• Design and operate scalable batch and streaming data pipelines • Own data ingestion, transformation, and serving layers across systems • Build reliable data platforms used by analytics, product, and AI teams • Ensure data quality, freshness, and correctness at scale • Design secure access patterns for sensitive financial data • Implement encryption, access controls, and audit-ready data workflows • Partner with product, risk, compliance, and InfoSec teams • Debug data failures, delays, and inconsistencies in production • Take ownership during data incidents and reliability issues

Be part of a team that unleashes the power of leading-edge technologies to help improve the health and well-being of those most vulnerable in our country and communities. Working at Gainwell carries its rewards. You’ll have an incredible opportunity to grow your career in a company that values work flexibility, learning, and career development. You’ll add to your technical credentials and certifications while enjoying a generous, flexible vacation policy and educational assistance. We also have comprehensive leadership and technical development academies to help build your skills and capabilities. Summary As a Business Data Engineer at Gainwell, you can contribute your skills as we harness the power of technology to help our clients improve the health and well-being of the members they serve — a community’s most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. Here are the details on this position. Are you an engineer with a passion for data? A graph enthusiast? Someone ready to bring lean manufacturing principles into the data world? Or a computer science major excited to see operations through a new lens? We're looking for someone who thrives at the intersection of these two fields. Experience in data/computer science or manufacturing/industrial engineering is preferred. We’d love to meet you! Your role in our mission - Become a healthcare insurance subject matter expert with sufficient technical skills to produce proof-of-concept solutions to various issues within the industry. - Perform data cleaning and analysis using SQL, Python, and AI models. - Analyze big data from diverse sources to identify trends, address gaps, and discover improvement opportunities that align with improving the healthcare system. - Provide subject matter expertise in identifying product uses and designing strategies that address significant business and technical challenges. - Gather and translate business requirements into analytical applications and advanced dashboard visuals, reports, or other alert systems. - Document code using documentation tools and participate in collaborative team code reviews. - Collaborate with various teams within the company to advise on technical solutions. - Stay informed on industry trends, best practices, and innovations, ensuring competitive market relevance of company products. What we're looking for - 2+ years of experience in Data-Focused roles OR 2+ years in Industrial/Manufacturing Engineering. - Experience in a Database Query Language: Oracle, MySQL, SQL Server, DB2. - Experience with any of the following Scripting Languages: Python, R, or JavaScript. Python Preferred. - Experience working with Data Visualization tools such as Tableau or Power BI. - Microsoft Office Products and Access Proficient. What you should expect in this role - Fully Remote Opportunity within the US - Required Travel 0-10% - Video cameras must be used during all interviews, as well as during the initial week of orientation The deadline to submit applications for this posting is April 30, 2026 The pay range for this position is $72,800.00 - $104,000.00 per year, however, the base pay offered may vary depending on geographic region, internal equity, job-related knowledge, skills, and experience among other factors. Put your passion to work at Gainwell. You’ll have the opportunity to grow your career in a company that values work flexibility, learning, and career development. All salaried, full-time candidates are eligible for our generous, flexible vacation policy, a 401(k) employer match, comprehensive health benefits, and educational assistance. We also have a variety of leadership and technical development academies to help build your skills and capabilities. We believe nothing is impossible when you bring together people who care deeply about making healthcare work better for everyone. Build your career with Gainwell, an industry leader. You’ll be joining a company where collaboration, innovation, and inclusion fuel our growth. Learn more about Gainwell at our company website and visit our Careers site for all available job role openings. Gainwell Technologies is committed to a diverse, equitable, and inclusive workplace. We are proud to be an Equal Opportunity Employer, where all qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical condition), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We celebrate diversity and are dedicated to creating an inclusive environment for all employees.

• Performs data engineering and data analysis to create, store, locate , retrieve, analyze, manage, and share documentation/artifacts. • Leads and develops data products within the system/software development life cycle from requirements definition, to architecture, design, implementation, and testing, through deployment and operations, and support. • Defines and develops techniques to integrate, consolidate , and structure data for analytical use, including the ability to inform on data aggregation and associated security implications, and the ability to leverage logical data models to support data source mappings. • Identifies data migration strategies to transition data from legacy systems and technologies to advanced, enterprise-based solutions. • Performs assessments relative to data architecture, design, and implementation, and identifies system impacts associated with new requirements, and requirements changes. • Works in collaboration with developers, data scientists, and other engineers to facilitate data movement and security both on-prem and in the cloud. • Contributes to technical collaboration with internal and external stakeholders.

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.