed national paid holidays, 9 sick days, and 16 paid volunteer hours per year • Our flexible work culture means 2 or more days in the office (hybrid) or 100% fully remote options available for most positions Security Advisory At Age of Learning, we prioritize a safe recruitment process. Communication will come solely from official Age of Learning email addresses, @aofl.com, or our verified LinkedIn Recruiter accounts — be cautious of deviations. We will never request sensitive personal information during the early application stages. Interviews are conducted via phone, in person, or Zoom — never through messaging apps. Job offers are communicated verbally and followed by written documentation via Docusign. Any requests for personal information will occur through secure channels only. An Equal Opportunity Employer Age of Learning, Inc. (the “Company”) is committed to a policy of Equal Employment Opportunity and will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin or ancestry, sex, gender expression, age, physical or mental disability, medical condition, pregnancy, veteran or military status, marital status, sexual orientation, gender identity, domestic partner status, genetic information, or any other legally-recognized protected basis under federal, state, or local laws, regulations, or ordinances. Age of Learning, Inc. (the “Company”) will consider qualified applicants with criminal histories pursuant to EEOC requirements and state applicable laws, e.g. New York City Fair Chance Act.

Title: Sr. Data Science Manager - Financial Crimes Job Description: Location: ABOUT THE JOB (JOB BRIEF) Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the Deputy Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the team meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Senior Data Science Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message. ESSENTIAL JOB FUNCTIONS - Oversee a small quantitative team (2-4 direct reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFAC - Research, compile and evaluate large sets of data to assess quality and determine suitability for model building - Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance - Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives - Proactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholders - Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact - Provide strategic consultation and thought leadership to senior / executive level business partners REQUIRED QUALIFICATIONS - Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics - Demonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/Artificial Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in Generative AI (GenAI). - Hands-on work experience with statistical coding in SAS and/or Python - Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing - In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices - Demonstrated direct management experience - Excellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting; translate technical observations to a non-technical audience - A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact - Remote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred. DATA LITERACY - Ability to: - Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy - Lead discussions about pros/cons of applications with senior leadership - Monitor industry trends and direction of data analysis technologies TECHNOLOGY & TECHNIQUES - Advanced Microsoft Office Suite - SQL/NoSQL - Relationship data structure - Selecting and retrieving data including unstructured data retrieval, archival, and ETL - Databases - Advanced Python/R/SAS: - Databases - Efficient coding - Can build strong code controls and translate code into high-level commentary - Understanding of and ability to leverage: - Cloud-based computing - Distributed computing MODEL BUILDING & MAINTENANCE - Ability to: - Establish standards and best practices; forecast future modeling tools / techniques - Identify, employ, and evangelize emerging techniques from industry / research - Coach others on data modeling methods / techniques - Facilitate sessions for complex data models - Assess and understand risks; contingency plans - Communicate observations to senior executives - Translate technical observations to a non-technical audience COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. #LI-Hybrid

Title: Clinical Data Engineer Location: Denver, CO Job Description: Full-time Description We're Hiring: Clinical Data Engineer – Remote, Must Live in State of Colorado Are you passionate about population health and interested in improving patient experience and outcomes? We support community health organizations across Colorado with technology, data, and resources that help people get the care they need, when and where they need it. If you're looking for a mission-driven organization where your work has a real impact in real communities, Carina could be the right place for you. At Carina Health Network, we’re transforming community health by helping our members deliver proactive, data-informed, and whole-person care that drives measurable impact. Our work helps people with chronic conditions like diabetes and high blood pressure stay healthier, ensure older adults get regular check-ups, and identify mental health needs early. We help reduce unnecessary emergency room visits by connecting people with the right care at the right time. Through our value-based care programs, we empower frontline care teams to improve outcomes while earning fair, sustainable reimbursement. By saving money and reinvesting in health services, we strengthen the systems that care for Colorado’s underserved populations, making a meaningful difference for both care teams and the patients they serve. Join us in reimagining the future of health care, where your work truly matters. What You’ll Do The Data Operations department provides data management, integration, and reporting services for multiple external and internal consumers. The Clinical Data Engineer will be responsible for all aspects of clinical data management that support Carina’s production services. Candidate must have experience in Microsoft SQL database development, clinical data integration, ETL (extract, transform and load) tools and methods, analytics, reporting, and documentation. - Provide development and maintenance support for clinical data integrations between systems. - Successfully utilize data standards such as HL7, FHIR, CCD, CCR and claims data. - Integrate standard healthcare code sets like LOINC, ICD9/10, CPT4 and SNOMED. - Provide development and maintenance support for the EDW and supporting databases. - Provide automated solutions whenever possible and proactively suggest alternative solutions. - Assist in the development of new databases and associated processes as necessary. - Provide data analytics report development for specific projects as needed. - Develop data validation reports and analysis where applicable. - Develop technical documentation of data integrations and processes. - Communicate and collaborate with other team members and clients to develop innovative data solutions. - Utilize up-to-date knowledge of databases and data quality best practices to produce effective solutions. - Remain knowledgeable in healthcare data standards, measures, and code sets as well as applicable data privacy practices and legal requirements. What We’re Looking For - Bachelor's degree in data analytics, public health, or a related field preferred or equivalent in experience - Works in a SQL environment, especially with data transformation, stored procedures, and query development. - Knowledge of data warehousing best practices, concepts and processes. - Strong analytical and problem-solving skills, with demonstrated change management experience. - Demonstrated ability to set and meet project timelines and deliverables. - Effective interpersonal and communications skills with the ability to interact with various levels of personnel. - Is flexible, organized, self-directed, able to prioritize multiple tasks, and able to manage a full workload. - Experienced in Microsoft Office and Microsoft Operating Systems. - Ability to work with minimal supervision and maximum accountability. - Strong business and technical writing abilities. - Experience working in Snowflake Cloud Database. - Experience in Python, JavaScript, and/or C#, and familiarity with REST API connections. - Knowledge of IHI triple aim, clinical quality improvement, and primary care operations and workflows. - Ability to attend conferences and workshops for further education to expand and improve management skills. - Fluency in written and spoken English. Why You’ll Love Working Here - Insured group health, dental, and vison plans (Employer covers 100% of the cost for dental and vision) - Medical and dependent care flexible spending account options - Employer contributions $900 annually towards a Health Reimbursement Employer (HRA) or Health Savings Account (HSA), depending on the health plan selected - 401k retirement plan with up to a 4% employer contribution match - 100% employer-paid life, AD&D, short-term, and long-term disability plans paid for employees - Free 24/7 access to confidential resources through an employee assistance program (EAP) - Voluntary benefit plans to complement health care coverage, including accident insurance, critical illness, and hospital indemnity coverage - 17 days of paid vacation within one year of service - 12 paid sick days accrued by one year of service - 14 paid holidays (which includes two floating holidays) - One paid volunteer day - Employer-paid programs/courses for professional growth and development - Cell phone and internet reimbursement - Competitive salary and full benefits - Annual, all expenses paid staff retreat - Flexible work (remote or hybrid) - Supportive, mission-driven team - Opportunities to learn and grow EEO Statement Carina Health Network provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Salary Description $85,000 - $100,000

Role Description We are seeking an experienced Data Migration Consultant to deliver end-to-end data migration projects across a diverse client base, including nonprofits, charities, community service organisations and professional associations. This is a hands-on, client-facing role where you will be responsible for shaping and delivering data migration projects, from discovery and design through to implementation and handover. You will work closely with cross-functional teams including Solution Architects, Developers, Designers and Project Managers to deliver high-quality, scalable solutions. You will also play a key role in guiding clients through their data migration journey, acting as a trusted advisor to ensure solutions are practical, sustainable and aligned with project goals. Responsibilities - Lead and facilitate client data workshops to gather requirements and define data migration strategies. - Design and deliver fit-for-purpose data migration solutions across varied client environments. - Hands-on end-to-end data migration into Salesforce, including planning, design, build, testing and deployment. - Perform data analysis and develop clear, well-documented migration approaches and strategy designs. - Lead data team members to ensure successful project delivery and contribute to capability uplift within the team. - Collaborate with Project Managers on timelines, risks, budgets and stakeholder communication. - Build strong client relationships and provide practical, consultative advice on data solutions. - Ensure data quality, data referential integrity and data governance best practices are upheld across all deliverables. Qualifications - Typically 8–10 years' hands-on experience delivering data solutions, with a strong track record in the Microsoft data stack (MSSQL, SSIS, SSDT, Visual Studio). - Proven capability delivering full end-to-end data migration into Salesforce CRM, including familiarity with Bulk API, sandbox environments and the Salesforce object model. - Advanced ability to design, write and optimise complex SQL queries, views and stored procedures. - Expert-level skills across the data domain, including data migration, ETL, data modelling and pipeline development. - Successfully delivered 5 or more complex data migration projects end-to-end. - Experience migrating data from nonprofit systems such as ThankQ, NPSP, Nonprofit Cloud, Penelope or Carelink. - Must be based in Australia (preferably Melbourne) and have a valid permit to work full-time and long-term. Skills - Strong ETL and data engineering capability, including pipeline development, transformation logic and optimisation. - Accuracy mindset with a strong focus on data quality, integrity and accuracy. - Solid understanding of the full data lifecycle, including ingestion, transformation, data management, orchestration, security and pipeline deployment. - Excellent communication skills, both written and verbal, with strong problem-solving, documentation and stakeholder management capability. - Ability to produce high-quality documentation, including data artefacts, mappings, process maps, architecture diagrams and requirements specifications. - Experience working effectively across both Agile and Waterfall delivery methodologies. - Demonstrated ability to guide and mentor team members, supporting professional growth within project teams. - Passion for the for-purpose sector or prior experience delivering projects within nonprofit organisations.