This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark’s mission. Reporting to the VP of Product and working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will: - Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners. - Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration. - Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization. - Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark’s mission and scale our value-based care model. - Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions. - Collaborate with engineering and other teams to integrate analytics into production systems. - Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success. - Align data infrastructure to be flexible in organization’s strategic priorities (i.e., pharma data, Fee-for-service, etc.). - Augment analytics processes with AI use cases. Qualifications - 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. - Deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. - Experience working with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements. - Strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results. - Curiosity and innovation in seeking better ways to unlock the value of data. - Driven by a desire to improve the healthcare system and deeply aligned with Daymark’s mission to transform cancer care for patients, families, and providers. Requirements - Experience with modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools. - Ability to thrive in ambiguity and build clarity from complexity. - Hands-on technical ability combined with a systems-thinking mindset to design scalable solutions. Additional Information This role is fully remote but we are ideally looking for someone based in New York, Philadelphia, or Boston to align with our team's current geographic distribution.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description North Stone is seeking a Database & Data Sustainment Engineer to support database operations and data modernization initiatives for enterprise systems. The engineer will manage database environments, optimize performance, and support evolving data requirements across development, test, and production systems. - Manage and maintain Oracle database environments across development, test, and production systems. - Monitor and optimize database performance and availability. - Implement database configuration, patching, and maintenance activities. - Support data modernization and integration efforts. - Develop and maintain database scripts, queries, and stored procedures. - Troubleshoot database performance issues and implement improvements. - Support data migration and data integrity validation activities. - Collaborate with development teams to optimize data structures and queries. - Maintain documentation for database architecture and operational procedures. - Ensure database environments comply with security and access control requirements. Qualifications - Active DoD Secret Clearance. - Ability to obtain and maintain Privileged and SIPR access. - Bachelor’s degree in Computer Science, Data Engineering, or equivalent experience. - 4+ years of experience managing relational databases. - Experience with database performance tuning and optimization. - Experience supporting multiple database environments. - Strong SQL and database troubleshooting skills. Requirements - Experience supporting DoW or USAF Cloud One cloud environments. - Experience with database modernization initiatives. - Experience working within cloud-based database environments. - Database certification (Oracle, SQL Server, or equivalent). Company Description

• Build, optimize, and maintain data pipelines that power our business • Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research • Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies • Protect our users’ privacy and security through best practices

Chainalysis’ Enterprise Data & Analytics team is responsible for generating insights from Chainalysis’ corporate functions and GTM functions. We do this by ingesting, storing and enabling consumption of trusted Account Journey data, metrics and insights across the B2B Enterprise Funnel. We design and implement the critical infrastructure that unifies data across business systems, empowering analytics, operational excellence, and advanced AI initiatives. Our mission is to deliver secure, scalable, and reliable data solutions that enable every part of Chainalysis to thrive in an ever-evolving technology landscape. As a Senior Data Engineer, Enterprise Data Analytics - you work across low-code platforms and custom cloud-native services, leveraging your software engineering background and DevOps experience. This role requires strong problem solving skills, and the ability to partner with key stakeholders and drive strategic collaboration to shape the future of our enterprise data platform. You'll work across low-code platforms and custom cloud-native services. In this role, you’ll: - Design and implement robust, scalable integrations between Databricks and key enterprise business systems (Netsuite, Workday, SalesForce) - Translate business requirements into technical specifications and integration workflows - Develop, and maintain automated data pipelines using a combination of low-code tools and custom AWS solutions (Lambda, Step Functions, S3, CloudWatch, VPCs, IAM) - Own the provisioning and management of infrastructure for integrations by applying Infrastructure as Code principles with Terraform - Mentor engineers and champion best practices in software engineering, source control (Gitflow), and DevOps workflows within Github repositories - Collaborate closely with data scientists, product managers, and stakeholders to ensure integrations deliver transformative business value - Proactively monitor, troubleshoot, and ensure reliability and observability of integration solutions across distributed systems We’re looking for candidates who have: - Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience - Minimum 6+ years of hands-on experience in software engineering - Hands-on expertise with Terraform and modern DevOps practices, including CI/CD and infrastructure lifecycle automation - Proficiency in Python or Node.js - AWS experience: Lambda, Step Functions, S3, CloudWatch, VPCs, IAM. - Hands-on experience with Databricks, Snowflake or similar for data warehousing, modeling, or pipeline optimization. - Experience with modern source control workflows (Gitflow), using Github You might also have: - Hands-on experience with Databricks or Snowflake, especially in data warehousing, modeling, or pipeline optimization. About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here. We can’t wait to meet you.