Source Job

• Design and deliver data access patterns and ingestion workflows.
• Work with technical roles and domain experts to turn AI use cases into production-ready capabilities.
• Build lightweight ingestion or sync pipelines to bring priority datasets from various source systems into platforms that enable AI use.

RWS is building the next generation of AI-enabled capabilities across our products, internal production systems, and enterprise platforms.

• Design and deliver complex software solutions across hybrid environments.
• Manage data needs for the Pharmacy Application and drive related data science projects.
• Provide solutions for data requirements for a high-volume transaction processing platform, ML model development, and software application interfaces.

Cotiviti provides data-driven solutions that help healthcare organizations, retailers, and payers improve financial performance and operational efficiency.

• Design and implement scalable data pipelines and data warehouses.
• Lead the development and deployment of advanced analytics models.
• Translate data insights into actionable business strategies.

XO Health is the first health plan designed by and for self-insured employers that delivers a more unified health experience for everyone.

• Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
• Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
• Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.

At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.

• Design and build scalable backend systems for clinical trial recruitment platform.
• Drive technical decisions and set technical direction for areas of ownership.
• Maintain healthcare compliance standards (HIPAA) and implement security best practices across systems.

Trial Library is a mission-driven health technology company dedicated to improving health equity in cancer care by expanding access to precision medicine.

• Architect and evolve our data platform using Snowflake and dbt.
• Design and implement batch and streaming pipelines in AWS.
• Define and enforce data governance, security, and privacy policies.

BlueMatrix and Street Context develop web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art.

• Lead end-to-end data science and ML engagements on Microsoft Azure, Microsoft Fabric, and Databricks to solve manufacturing, supply chain, and operations use cases for clients.
• Design and implement advanced analytics solutions using Azure Machine Learning, Azure OpenAI, Databricks (PySpark/MLflow), and Power BI, ensuring they are secure, scalable, and aligned to delivery standards.
• Build modern retrieval and RAG patterns on Azure to expose knowledge from SOPs, service histories, maintenance logs, and data sources commonly associated with manufacturing, supply chain, and logistics.

MCA Connect helps manufacturers succeed by unlocking innovation with actionable business insights through strategic solutions, innovation, and industry intelligence. Established in 2002, MCA Connect has grown into one of the largest US-based solution partners in Microsoft Business Applications and Azure Data & AI / Digital & App Innovation and is a three-time Inc. Best Workplaces award winner.

• Design and own scalable, secure data architectures and pipelines across our platforms.
• Collaborate closely with data engineers, analysts, MLOps Lead, AI and Data Architects, and business stakeholders, to align architecture with business needs.
• Define and maintain data models, governance frameworks, reference architectures, guidelines, best practices and operating principles for our data and analytics platforms.

Redcare Pharmacy is Europe’s No.1 e-pharmacy, powered by passionate teams and cutting-edge innovation. They strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to their vision “Until every human has their health”.

Lead AI and ML initiatives to design and implement production-grade machine learning systems and pipelines. Develop scalable infrastructure for model training, evaluation, and deployment, ensuring reliability and observability. Collaborate with cross-functional teams to drive innovation and efficiency.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

• Design, build, and maintain cloud-native data infrastructure using Terraform for IaC.
• Develop and optimize data pipelines leveraging AWS services and Snowflake.
• Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.

ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.

• Design, train, and operate ML systems that power the Tebra platform.
• Own the entire lifecycle from data exploration and model development to deployment.
• Push the boundaries of applied ML in healthcare, transforming messy real-world data into reliable automation.

Kareo and PatientPop have joined forces to become Tebra, the digital backbone for practice well-being, helping independent practices bring modernized care to patients.

• Implement AI governance policies in collaboration with NBCU Legal, Privacy, and Cyber teams.
• Build monitoring and reporting frameworks for AI models and tools, emphasizing cost, tagging, and AI FinOps principles.
• Develop and manage ML/AI Ops pipelines including CI/CD for models using GitHub Actions or Jenkins, ensuring automation in model deployment and version control.

NBCUniversal is one of the world's leading media and entertainment companies creating world-class content distributed across film, television, and streaming. It owns leading entertainment and news brands and has renowned theme parks. Comcast NBCUniversal intends to create a new publicly traded company.

Design, develop, and manage modern, scalable data solutions across federal and commercial environments. Build robust data pipelines, integrate data across multiple sources, and ensure high-quality, reliable data for analytics and operational use. Collaborate with cross-functional teams including Architects, Data Scientists, and DevOps engineers to deliver secure and efficient data solutions.

This position is posted by Jobgether on behalf of a partner company and uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly.

Play a key role in ensuring the stability, scalability, and efficiency of data platforms and pipelines. Work at the intersection of data engineering, database administration, and technical operations, supporting critical analytics workflows. Monitor, troubleshoot, and optimize databases and data warehouses, while implementing automation and orchestration solutions using Python.

This position is posted by Jobgether on behalf of a partner company, and they use an AI-powered matching process to ensure your application is reviewed quickly.

• Architect and implement scalable Lakehouse solutions using Delta Tables and Delta Live Tables.
• Design and orchestrate complex data workflows using Databricks Workflows and Jobs.
• Develop production-grade Python and PySpark code, including custom Python libraries.

Coderio designs and delivers scalable digital solutions for global businesses with a strong technical foundation and a product mindset.

Serve as the “last-mile translator” between advanced data systems and the decision-makers who rely on them. Turn raw data pipelines, evaluation outputs, causal inference models, and ML predictions into trusted, actionable insights for federal and state partners. Set the standards, build the templates, and create the reusable metrics that power insights organization-wide.

Altarum is a nonprofit organization focused on improving the health of individuals with fewer financial resources and populations disenfranchised by the health care system.

• Lead the design, development, and deployment of enterprise-scale data and AI solutions.
• Architect, implement, and optimize large language models and agentic AI workflows for business automation and decision support.
• Leverage AWS and Snowflake to build scalable, secure, and efficient data pipelines for structured and unstructured data.

U.S. FinTech built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

Build end-to-end data solutions that include ingest, logging, validation, cleaning, transformation, and security. Lead the design, development, and delivery of scalable data pipelines and ETL processes. Design and evolve robust data models and storage patterns that support analytics and efficiency use-cases.

Founded in 1997, Expression provides data fusion, data analytics, AI/ML, software engineering, information technology, and electromagnetic spectrum management solutions.

• Design, develop, and maintain reliable, scalable ETL/ELT pipelines across ingestion, transformation, storage, and consumption layers.
• Build and manage data models and transformations using dbt with strong testing and documentation practices.
• Contribute to architectural decisions, technology selection, and data engineering standards.

Vitable is a health benefits platform making healthcare better for employers of everyday workers.

• Build and ship features for North, our AI workspace platform.
• Develop autonomous agents that talk to sensitive enterprise data.
• Lead end-to-end deployment of North in private cloud and on-premises environments.

Cohere's mission is to scale intelligence to serve humanity by training and deploying frontier models for developers and enterprises.