• Join a high-impact digital transformation initiative • Work on multiple projects focused on improving service delivery, modernizing data platforms, and enabling data-driven decision-making

• Support the development and maintenance of data pipelines for healthcare information • Assist in designing and implementing data integration solutions • Help optimize data storage and retrieval processes • Participate in data quality assurance and validation • Contribute to documentation of data flows and processes • Work with various healthcare data formats and standards • Assist in developing ETL (Extract, Transform, Load) processes • Support data security and privacy compliance efforts • Document and propose process improvements for data management workflows

Title: Data Modeler Location: Pune, India Job Description: About Us Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable, so the people responsible for care and cost decisions can act faster, with confidence. We help health plans break down data silos to create a single, trusted data foundation. That foundation powers better decisions —so plans can improve outcomes, reduce waste, and deliver better experiences for members and providers alike. Backed by $100M from top investors, we’re tackling big challenges in an industry that’s ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data that can support automation, prioritization, and decision workflows—and it’s why we are leading the way. Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. Ready to make an impact? Join us and let's build the future together. About the Role We are looking for a Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual and logical data models. This role requires understanding of healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, ADT, CCDA, etc.) and experience in enterprise data modeling best practices. The Data Modeler will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models support operational and analytical use cases, high performance, and data integrity. This is an exciting opportunity for a data modeler with experience in Databricks, Snowflake, schema evolution, and modern data engineering practices to shape the future of healthcare data platforms. Your day to day Identify and define requirements for canonical data models as well as consumption use cases required by enterprise healthcare customers. Your activities will include: - Perform data profiling analysis. - Use SQL, data modeling and data integrity principles. - Build conceptual and logical data models aligned with enterprise architecture, business requirements and industry standards. - Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning. - Use enterprise data modeling tools (Erwin, ER/Studio, DBT, or similar). - Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases. - Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data lineage and governance. - Partner with Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and related artifacts meet or exceed expectations. - Work with client management teams to provide support and data model expertise during client implementation. What you bring to the team - 2+ years of experience in data modeling, enterprise data architecture, and cloud-based data engineering. - Expertise in enterprise data modeling tools (Erwin, ER/Studio, DBSchema, or similar). - NoSQL data model experience. - Strong hands-on experience with cloud data platforms (Databricks, Snowflake) and data lakehouse architectures. - Deep understanding of healthcare data models across Core Payer (Claims, Membership, Enrollment, Provider, Billing, Premium) and Clinical Interoperability (FHIR, HL7, ADT, CCDA, etc.) domains. - Experience with schema evolution, lossless data modeling, and data versioning strategies. - Strong background in SQL, data profiling, and metadata creation and maintenance. - Ability to learn from senior modelers, enforce modeling best practices, and drive adoption of enterprise data standards. - Excellent collaboration skills to work with data architects, engineers, and client implementation teams. What we would like to see, but not required - Healthcare reporting experience. - Experience with OBT, data lakehouse, and metadata management frameworks. - Familiarity with business intelligence (BI) and reporting solutions on modern cloud data warehouses. - Knowledge of APIs, SDKs, and data distribution frameworks for enabling real-time and batch data access. - Experience with data governance, security, and regulatory compliance in healthcare data management. What you’ll get in return - Competitive Leave & Benefits - Comprehensive health coverage - Equity for every employee – share in our success - Growth-focused environment – your development matters here Work arrangements - Standard hours: 8 hours/day, 5 days/week - Location: Pune, Hybrid (3 days a week in office) - Shift: 12pm-9pm IST Our Commitment as an Equal Opportunity Employer As a mission-led technology company helping to drive better healthcare outcomes, Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas, thoughts, experiences, and perspectives. Therefore, we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding 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. At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process, aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If there’s anything we can do to support that—big or small—please let us know.

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.