Data Engineer jobs at Blue Cross Blue Shield of Michigan - 170 jobs

Ready to help us transform healthcare? Bring your true colors to blue. What We Need The Sr. Informatica MDM Data Engineer is a senior staff member of Data Solutions Delivery team. This role will lead the digital transformation of operational and foundational Master Data Management roadmaps to build and support the MDM platform developing and maintaining the master data management system, including data integration, data modeling and data migration. It will also lead to designing and implementing the overall MDM architecture and interfaces, including critical data integration, data modeling, and data migration for both customer data and enterprise data. We are looking for an experienced Master Data Management (MDM) Platform Engineer who will be responsible for the end-to-end management of our Master Data Management platform, leveraging Reltio software. In this role the candidate will work closely with cross-functional teams to understand the data requirements in the Payer space, and ensure the platform is configured to meet business objectives. This role will work in close collaboration with the Data Architect to craft and deploy scalable MDM solutions. Day-to-Day Designs and develops data ingestion and transformation pipelines in order to publish data for consumption Follows best practices and architecture patterns as part of all implementations Builds deep understanding of healthcare data domains thru process ownership, data exploration and hands-on SQL development Builds deep understanding of healthcare data domains thru process ownership, data exploration and hands-on SQL development Designs & develops data quality, data masking, data curation & extraction processes for appropriate data usage Provides operational support to high severity issues and incidents impacting critical data pipelines Ideates & builds common data processing utilities leveraging modular development methodologies Delivers high quality and scalable code with automated test coverage Helps grow and mentors team members on the fine art of data engineering and software abstractions Design, implement and maintain our MDM solution. Configure data models, workflows, and integration services within the Reltio platform. Define and implement data governance policies, standards, and procedures to ensure data quality. Ensure seamless data synchronization and consolidation across disparate systems. Implement data quality processes and tools within Reltio to identify and resolve data inconsistencies, duplicates and errors. Monitor data quality metrics and KPIs to ensure data quality improvement. Collaboration and Stakeholder Management - collaborate with business stakeholders, data stewards, and technical teams to gather requirements, define data governance policies and resolve data related issues. Facilitate workshops and meetings to align MDM initiatives with business objectives. Implement performance tuning techniques and scalability enhancements as needed. Document Reltio platform configurations, data models, integration processes, and governance policies. Provide training and support to end users, data stewards, and Digital staff on Reltio best practices and procedures. Offer on-demand technical assistance to end users as needed. What We're Looking For Minimum of 5+ years of demonstrated experience implementing data management platforms for MDM, such as Reltio 4+ years of experience with SQL or NoSQL databases like Postgres, Oracle, MongoDB Minimum of 5+ years' experience working with data architecture and data engineering. Possess deep understanding of reference data. At least 3+ years with integrating data management systems, including mastering solutions, with different data vendor feeds. Possess a demonstrated track record in large-scale data modeling and the implementation of efficient ETL/ELT strategies. Experience with data warehousing solutions and a strong understanding of their architecture. Experience with Data Quality Functional, Data Integration, Reltio Data Quality Module, Reltio Reference Data Management (RDM). Possess extensive experience in data quality functional, ensuring high standards of data accuracy. Have a strong background in data integration, enabling seamless integration of various data sources. Demonstrate expertise in Reltio Data Quality Module to enhance data quality processes. Exhibit strong knowledge of Reltio MDM solutions for effective master data management. Have a solid understanding of MDM functional and MDM architecture principles. Demonstrate strong analytical and problem-solving skills to address data-related issues. Have excellent communication and collaboration skills to work effectively with cross-functional teams. Show a commitment to continuous learning and staying updated with industry trends. Possess the ability to train and mentor team members on best practices. Exhibit strong organizational skills to manage multiple projects and priorities. Have a proactive approach to identifying and addressing data quality issues. Education Bachelors degree or higher in Computer Science or related field. #LI-Hybrid Minimum Education Requirements: High school degree or equivalent required unless otherwise noted above LocationBostonTime TypeFull time Salary Range: $136,393.40 - $166,870.00 The job posting range is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs and affordability. This job is also eligible for variable pay. We offer comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), and a suite of well-being benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. WHY Blue Cross Blue Shield of MA? We understand that the confidence gap and imposter syndrome can prevent amazing candidates coming our way, so please don't hesitate to apply. We'd love to hear from you. You might be just what we need for this role or possibly another one at Blue Cross Blue Shield of MA. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be brilliant. We encourage you to bring us your true colors, , your perspectives, and your experiences. It's in our differences that we will remain relentless in our pursuit to transform healthcare for ALL. As an employer, we are committed to investing in your development and providing the necessary resources to enable your success. Learn how we are dedicated to creating an inclusive and rewarding workplace that promotes excellence and provides opportunities for employees to forge their unique career path by visiting our Company Culture page. If this sounds like something you'd like to be a part of, we'd love to hear from you. You can also join our Talent Community to stay “in the know” on all things Blue. At Blue Cross Blue Shield of Massachusetts, we believe in wellness and that work/life balance is a key part of associate wellbeing. For more information on how we work and support that work/life balance visit our "How We Work" Page.

THEY SHOULD MEET THE TOP 3 MUST HAVE SKILL SETS Title - Oracle Orbit Analytics and Data Modelling ConsultantClient - Fujitsu Job - Remote but 10% travel is required to Work Location - Cleveland , OH (hybrid) Top 3 skills required are1. Should have expertise in building Complex physical and logical data models including good knowledge of data modeling concepts. Must have a very good understanding of normal, complex, and circular joins. 2. Very good understanding of Object and data level securities, and roles and responsibilities.3. Should have strong hold building complex Orbit reports using calculation measures and report insights. Responsibilities: Develop a comprehensive migration plan from Oracle Discoverer to Orbit Analytics. Conduct a detailed analysis of current Oracle Discoverer reports and dashboards. Design and implement solutions to migrate reports, dashboards, and data models to Orbit Analytics. Development includes understanding of requirements, use of existing data models or working with a data modeler, build of report, technical unit testing, and quality assurance testing before being moved to the UAT environment for CRP and UAT testing. Provide technical leadership and guidance throughout the migration process. Ensure data integrity, accuracy, and consistency during the migration. Optimize the performance of the new Orbit Analytics environment. Utilize in-depth knowledge of Oracle R12 ERP and Oracle Fusion Cloud table structures in the migration process. Ensure seamless integration of data from Oracle R12 ERP and Oracle Fusion Cloud into Orbit Analytics. Collaborate with ERP and cloud teams to understand and address data requirements and challenges. Collaborate with business users to understand their reporting needs and ensure they are met post-migration. Conduct training sessions and create documentation to support end-users in the transition to Orbit Analytics. Communicate progress, challenges, and solutions to stakeholders. Develop and execute test plans to ensure all migrated reports and dashboards function as expected. Identify and resolve any issues that arise during the migration process. Conduct post-migration reviews to ensure all objectives are met. Stay up-to-date with the latest features and best practices in Orbit Analytics. Identify opportunities for further optimization and enhancement of the Orbit Analytics environment. Provide ongoing support and maintenance post-migration. Qualifications :- Bachelor's degree in Computer Science, Information Technology, or a related field. Masters degree preferred. -Proven experience in Oracle Discoverer and Orbit Analytics. -Extensive experience with Oracle R12 ERP and Oracle Fusion Cloud. - At least 5 years of experience in business intelligence and data analytics. -Demonstrated experience in leading migration projects. Technical Skills: - Strong knowledge of SQL, PL/SQL, and database management. -Proficiency in Orbit Analytics, Oracle Discoverer, Oracle R12 ERP, and Oracle Fusion Cloud. -Familiarity with ETL processes and data warehousing concepts. - Experience with data visualization tools and techniques. Soft Skills: -Excellent problem-solving and analytical skills. - Strong communication and interpersonal skills.- Ability to work independently and as part of a team. -Project management skills with the ability to manage multiple priorities. Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

The Data Scientist will lead the development of datasets for data-driven visualizations and performance metrics to support public health decision-making within the Hawaii Department of Health (HDOH) as part of the Hawaii Data & Analytics Modernization Project. This role is embedded in the Workforce Acceleration Initiative (WAI), a federally funded CDC Foundation program aimed at enhancing public health agencies' technology and data systems. The Data Scientist will focus on making datasets accessible and designing and implementing PowerBI dashboards for over 40 HDOH programs. This comprises importing datasets to the DOH Enterprise Data Warehouse (EDW) in Azure, developing robust Extract, Transform, Load (ETL) processes, and delivering a Train-the-Trainer program to build staff capacity for data pipelines and dashboards maintenance. The role requires close collaboration with HDOH program staff, Subject Matter Experts (SMEs), and the Health Data & Informatics Office (HDIO) staff PowerBI and IT teams. The role ensures data is made accessible and dashboards are developed to align with Public Health Accreditation Board (PHAB) standards, Continuous Quality Improvement (CQI) initiatives, and HDOH program goals. The Data Scientist will integrate stakeholder engagement to address diverse programmatic needs and support the synthesis of a core data model within the data warehouse across HDOH programs. This position is eligible for a fully remote work arrangement for U.S.-based candidates, hired through the CDC Foundation, and assigned to HDOH's Health Data & Informatics Office. Responsibilities · Data Management and ETL Process Development: o Assess, plan, and develop data pipelines from multiple operational systems for ingest into a common HDOH data warehouse, with appropriate governance controls, for use in analysis and reporting projects. o Assess and manage ETL processes to support data visualization for over 40 HDOH programs, ensuring reliable data integration and quality from source systems to the HDOH data warehouse, for PowerBI dashboards. o Collaborate with HDIO's PowerBI and IT teams to design and implement ETL workflows, integrating disparate data sources into a unified core data model. o Develop and maintain standardized data collection, quality, and processing protocols to ensure data accuracy, consistency, and timeliness. o Produce updated weekly progress reports on ETL and data management activities, accessible to all relevant stakeholders, to ensure transparency and alignment. · PowerBI Dashboard Development: o Lead the design, development, and deployment of interactive PowerBI dashboards for over 40 HDOH programs, visualizing previously identified KPIs and performance metrics, alongside HDOH technical staff. o Ensure dashboards are user-friendly, with drill-down capabilities, and aligned with PHAB accreditation readiness, CQI initiatives, and HDOH program goals. o Conduct iterative design reviews and usability testing with HDOH staff to refine dashboard functionality and address program-specific needs. o Produce weekly progress reports on dashboard development, accessible to all relevant stakeholders, to document milestones and incorporate feedback. · Train-the-Trainer Program Development: o Develop and deliver a Train-the-Trainer program to equip HDOH staff with skills to create, maintain, and update data pipelines and PowerBI dashboards, including ETL details for troubleshooting. o Design modular, flexible training sessions with recorded materials and user-friendly guides to accommodate varying schedules and skill levels. o Provide ongoing support through a helpdesk or peer mentoring system to reinforce learning and ensure long-term sustainability. o Produce updated weekly progress reports on training efforts, accessible to all relevant stakeholders, to monitor adoption and impact. · Project Coordination and Stakeholder Collaboration: o Oversee coordination and execution of dashboard development, metrics refinement, and training, ensuring integration with interrelated projects (data governance, EDSS modernization, core data model synthesis). o Lead regular project meetings with HDOH staff, SMEs, and HDIO's PowerBI and IT teams to review progress, address issues, and ensure PHAB alignment. o Use project management tools to track ETL, dashboard, and training milestones, allocating resources to meet timelines and stakeholder expectations. o Produce updated weekly progress reports on project coordination, accessible to all relevant stakeholders, to maintain clear communication and accountability. · Risk Management and Communication: o Identify and mitigate risks in ETL processes, dashboard usability, and training adoption, collaborating with HDIO teams to ensure data accuracy and stakeholder satisfaction. o Develop stakeholder communication materials (reports, presentations) using data visualization tools to share progress, ETL performance, and dashboard insights with clarity. Qualifications · Education: o Bachelor's degree in Information Systems, Data Science, Public Health, Computer Science, or a related field. Master's degree in a similar field preferred but not required. · Experience: o 7-10 years of experience in data management, ETL development or maintenance, business intelligence, or public health informatics, ideally with a focus on healthcare or public health IT systems. o Demonstrated expertise in designing and implementing ETL processes and data management frameworks for data integration and quality assurance. o Significant experience developing and deploying PowerBI dashboards for performance tracking and visualization in complex organizational settings. o Experience working with public health agencies or healthcare systems, particularly in data systems, performance metrics, and stakeholder engagement, is highly desirable. · Technical Skills: o Demonstrated proficiency in developing and maintaining ETL processes, database design, and data quality assurance, with experience integrating disparate data sources into a common data warehouse and associated common data model. o Proficiency with data quality tools and data catalogs, for developing and maintaining consistent data resources or data products for an organization. o Proficiency in PowerBI for dashboard design, data modeling, and DAX (Data Analysis Expressions) for advanced analytics. o Familiarity with SQL for querying and managing relational databases. o Experience with project management tools for tracking milestones and resource allocation. · Public Health and Evaluation Knowledge: o Understanding of public health workflows, data collection methods, data quality methods, and evaluation methodologies for performance metrics. o Familiarity with PHAB standards, CQI initiatives, and national/international public health metrics frameworks is desired. o Experience implementing training programs for technical tools (e.g., PowerBI, ETL processes) in public health settings. · Communication and Collaboration: o Exceptional interpersonal and communication skills to facilitate collaboration with diverse stakeholders, including public health professionals, technical teams, and leadership, while demonstrating cultural sensitivity and respect for Hawaii's unique cultural context. o Ability to adapt communication styles and approaches to align with HDOH values, fostering trust and effective partnerships with HDOH staff and community stakeholders. o Proven ability to bridge technical and business requirements, ensuring alignment between data solutions and organizational goals, while being mindful of cultural nuances and organizational priorities. o Experience managing stakeholders and leading cross-functional teams in fast-paced environments, with a focus on building inclusive and culturally responsive collaborations. · Project Management: o Strong project management skills, including planning, creating work breakdown structures, and tracking milestones. o Ability to manage multiple priorities, meet deadlines, and solve complex problems with minimal supervision. o Experience with organizational change management, preferably using models like ADKAR. Job Highlights · Location: Remote, must be based in the United States. The individual must align their work hours with Hawaii Standard Time (HST) to ensure effective collaboration and communication with HDOH teams and stakeholders. Resources based in the Western US time zones preferred. · Salary Range: $92,700-$134,275 per year, plus benefits. Individual salary offers will be based on experience and qualifications. · Position Type: Grant-funded, limited-term opportunity. · Position End Date: June 30, 2026. Special Notes This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans. The CDC Foundation is a smoke-free environment. Relocation expenses are not included. About the CDC Foundation The CDC Foundation helps CDC save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC's critical health protection mission. The CDC Foundation manages hundreds of programs each year impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. Visit ********************* for more information.

Job Description Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow. With programs like Future of Medicine , which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers , which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all. To learn more about Care Access, visit ******************* How This Role Makes a Difference We are seeking an experienced and detail-oriented professional to join our team as a Sr. Data Engineer. In this pivotal role, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices, along with strong collaboration skills to help drive excellence across our data infrastructure. How You'll Make An Impact Data Engineering Strategy and Architecture: Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs. Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows. Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools. Data Infrastructure and Performance Optimization: Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks). Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness. Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance. Collaboration and Stakeholder Engagement: Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions. Review and refine work completed by other team members, ensuring quality and performance standards are met. Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity Technology and Tools: Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions. Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms. Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations. Other Responsibilities: Continuous Improvement: Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance. The Expertise Required Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure. Experience working with structured and semi-structured data from diverse domains. Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices. Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions. Certifications/Licenses, Education, and Experience: Bachelor's or master's degree in computer science, Information Systems, Engineering, or a related field. 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines. How We Work Together This role requires 100% of work to be performed in a remote office environment and requires the ability to use keyboards and other computer equipment. This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role. The expected salary range for this role is $120,000-$160,000 USD per year. In addition to base pay, employees may be eligible for 401k, stock options, health and wellness benefits and paid time off. Diversity & Inclusion We work with and serve people from diverse cultures and communities around the world. We are stronger and better when we build a team representing the communities we support. We maintain an inclusive culture where people from a broad range of backgrounds feel valued and respected as they contribute to our mission. We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to, and will not be discriminated against on the basis of, race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. Care Access is unable to sponsor work visas at this time. If you need an accommodation to apply for a role with Care Access, please reach out to: ********************************

The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining modern data infrastructure for the Northwest Portland Area Indian Health Board (NPAIHB) Data Hub project. Working closely with the Data Hub Team, the Data Engineer will support the architecture needed for data storage, processing, analysis, and secure transfer to Tribal Leaders and public health professionals. The Data Engineer will collaborate with epidemiologists, data content experts, IT staff, the Data Hub Project Director, and others to develop and implement scalable solutions that align with the objectives of the NPAIHB's Data Hub project. NPAIHB's Data Hub Team is currently developing a system, “The NW Tribal Data Hub,” to provide comprehensive, user-friendly public health data dashboards for its 43 member Tribes. The Data Engineer will ensure the successful design and implementation of a newly created public health database, the ingestion of additional data into the system, and create tables, views, and other database structures to support epidemiological analysis, visualization, and reporting to Tribes. The data, sourced primarily from state and federal agencies, include vital statistics (births, deaths), cancer registries, emergency department, clinical service data, and others. The Data Engineer's work will be pivotal in enhancing the capacity of Tribal public health departments to conduct data-driven activities, advancing Tribal data sovereignty, and empowering Tribes to improve health outcomes within their communities. The Data Engineer will be hired by the CDC Foundation and assigned to the Data Hub Team at NPAIHB. This position is eligible for a fully remote work arrangement for U.S. based candidates. NPAIHB is a tribally owned and operated non-profit organization serving the 43 federally recognized Tribes in the states of Idaho, Oregon, and Washington. Led by a Board of Directors, NPAIHB's mission is to “eliminate health disparities and improve the quality of life of American Indians and Alaska Natives by supporting Northwest Tribes in their delivery of culturally appropriate, high-quality health programs and services.” NPAIHB is a mission-driven organization with a staff of over 120 professionals dedicated to advancing Tribal health for the 7th generation in the Pacific Northwest. Responsibilities Create new and enhance existing systems and pipelines that enable efficient, reliable, and secure flow of data, including ingestion, processing, and storage. Load data into storage systems or data warehouses, transforming, cleaning, and organizing with dimensional modeling techniques to ensure accuracy, consistency, and efficient querying. Transform and structure data to ensure it is optimized for use in data visualization software, enabling accurate and effective visual representations of epidemiological data. Ensure thorough and clear documentation of database architecture and workflows to promote sustainability, consistency, and ease of maintenance. Apply rigorous data quality checks and validation processes to guarantee the accuracy and reliability of the data released, emphasizing the importance of delivering correct and trustworthy data to support public health initiatives. Optimize data pipelines, infrastructure, and workflows for performance and scalability. Monitor data pipelines and systems for performance issues, errors, and anomalies, and implement solutions to address them. Implement security measures to protect sensitive information. Collaborate with epidemiologists, analysts, and other partners to understand current and future data needs and requirements, and to ensure that the data infrastructure supports the organization's goals and objectives. Collaborate with cross-functional teams to understand data requirements and design scalable solutions that meet business needs. Implement and maintain ETL processes to ensure the accuracy, completeness, and consistency of data. Design and manage data storage systems, including a PostgreSQL relational database Apply knowledge about industry trends, best practices, and emerging technologies in data engineering, and incorporate the trends into the organization's data infrastructure. Provide technical guidance to other staff on preparing and structuring data for visualization, leveraging knowledge of visualization tools to support the creation of meaningful and insightful visual outputs. Communicate effectively with partners at all levels of the organization to gather requirements, provide updates, and present findings. Qualifications Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. Minimum of five (5) years of related informatics experience, preferably with three (3) years of experience in a lead data engineer position. Demonstrated expertise in building SQL relational databases and transitioning non-relational data into a structured relational format, ensuring seamless integration and optimized performance. Proficiency in SQL programming and other languages commonly used in data engineering, such as Python, PySpark, Java, Scala. Candidate should be able to implement data automations within existing frameworks as opposed to writing one off scripts. Experience transforming and preparing data into formats suitable for data visualization software, ensuring it is structured for optimal use in dashboards and other visual outputs. Strong understanding of database systems, including relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra), with PostgreSQL preferred. Experience regarding engineering best practices such as source control, automated testing, continuous integration and deployment, and peer review, and serving as a subject matter expert on these topics. Knowledge of data warehousing concepts and tools. Experience with cloud computing platforms, with preference for experience in AWS environment. Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data integration techniques. Familiarity with agile development methodologies, software design patterns, and best practices. Strong analytical thinking and problem-solving abilities. Excellent verbal and written communication skills, including the ability to convey technical concepts to non-technical partners effectively. Flexibility to adapt to evolving project requirements and priorities. Outstanding interpersonal and teamwork skills; and the ability to develop productive working relationships with colleagues and partners. Experience working in a virtual environment with remote partners and teams. Proficiency in Microsoft Office. Ability to travel occasionally for in-person meetings (travel costs will be covered by NPAIHB). Preferred Qualifications Experience gathering requirements and designing and planning data models based on those requirements. Experience creating complex fields and visuals in AWS QuickSight or similar data visualization tools (Tableau, Microsoft Power BI, etc). Experience building data pipelines within Amazon Web Services (AWS), such as AWS Relational Database Services (RDS), Amazon Aurora Serverless, AWS Glue, Lambda Experience working with complex public health, health care, or other non-business data requiring advanced processing and analysis techniques. Experience transitioning SAS datasets and analyses into relational database structures. Experience with dimensional modeling in scenarios where dimensions and fields change over time. Experience with implementing data suppression techniques and familiarity with HIPAA, PHI, and other data confidentiality regulations. Job Highlights Location: Remote, must be based in the United States Salary Range: $103,500-143,500, plus benefits. Individual salary offers will be based on experience and qualifications unique to each candidate. Position Type: Grant funded, limited-term opportunity Position End Date: June 30, 2026 Special Notes This role is involved in a dynamic public health program. As such, roles and responsibilities are subject to change as situations evolve. Roles and responsibilities listed above may be expanded upon or updated to match priorities and needs, once written approval is received by the CDC Foundation in order to best support the public health programming. The CDC Foundation is a smoke-free environment. Relocation expenses are not included. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, national origin, age, mental or physical disabilities, veteran status, and all other characteristics protected by law. We comply with all applicable laws including E.O. 11246 and the Vietnam Era Readjustment Assistance Act of 1974 governing employment practices and do not discriminate on the basis of any unlawful criteria in accordance with 41 C.F.R. §§ 60-300.5(a)(12) and 60-741.5(a)(7). As a federal government contractor, we take affirmative action on behalf of protected veterans. About the CDC Foundation The CDC Foundation helps CDC save and improve lives by unleashing the power of collaboration between CDC, philanthropies, corporations, organizations and individuals to protect the health, safety and security of America and the world. The CDC Foundation is the go-to nonprofit authorized by Congress to mobilize philanthropic partners and private-sector resources to support CDC's critical health protection mission. The CDC Foundation manages hundreds of programs each year impacting a variety of health threats from chronic disease conditions including cardiovascular disease and cancer, to infectious diseases like rotavirus and HIV, to emergency responses, including COVID-19 and Ebola. Visit ********************* for more information.

At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience. As a Senior Data Engineer you will be responsible for enabling efficient and effective data ingestion & delivery systems. Our team collaborates with data producers (application teams) and data consumers/stakeholders (Data Science, Product, Analytics & Reporting teams) to ensure the availability, quality, and accessibility of data through robust pipelines and storage platforms. You will: Explore, analyze, and onboard data sets from data producers to ensure they are ready for processing and consumption. Develop and maintain scalable and efficient data pipelines for data collection, processing (quality checks, de-duplication, etc.), and integration into Data lake and Data warehouse systems. Optimize and monitor data pipeline performance to ensure minimal downtime. Implement data quality control mechanisms to maintain data set integrity. Collaborate with stakeholders for seamless data flow and address issues or needs for improvement. Manage the deployment and automation of pipelines and infrastructure using Terraform, Flyte, and Kubernetes. Support strategic data analysis and operational tasks as needed. Lead end-to-end data pipeline development - from initial data discovery and ingestion to transformation, modeling, and delivery into production-grade data platforms. Integrate and manage data from 3+ distinct sources, designing efficient, reusable frameworks for multi-source data processing and harmonization. What We're Looking For: Demonstrated ability to navigate ambiguous data challenges, ask the right questions, and design effective, scalable solutions. Proficient in designing, building, and maintaining large-scale, reliable data pipeline systems. Competence in designing and handling large-scale data pipeline systems. Advanced SQL skills for querying and processing data. Proficiency in Python, with experience in Spark for data processing. 3+ years of experience in data engineering, including data modeling and ETL pipelines. Familiarity with cloud-based tools and infrastructure management using Terraform and Kubernetes is a plus. Bonus: Experience working with healthcare and clinical data sets Experience with orchestration tools like Flyte Pay Range: $136,000 - $190,400 Other compensation: Bonus Eligible Perks & Benefits: 💻 Hybrid work ✈️ Travel expected 2-3 times per year for company-sponsored events 🩺 Medical, dental, vision, life, and disability insurance 📈 401K retirement plan; flexible spending and health savings account 🏝️ 15 days of paid time off + additional front-loaded personal days 🏖️ 14 company-recognized holidays + paid volunteer days 👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave 🌈 LGBTQ+ Health Services 🐶 Pet insurance 📣 Check out more of our benefits here: ******************************************* MCG Health is a Seattle, Washington-based company and is considering remote/hybrid candidates with some travel for company-sponsored events. The ideal candidate should be comfortable balancing the independence of remote/hybrid work with the collaborative opportunities offered by periodic in-person engagements. We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it. All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.

WHO WE ARE ActBlue is a nonprofit organization dedicated to creating cutting-edge technology that fuels Democratic victories and enables progressive causes to thrive. Our vision is simple: building change through the power of people. Since our founding, we've been building innovative solutions to revolutionize grassroots fundraising - if you've donated to a Democratic campaign or a progressive organization online, you've probably used our platform! We believe in putting power in the hands of small-dollar donors by helping thousands of groups - from local candidates to national movements - mobilize their communities and create a lasting impact. Every member of our team is deeply committed to advancing our shared mission and core values. Together, we are shaping the future of democracy. THE OPPORTUNITY We're looking for a Senior Data Engineer II to join ActBlue's Data Department and contribute to building and evolving the data products that power our platform. As part of the Data Product Team, you'll help integrate our internal data platform with user-facing applications and infrastructure. You'll work across the data lifecycle-from ingestion and modeling to deploying machine learning pipelines-focused on unlocking insights, personalization, and automation that support political campaigns, organizations, and donors. This is a hands-on role for someone who thrives in a collaborative environment and brings deep Python engineering expertise along with a pragmatic, product-minded approach to data systems. WHAT YOU WILL DO Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data access and insight across product teams, engineering, and entities. Develop reusable data services and frameworks that support high-quality data ingestion, transformation, and ML model deployment - accelerating analytics and experimentation across the organization. Collaborate with data scientists and ML engineers to productionize machine learning workflows using SageMaker, Vertex AI, or other MLOps tools Implement monitoring, testing, and CI/CD automation for data pipelines and ML services Own and evolve real-time and batch data integrations between ActBlue's core systems and user-facing applications - influencing design decisions and architecture across multiple teams including Product, Engineering, and Analytics. Develop, optimize and support reverse ETL workflows using tools like Hightouch Participate in code reviews, mentor junior engineers, and help foster a high-trust engineering culture. Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear and audience-oriented communication. WHAT YOU BRING 5+ years of relevant professional experience in data engineering or backend development with a strong focus on Python. Expertise in writing clean, modular, tested, and production-ready Python code. Strong understanding of data architecture, distributed systems, and security best practices. Experience deploying and supporting production ML workflows (e.g., SageMaker, Vertex AI, or equivalent). Familiarity with ETL tools such as Fivetran and data modeling frameworks like DBT. Solid command of SQL and experience working with large analytical databases (e.g., Redshift, PostgreSQL). Experience with monitoring and observability using Datadog or similar tools. A team player mentality. You keep the end user in mind and enjoy hearing feedback from your teammates, yet know when and how to defend your own ideas in a respectful manner. Commitment to ActBlue's mission and values, including equity, accessibility, and civic engagement BONUS POINTS Experience with ML platforms like SageMaker, Vertex AI, TensorFlow, or Modelbi. Experience with real-time data systems or streaming platforms. Experience contributing to internal platforms or tooling used across engineering teams. Experience implementing robust testing frameworks for data workflows (e.g., Pytest, dbt tests) WORK & BENEFITS SNAPSHOT This posting is for a full-time, remote, salaried position. Travel may be required on a limited basis to attend all-staff and departmental retreats (1-2 times per year). Additional travel may be required for select positions. Registered States*: Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Maryland, Massachusetts, Michigan, Minnesota, Missouri, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, and Washington D.C. *While ActBlue is currently registered to support remote work in the states listed above, we possess the ability to register in additional states as needed. If you are located in a state not listed, we may still be able to proceed with your application, but please note that the offer process may take longer to accommodate registration requirements. Work Schedule: This role requires availability during established, regular business hours (Mon-Fri) and is expected to be a part of an on-call rotation which will result in working nontraditional hours as needed. Work Environment: Employees can expect to work with distributed teams across all U.S. time zones. Our roles require extended technology usage, and proficiency with virtual communication tools such as Zoom and Slack. Regular attendance in virtual meetings is inherent to every position. Salary Range Details: Salary Range: $173,676 - $192,209 - $210,741 ActBlue is committed to consistent compensation practices across our organization. Final salary offers will take into account factors such as candidate experience, interview performance and current team salary parity. Benefits: Flexible work schedules and an unlimited time-off policy Fully paid and trans-inclusive health, dental, and vision insurance for employees and their families; plus fully-paid health reimbursement arrangement to use for out of pocket expenses and fully-paid short- and long-term disability Fully paid basic and AD&D life insurance and a voluntary supplemental life insurance option Dependent and health care flexible spending account options Employee Assistance Program (EAP) benefits for employees Automatic 2% Employer-paid 401K contribution, plus up to an additional 6% match on employee contributions A minimum of three months paid medical, family and parental leave (for all new parents, adoptions included) Commuter or home-office benefits, including a $1,000 home-office setup allowance for all new full-time remote employees Additional perks including quarterly snack deliveries and digital subscriptions to the Boston Globe & New York Times ActBlue is unable to sponsor work visas at this time. UNION INFORMATION The terms and conditions of this position are subject to a collective bargaining agreement with the Communications Workers of America, the exclusive bargaining agent of covered ActBlue Technical Services employees. BACKGROUND CHECKS As part of our hiring process, ActBlue will conduct a background check at the time of offer. This will be completed in compliance with applicable laws and will not be initiated without your consent. INCLUSION STATEMENT FROM ACTBLUE ActBlue is committed to equal employment opportunities and fostering a diverse, inclusive workplace. We celebrate unique perspectives, honor the dignity of all individuals, and recognize that diverse backgrounds and identities strengthen our mission. If you're passionate about our work and see yourself in this role, we encourage you to apply-even if you don't meet every requirement. We also provide reasonable accommodations for individuals with disabilities throughout the hiring process and employment. To request an accommodation, email ***********************. *ActBlue will never ask candidates to buy equipment, nor will we email from anything other than an actblue.com or actbluetech.com email address.

Battelle delivers when others can't. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients-whether they are a multi-national corporation, a small start-up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply. **Job Summary** As a Data Engineer within Battelle's Cyber business area, you will support a program mission to deliver comprehensive technical expertise and testing support to our government customer, contributing to the evaluation, customization, and operationalization of cutting-edge systems and payloads ensuring they meet the customer's evolving requirements for effectiveness, safety, and security. **Responsibilities** + Design and implement data acquisition systems for test environments, enabling real-time collection, processing, and analysis of technical and operational data from flight tests, component assessments, and system integration activities. + Develop and maintain robust data pipelines that support the ingestion, transformation, and storage of test data from diverse instrumentation sources, ensuring high data integrity and traceability throughout the test lifecycle. + Collaborate with systems engineers and test specialists to define data requirements, integrate instrumentation outputs, and optimize data flows for real-time monitoring and post-test analysis. + Implement real-time data processing solutions to support rapid assessment of system performance, technical maturity, and operational readiness during test events. + Develop and deploy data visualization tools and dashboards that provide stakeholders with actionable insights from test data, including key findings, trends, and risk factors relevant to system selection and integration. + Ensure secure management and compliance of test data, including configuration management, audit readiness, and integration with digital engineering environments (e.g., MBSE repositories, digital twin libraries). + Support the creation of technical analysis reports and comparative matrices by integrating real-time and post-test data from instrumentation, modeling, and simulation outputs. + Contribute to supply chain risk analysis by managing and analyzing hardware/software bill of materials (BOM) data, supporting vulnerability assessments, and maintaining requirements traceability within digital engineering workflows. + Prepare and deliver comprehensive data packages, analysis summaries, and supporting documentation for technical reviews, risk assessments, and operational recommendations. **Key Qualifications** + Bachelor's degree in a related field with 5+ years of experience, or an equivalent combination of education and experience. + Strong background in modeling and simulation of complex systems. + Proven ability to lead technical discussions and communicate complex concepts to both technical and non-technical stakeholders. + Strong problem-solving, analytical, and teamwork skills. **Nice to Have** + Experience with model-based systems engineering (MBSE) methodologies. + Familiarity with SysML diagramming tools (e.g., Cameo Systems Modeler, IBM Rhapsody). + Experience with DoD Architecture Framework (DoDAF) and/or Unified Architectural Framework (UAF). + Experience with embedded systems, microelectronics, FPGA, or circuit card design. + Programming experience in MATLAB, Python, C++, or other object-oriented languages. + Experience supporting DoD programs. + Active Top-Secret Clearance. **Benefits: Live an Extraordinary Life** We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life. + **Balance life through a compressed work schedule** : Most of our team follows a flexible, compressed work schedule that allows for every other Friday off-giving you a dedicated day to accomplish things in your personal life without using vacation time. + **Enjoy enhanced work flexibility, including a hybrid arrangement:** You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs. + **Take time to recharge** : You get paid time off to support work-life balance and keep motivated. + **Prioritize wellness** : Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits. + **Better together** : Coverage for partners, gender-affirming care and health support, and family formation support. + **Build your financial future** : Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that. + **Advance your education** : Tuition assistance is available to pursue higher education. **A Work Environment Where You Succeed** For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity's most pressing challenges and creating a safer, healthier and more secure world. You will have the opportunity to thrive in a culture that inspires you to: + Apply your talent to challenging and meaningful projects + Receive select funding to pursue ideas in scientific and technological discovery + Partner with world-class experts in a collaborative environment + Nurture and develop the next generation of scientific leaders + Give back to and improve our communities **Vaccinations & Safety Protocols** _Battelle may require employees, based on job duties, work location, and/or its clients' requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws)._ _Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle._ The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. **No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department.** For more information about our other openings, please visit ************************

Together we make breakthroughs possible. At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world. Why join OCLC? OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions-performance, experience, and skills-along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being. We know the best ideas don't always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We're committed to your success-both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs. Free use of our on-site fitness center, gym sports, group exercise classes, and game room Onsite catering and cafeteria subsidized by OCLC Health and wellness events Work environments with individual and team spaces and the latest technology tools Paid parental leave and adoption assistance Tuition reimbursement and Public Service Loan Forgiveness eligibility Company-subsidized pricing on local tickets and memberships Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact. The job details are as follows:We're seeking a seasoned Senior Data Engineer to join our Analytics team and drive the design, development, and optimization of high scale data solutions. In this role, you'll architect and support end to end ETL pipelines-leveraging Informatica PowerCenter-to ingest, transform, and curate data from internal systems and SaaS platforms into our enterprise data warehouse, data lake, data marts, and other downstream analytics platforms. You'll serve as both the data modeling expert and a key contributor to our DataOps and Data Quality programs, partnering with stakeholders to translate business requirements into reliable, performant analytics assets. We need engineers that that embrace AI as a tool to move us with speed and execution in our ETL space. If you thrive in a collaborative, fast paced environment and are passionate about building scalable, best in class data architectures, we'd love to hear from you. Responsibilities Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models Design, develop, and maintain ETL workflows using Informatica PowerCenter, ensuring reliable, performant pipelines from internal databases and SaaS applications Write performant code that meets our internal standards for style, maintainability, and best practices for a high-scale data environment. Maintain and advocate for these standards through code review. Serve as the Data Model subject matter expert and data model spokesperson, demonstrated by the ability to address questions quickly and accurately Provide data modeling expertise to other OCLC teams and departments through code reviews, pairing, and training to help deliver optimal, DRY, and scalable database designs and queries Ship medium to large features independently Subject Matter Expert for sections of the Enterprise Metadata Platform, a scalable resource to support Self-Service and Single-source-of-truth analytics Advocate for the Data Quality Program and Trusted Data Development process to help ensure all data is profiled, reviewed, and accurate to support critical decisions Implement the DataOps philosophy in everything you do Understand and implement data engineering best practices Improve, manage, and teach standards for code maintainability and performance in code submitted and reviewed Create smaller merge requests and issues by collaborating with stakeholders to reduce scope and focus on iteration Generate architecture recommendations and the ability to implement them Perform technical interviews Organize and plan development initiatives Implement new data engineering and analytics methodologies with minimal guidance and support from other team members Regularly participate in the Data Community/Industry outside of OCLC through writing, speaking, and/or networking Qualifications Bachelor's degree in a Computer Science related discipline required and skills usually represented by 4-6 years of software development or project management experience 4+ years in the Data space as an analyst, engineer, or equivalent 4+ years working with a large-scale (1B+ Rows) Data Warehouse, preferably in a cloud environment 2+ years managing the same data model system over time, evolving the model to meet new business requirements Extensive experience in 2 or more major data subject areas (finance, product, etc.) Professional experience using Python, Java, or Scala for data processing (Python preferred) Demonstrated experience leading 4 or more analytics projects from beginning to operationalization Demonstrated experience designing and socializing Entity Relationship Diagrams and reference SQL scripts to scale data acumen and adoption Experience working with multiple commercial data warehouses, ETL tools, and data visualization tools Familiarity with unit testing, integration testing and performance/stress testing Excellent oral and written communication skills: regularly achieve consensus amongst technical and business teams Working Conditions: Normal office environment. Hybrid position requires three days in office. ADA/EAA: The above statements cover what are generally believed to be the principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.

Together we make breakthroughs possible. At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You'll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world. The Job Details are as follows: OCLC, Inc. seeks a Lead Data Platform Engineer at its Dublin, OH HQ, to perform high level analysis, design software for new and existing systems, and use industry standard programming techniques to translate designs into code. Req. BS in Comp. Sci. or similar and 7 years of exp. Exp. must include Hadoop, Hbase, Ansible, and AWS EMR. Apply online at ************* EOE

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights * Medical: Multiple plan options. * Dental: Delta Dental or reimbursement account for flexible coverage. * Vision: Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses. * Retirement: Competitive retirement package to secure your future. Responsibilities Data Scientist Foundational Model Science Position Summary The Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player-coach, guiding strategy and building a future team. Key Responsibilities Scientific & Technical Leadership * Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings. * Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models). * Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification. * Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking. Hands-On Modeling & Training * Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets. * Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks. * Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction. * Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior. * Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance. * Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration. * Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds. * Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations. Cross-functional Collaboration * Work closely with the Representation team to ensure representation-model alignment. * Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors. Team Leadership * Serve as the future founding technical lead of the Foundational Model Science Program. * Mentor scientists and engineers and eventually build a specialty modeling team. Qualifications Required * PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning. * Experience with generative modeling, reasoning models, or multimodal foundation models. * Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization). * Experience with distributed training, and large-scale compute. Preferred * Experience with clinical or EMR data across multiple modalities. * 7+ years experience training deep learning models, including transformers or multimodal architectures. * Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness. * Publications in multimodal learning, foundation models, or reasoning architectures. Exemption Status Exempt Compensation Detail Education, experience and tenure may be considered along with internal equity when job offers are extended.; $165,276 -247,998/ annually. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday. Regular day hours. Weekend Schedule none expected International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Jill Squier

Data Scientist Foundational Model Science The Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player-coach, guiding strategy and building a future team. Key Responsibilities Scientific & Technical Leadership Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings. Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models). Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification. Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking. Hands-On Modeling & Training Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets. Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks. Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction. Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior. Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance. Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration. Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds. Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations. Cross-functional Collaboration Work closely with the Representation team to ensure representation-model alignment. Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors. Team Leadership Serve as the future founding technical lead of the Foundational Model Science Program. Mentor scientists and engineers and eventually build a specialty modeling team. Required PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning. Experience with generative modeling, reasoning models, or multimodal foundation models. Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization). Experience with distributed training, and large-scale compute. Preferred Experience with clinical or EMR data across multiple modalities. 7+ years experience training deep learning models, including transformers or multimodal architectures. Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness. Publications in multimodal learning, foundation models, or reasoning architectures.

Why Mayo Clinic Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. Benefits Highlights * Medical: Multiple plan options. * Dental: Delta Dental or reimbursement account for flexible coverage. * Vision: Affordable plan with national network. * Pre-Tax Savings: HSA and FSAs for eligible expenses. * Retirement: Competitive retirement package to secure your future. Responsibilities Join a world-renowned institution where data science directly improves patient lives. At Mayo Clinic, Data Scientists turn complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare. This role partners closely with Data Science and Informatics faculty and serves as a technical thought leader-shaping the strategy, direction, and impact of data science across the enterprise. As a Data Scientist at Mayo Clinic, you will: * Transform data into insight and insight into action, spanning the full spectrum from problem formulation and data acquisition to modeling, deployment, and interpretation. * Provide strategic direction for data science and AI in a specialized domain-such as cancer, surgery, healthcare delivery, marketing, or planning services. * Collaborate with enterprise leaders to advance Mayo Clinic's digital and analytics strategy. * Work side‑by‑side with Informatics and IT teams to build data‑ and intelligence‑driven systems that address complex, high‑priority challenges. * Recommend best practices for data collection, integration, and retention, incorporating technical, operational, and business needs. * Support scientific and operational initiatives under the guidance of a senior data scientist or through full independent direction. * Design and develop scripts, tools, and software applications that enable data extraction, management, and analysis across the organization. * Deliver enterprise‑level consultative services, providing analysis and presenting findings to leadership and multidisciplinary stakeholders. * In Generative AI, a Data Scientist will lead and execute Gen AI/Agentic based approaches Key Responsibilities * Partner with multidisciplinary teams to create innovative approaches for data‑driven decision‑making. * Lead exploration of next‑generation AI/ML approaches to solve complex analytical problems across diverse domains. * Apply deep expertise in data science methods, data types, and scientific challenges to help shape new products, experiences, and technologies. * Guide and mentor data science staff, ensuring high‑quality analysis, unbiased recommendations, and alignment with strategic priorities. * Develop analytics tools and solutions that can be used effectively by non‑technical staff. Qualifications * PhD in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline) Plus * At least four years of experience in data science, machine learning, AI, or informatics What You Bring * A blend of deep technical expertise and strong business acumen, with a proven ability to lead technical or quantitative teams. * Demonstrated success developing predictive and prescriptive models using advanced statistical modeling, machine learning, or data mining. * Experience applying problem‑solving frameworks, planning methods, continuous improvement approaches, and project management techniques. * Ability to independently manage multiple high‑impact projects in a dynamic environment, staying current with healthcare trends and enterprise priorities. * Exceptional interpersonal skills-presentation, negotiation, persuasion, and written communication. * Strong time‑management skills and the ability to prioritize, organize, and delegate effectively. * Expertise in scientific computing, data management packages, data modeling, and data exploration tools. * A consulting mindset: the ability to identify challenges, recommend solutions, deploy analytics tools, and support non‑technical users. * Demonstrated initiative in areas such as training, software development, education, and technical documentation. * Proven ability to provide vision and strategic direction at the departmental, institutional, or enterprise level. * Preferred publications in high impact factors Exemption Status Exempt Compensation Detail Compensation range is $165,276.80 - $247,998.40 / Salary. This vacancy is not eligible for sponsorship, and we will not sponsor or transfer visas for this position. Benefits Eligible Yes Schedule Full Time Hours/Pay Period 80 Schedule Details Monday - Friday, 8am - 5pm CST. Some on-site travel may be required for retreats or meetings. Weekend Schedule As needed. International Assignment No Site Description Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'. Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter Briana Priniski

Join a world-renowned institution where data science directly improves patient lives. At Mayo Clinic, Data Scientists turn complex, heterogeneous data into meaningful insights that enhance clinical care, accelerate scientific discovery, and strengthen the digital future of healthcare. This role partners closely with Data Science and Informatics faculty and serves as a technical thought leader-shaping the strategy, direction, and impact of data science across the enterprise. As a Data Scientist at Mayo Clinic, you will: Transform data into insight and insight into action, spanning the full spectrum from problem formulation and data acquisition to modeling, deployment, and interpretation. Provide strategic direction for data science and AI in a specialized domain-such as cancer, surgery, healthcare delivery, marketing, or planning services. Collaborate with enterprise leaders to advance Mayo Clinic's digital and analytics strategy. Work side‑by‑side with Informatics and IT teams to build data‑ and intelligence‑driven systems that address complex, high‑priority challenges. Recommend best practices for data collection, integration, and retention, incorporating technical, operational, and business needs. Support scientific and operational initiatives under the guidance of a senior data scientist or through full independent direction. Design and develop scripts, tools, and software applications that enable data extraction, management, and analysis across the organization. Deliver enterprise‑level consultative services, providing analysis and presenting findings to leadership and multidisciplinary stakeholders. In Generative AI, a Data Scientist will lead and execute Gen AI/Agentic based approaches Key Responsibilities Partner with multidisciplinary teams to create innovative approaches for data‑driven decision‑making. Lead exploration of next‑generation AI/ML approaches to solve complex analytical problems across diverse domains. Apply deep expertise in data science methods, data types, and scientific challenges to help shape new products, experiences, and technologies. Guide and mentor data science staff, ensuring high‑quality analysis, unbiased recommendations, and alignment with strategic priorities. Develop analytics tools and solutions that can be used effectively by non‑technical staff. • PhD in a domain relevant field (mathematics, computer science, statistics, physics, engineering, data science, health science, or a related discipline) Plus • At least four years of experience in data science, machine learning, AI, or informatics What You Bring A blend of deep technical expertise and strong business acumen, with a proven ability to lead technical or quantitative teams. Demonstrated success developing predictive and prescriptive models using advanced statistical modeling, machine learning, or data mining. Experience applying problem‑solving frameworks, planning methods, continuous improvement approaches, and project management techniques. Ability to independently manage multiple high‑impact projects in a dynamic environment, staying current with healthcare trends and enterprise priorities. Exceptional interpersonal skills-presentation, negotiation, persuasion, and written communication. Strong time‑management skills and the ability to prioritize, organize, and delegate effectively. Expertise in scientific computing, data management packages, data modeling, and data exploration tools. A consulting mindset: the ability to identify challenges, recommend solutions, deploy analytics tools, and support non‑technical users. Demonstrated initiative in areas such as training, software development, education, and technical documentation. Proven ability to provide vision and strategic direction at the departmental, institutional, or enterprise level. Preferred publications in high impact factors

Battelle delivers when others can't. We conduct research and development, manage national laboratories, design and manufacture products and deliver critical services for our clients-whether they are a multi-national corporation, a small start-up or a government agency. We recognize and appreciate the value and contributions of individuals from a wide range of backgrounds and experiences and welcome all qualified individuals to apply. **Job Summary** As a Data Engineer within Battelle's Cyber business area, you will support a program mission to deliver comprehensive technical expertise and testing support to our government customer, contributing to the evaluation, customization, and operationalization of cutting-edge systems and payloads ensuring they meet the customer's evolving requirements for effectiveness, safety, and security. **Responsibilities** + Design and implement data acquisition systems for test environments, enabling real-time collection, processing, and analysis of technical and operational data from flight tests, component assessments, and system integration activities. + Develop and maintain robust data pipelines that support the ingestion, transformation, and storage of test data from diverse instrumentation sources, ensuring high data integrity and traceability throughout the test lifecycle. + Collaborate with systems engineers and test specialists to define data requirements, integrate instrumentation outputs, and optimize data flows for real-time monitoring and post-test analysis. + Implement real-time data processing solutions to support rapid assessment of system performance, technical maturity, and operational readiness during test events. + Develop and deploy data visualization tools and dashboards that provide stakeholders with actionable insights from test data, including key findings, trends, and risk factors relevant to system selection and integration. + Ensure secure management and compliance of test data, including configuration management, audit readiness, and integration with digital engineering environments (e.g., MBSE repositories, digital twin libraries). + Support the creation of technical analysis reports and comparative matrices by integrating real-time and post-test data from instrumentation, modeling, and simulation outputs. + Contribute to supply chain risk analysis by managing and analyzing hardware/software bill of materials (BOM) data, supporting vulnerability assessments, and maintaining requirements traceability within digital engineering workflows. + Prepare and deliver comprehensive data packages, analysis summaries, and supporting documentation for technical reviews, risk assessments, and operational recommendations. **Key Qualifications** + Bachelor's degree in a related field with 5+ years of experience, or an equivalent combination of education and experience. + Strong background in modeling and simulation of complex systems. + Proven ability to lead technical discussions and communicate complex concepts to both technical and non-technical stakeholders. + Strong problem-solving, analytical, and teamwork skills. **Nice to Have** + Experience with model-based systems engineering (MBSE) methodologies. + Familiarity with SysML diagramming tools (e.g., Cameo Systems Modeler, IBM Rhapsody). + Experience with DoD Architecture Framework (DoDAF) and/or Unified Architectural Framework (UAF). + Experience with embedded systems, microelectronics, FPGA, or circuit card design. + Programming experience in MATLAB, Python, C++, or other object-oriented languages. + Experience supporting DoD programs. + Active Top-Secret Clearance. **Benefits: Live an Extraordinary Life** We care about your well-being, not just on the job. Battelle offers comprehensive and competitive benefits to help you live your best life. + **Balance life through a compressed work schedule** : Most of our team follows a flexible, compressed work schedule that allows for every other Friday off-giving you a dedicated day to accomplish things in your personal life without using vacation time. + **Enjoy enhanced work flexibility, including a hybrid arrangement:** You have options for where and when you work. Our Together with Flexibility model allows you to work 60% in-office and 40% remote, with Monday and Tuesday as common in-office days, dependent on team and position needs. + **Take time to recharge** : You get paid time off to support work-life balance and keep motivated. + **Prioritize wellness** : Stay healthy with medical, dental, and vision coverage with wellness incentives and benefits plus a variety of optional supplemental benefits. + **Better together** : Coverage for partners, gender-affirming care and health support, and family formation support. + **Build your financial future** : Build financial stability with an industry-leading 401(k) retirement savings plan. For most employees, we put in 5 percent whether you contribute or not, and match your contributions on top of that. + **Advance your education** : Tuition assistance is available to pursue higher education. **A Work Environment Where You Succeed** For brilliant minds in science, technology, engineering and business operations, Battelle is the place to do the greatest good by solving humanity's most pressing challenges and creating a safer, healthier and more secure world. You will have the opportunity to thrive in a culture that inspires you to: + Apply your talent to challenging and meaningful projects + Receive select funding to pursue ideas in scientific and technological discovery + Partner with world-class experts in a collaborative environment + Nurture and develop the next generation of scientific leaders + Give back to and improve our communities **Vaccinations & Safety Protocols** _Battelle may require employees, based on job duties, work location, and/or its clients' requirements to follow certain safety protocols and to be vaccinated against a variety of viruses, bacteria, and diseases as a condition of employment and continued employment and to provide documentation that they are fully vaccinated. If applicable, Battelle will provide reasonable accommodations based on a qualified disability or medical condition through the Americans with Disabilities Act or the Rehabilitation Act or for a sincerely held religious belief under Title VII of the Civil Rights Act of 1964 (and related state laws)._ _Battelle is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Battelle._ The above statements are intended to describe the nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, activities and skills required of staff members. **No statement herein is intended to imply any authorities to commit Battelle unless special written permission is granted by Battelle's Legal Department.** For more information about our other openings, please visit ************************

Salary Range: $9,852.82 - $13,278.10 Monthly Data Scientist Supervisor (“The Director”) provides administrative and technical supervision to a unit responsible for development and maintenance of Information Technology (IT) systems, and data analytics and business intelligence initiatives for Community Programs (CP) within the Department of Health Services (DHS). Community Programs includes the Office of Diversion and Reentry, the Harm Reduction Division, CalAIM Housing and Reentry Initiatives and other programs that serve people who are justice-involved and/or experiencing homelessness. This position serves as the primary technical resources for data analytics and business intelligence and delivers reporting and evaluation that supports data-driven decision-making and improves operational efficiency, works with senior IT and program leadership to design, implement, and maintain data systems and analytics infrastructure, ensures the integration of CP data with data from multiple health, housing, and justice platforms; and defines the overall vision, governance, and strategy for data analytics, business intelligence, and IT integration within Community Programs. Position requires expert knowledge of and experience in advanced data and statistical modeling and computational methods, statistical programming languages and packages, and big-data engineering solutions; and the ability to identify and resolve business needs and issues of strategic importance within the assigned department. The position will be a hybrid role, and the office is based in downtown Los Angeles. ESSENTIAL FUNCTIONS of the Data Scientist Supervisor include, but are not limited to: Plans, organizes, supervises, and evaluates complex data analytics, business intelligence and IT integration operations across Community Programs. Develops, implements, and monitors large-scale data science and reporting projects from inception to deployment, ensuring objectives and outcomes are met in a timely manner Supervises and mentors a diverse team of analysts and data scientists; supports training and development of technical skills; promotes continuous professional development; fosters a collaborative, high-performing work environment; and manages cross-department partnerships on data analytics. Advises program leadership on analytics opportunities, emerging technologies, and strategic initiatives to improve operational efficiency and data-driven decision-making. Directs the design, development, and maintenance of complex data systems that hold case management, healthcare and justice data, including the Comprehensive Health Accompaniment and Management Platform (CHAMP), the Diversion Database, and the LA County InfoHub. Oversees enhancements to ensure interoperability, usability, and performance. Leads the integration of the data systems with Community Programs' operations across health, housing and justice programs. Works closely with CP leadership across programs to identify business needs and to define the overall strategy and vision for data analytics and IT integration, aligning with DHS and Countywide priorities in health, housing, and justice. Collaborates with DHS' Chief Information Office and DHS Population Health Analytics, and other County departments to improve IT systems, large databases, data pipelines, and analytic tools that improve service delivery, operational efficiency, and program effectiveness. Oversees the design and production of dashboards, performance reports, and analytics tools for internal and external stakeholders, including CP teams and contracted providers (e.g. community-based organizations), the Board of Supervisors, managed care plans, and the broader community. Leads efforts to standardize data collection, analysis, and reporting practices across programs and providers. Directs data governance, privacy, and security initiatives across Community Programs, ensuring compliance with DHS, County, and State requirements. Works closely with the CP CalAIM team to support Medicaid claiming; oversees data management, reporting, and data quality assurance for Medicaid billing operations, including CalAIM Community Supports and Enhanced Care Management, and Specialty Mental Health Services and Drug Medi-Cal billing. Implements and maintains data infrastructure projects, including creation of a CP data repository in InfoHub and integration of data from non-DHS sources Serves as the technical liaison for system integrations with external data exchanges with other County Departments through the County's Infohub and with non-County partners through LANES (a Countywide Health Information Exchange) and other health information exchange platforms. Oversees creation and implementation of data-sharing agreements and MOUs to expand data access and improve interdepartmental collaboration. Oversees risk management, incident investigations, and IT security reviews related to CP data systems and reporting platforms. Represents CP in Countywide data governance, oversight, and strategic planning committees. Promotes innovation in data science and analytics through the exploration and implementation of machine learning, predictive modeling, and other advanced analytic methodologies. JOB QUALIFICATIONS Minimum Education/Experience A Bachelor's degree from an accredited college or university in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field. AND five (5) years of experience doing large-scale data integration, data reporting and analytics or IT business analysis; coordination or oversight of complex data science projects to support program, policy and operational decision-making and management; and data-driven program design, implementation, evaluation and quality improvement. That experience must include two (2) years supervising a team of a data science professionals. A Master's or Doctoral degree in Data Science, Computer Science, Information Systems, Mathematics, Machine Learning, Statistics, Business Analytics, Data Analytics, Public Health, Epidemiology or a related field may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan process with the County of Los Angeles. Other Skills, Knowledge, and Abilities Strong leadership and management skills, with the ability to motivate and inspire a team. Proven experience in data analysis and visualization tools, such as SQL, Excel, Tableau, Power BI, or similar tools. Excellent analytical and problem-solving skills, with a strong attention to detail. In-depth knowledge of statistical analysis techniques and methodologies Proficiency in data modeling and data manipulation. Strong business acumen and the ability to connect data insights to business objectives. Excellent communication and presentation skills, with the ability to translate complex data into clear and actionable insights. Ability to work effectively in a fast paced, dynamic environment, managing multiple priorities and meeting deadlines. Experience with cloud data platforms like MSFT Azure, AWS, Databricks, Snowflake, Google BigQuery. Proven track record of delivering impactful insights and recommendations based on data analysis. Demonstrated experience in developing and implementing analytics strategies in a corporate environment. Strong understanding of data governance principles and practices. Familiarity with data visualization best practices and tools. Experience working with large datasets and using statistical analysis techniques. Knowledge of programming languages such as Python or R is preferred. Certification in relevant analytics tools or methodologies is a plus. ONLINE APPLICATION REQUIREMENTS At a minimum, candidates need to submit/upload electronic copies of a resume describing education to include training certifications, and relevant paid and volunteer experience - relevant to the essential job functions. Applications need to include legible copies of education diplomas/transcripts as applicable. A cover introductory letter may be submitted while not required. Legible copies of certificates to substantiate proficiency in skills, knowledge and abilities may be submitted. Applications without supporting documentation at the time of application or no more than 5 business days after the initial application will not be included in the candidate pool. Review of job description at *************************************** is suggested, especially if applying to the position from a third-party online application. PHYSICAL DEMANDS Stand Frequently Walk Frequently Sit Frequently Handling Occasionally Reach Outward Occasionally Reach Above Shoulder Occasionally Climb, Crawl, Kneel, Bend Occasionally Lift / Carry Occasionally - Up to 35 lbs Push/Pull Occasionally - Up to 35 lbs See Constantly Taste/ Smell Not Applicable Not Applicable Not required for essential functions Occasionally (0 - 2 hrs/day) Frequently (2 - 5 hrs/day) Constantly (5+ hrs/day) WORK ENVIRONMENT General Office Setting, Indoors Temperature Controlled EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

Doctors are overworked, burnt out, and are quitting in masses. At Freed, we combine clinician love with the latest AI tech and intense execution to create products that make clinicians happier. Our first product is an AI scribe that automates medical documentation. Since May of 2023, we have: Acquired 26,000 paying and loving clinicians Generated 100,000 patient notes daily and over 3 million monthly Made thousands of clinicians happier With the backing of Sequoia Capital and other world-class VC's, we are rapidly expanding our product offering. Patient-facing assistants, patient insights, EHR integrations, and other products are being built and used by thousands of clinicians every day. We are looking for entrepreneurs. Fast, ambitious, and smart individuals who want to take care of the people who care for our health. Expect intense, clinician-focused, and interesting co-workers who want to win. With an office in San Francisco, we embrace a hybrid schedule that brings out the best in teamwork and innovation. Our teams come together in person three days a week to collaborate, connect, and have a little fun along the way. ABOUT THE ROLE As the first Marketing Data and Analytics Marketer, you will play a key role in shaping our marketing efforts by structuring, gathering, analyzing, and interpreting data to optimize our strategies. You will be responsible for establishing data-driven decision-making processes, driving marketing team performance analysis, and continuously improving ROI. You will collaborate closely with cross-functional teams to deliver actionable insights and provide strategic recommendations that drive growth. HOW YOU'LL HAVE IMPACT Lead the development of the marketing analytics strategy and execution across all digital channels. Oversee the integration of marketing data from various sources (e.g., CRM, web analytics, paid media, email campaigns, social media, etc). Ensure data quality, accuracy, and integrity across all marketing systems. Establish KPIs and develop dashboards to measure and track the success of marketing campaigns and initiatives. Perform deep-dive analyses into campaign performance, identifying trends, insights, and areas for optimization. Use data-driven insights to continuously enhance marketing strategies, including customer acquisition, retention, and overall engagement. Build complex models and conduct multivariate testing to optimize marketing efforts (e.g., A/B testing, predictive modeling). Provide regular reporting to the CMO and executive team on the health and performance of marketing efforts. Conduct cohort analysis, customer segmentation, and lifetime value (LTV) analysis to guide decision-making. Partner with marketing, product, and sales teams to align on business objectives, understand data needs, and deliver impactful insights. Serve as the go-to expert on marketing analytics for senior leadership, translating data insights into actionable business recommendations. Constantly assess the effectiveness of marketing strategies, implementing iterative improvements based on real-time data and results. Recommend innovative solutions for marketing automation and efficiency improvements. WHAT YOU'LL BRING Bachelor's degree in Marketing, Data Science, Statistics, Business Analytics, or a related field (Master's degree is a plus). 7-10 years of experience in marketing data and analytics, preferably in a fast-paced startup or technology environment. Strong background in measuring a PLG motion as well as digital marketing channels. Proven track record of using data to drive marketing strategy and decision-making. Experience with advanced data analysis tools (e.g., Google Analytics, Looker, SQL, R, Python, etc). Advanced proficiency in data visualization and reporting tools (e.g., Looker, Google Data Studio, Power BI). Strong analytical and problem-solving skills with the ability to turn complex data into clear, actionable insights. Deep understanding of customer segmentation, behavior tracking, and predictive analytics. Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. WHAT WE'LL BRING Competitive salary and equity in a high-growth company Opportunity to make an immediate impact Medical, dental, and vision coverage Unlimited paid time off Company-sponsored annual retreats Commuter stipend for our San Francisco based employees 401(k) plan to support your long-term financial goals

We're looking for a Finance Data Engineer to help automate, connect, and optimize the financial backbone of our business. You'll build reliable data pipelines, automate manual finance and accounting processes, and enable data-driven decision-making across Finance, Accounting, and Customer Experience teams. This is a high-impact role where you'll translate financial logic into scalable data workflows - improving accuracy, speed, and visibility across our systems. What You'll Do Build and maintain financial data pipelines - automate ingestion and processing of data from systems like Stripe, QuickBooks, Rippling, Salesforce, and our internal product databases. Design ETL/ELT workflows to unify revenue, expense, and customer data into a centralized warehouse (Snowflake/BigQuery/Redshift). Automate manual finance and accounting workflows, including reconciliations, invoice tracking, ARR reporting, and customer billing analytics. Partner with Finance and Accounting teams to translate business requirements into data models and dashboards. Collaborate with Customer Experience and Operations teams to ensure accurate visibility into billing, refunds, collections, and customer-level financial metrics. Develop and maintain dashboards in tools like Looker, Tableau, or Metabase for financial and operational insights. Ensure data integrity across systems through validations, reconciliation checks, and monitoring. Implement scalable automation for recurring reporting and compliance workflows (month-end close, revenue recognition, etc.). What You'll Bring 3-6 years of experience in Data Engineering, Analytics Engineering, or Finance Systems Engineering (startup or SaaS experience preferred). Strong proficiency in SQL, Python, and ETL tools (dbt, Airflow, Fivetran, or similar). Experience working with finance systems (e.g., QuickBooks, NetSuite, Ramp, Rippling, Stripe, Bill.com). Solid understanding of financial data structures - GL, P&L, balance sheet, ARR/MRR metrics, etc. Familiarity with data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau, Metabase). Strong analytical and problem-solving skills with a “systems-first” mindset - you see manual spreadsheets and think “pipeline.” Comfortable working cross-functionally with Finance, Accounting, CX, and Data teams. Nice to Have Experience with customer billing and revenue data in B2B SaaS environments. Interest in startup environments where you can move fast, experiment, and shape systems from the ground up. Why You'll Love It Here Opportunity to build the financial data foundation from scratch. High visibility across Finance, Data, and CX functions. Collaborative team culture - you'll work closely with both technical and non-technical stakeholders. Competitive salary, equity, and comprehensive benefits package.

The Data Scientist plays a pivotal role in transforming raw data into actionable insights that drive the efficient operation of ambulatory clinics. This position involves advanced data modeling, statistical analysis, and the application of machine learning techniques to identify trends, optimize performance, and support data-driven decision-making. The Data Scientist will design and maintain robust data models, develop predictive models, and collaborate with stakeholders to interpret complex data sets. The role requires expertise in data analysis, a strong understanding of healthcare data, and a commitment to enhancing the financial viability and operational efficiency of ambulatory clinics. + Develop, refine, and maintain complex data models that support ambulatory operations, ensuring data accuracy and consistency. + Apply statistical analysis and machine learning techniques to analyze large datasets, identify trends, and generate predictive insights. + Design and implement predictive models to forecast key performance indicators, patient outcomes, and ambulatory operational efficiencies. + Create and validate algorithms for data mining, cleansing, and transformation to enhance data usability + Lead or participate in projects focused on enhancing data infrastructure, analytical capabilities, and reporting frameworks. + Explore and implement innovative data science techniques and tools to address complex challenges in ambulatory operations. + Stay current with advancements in data science and healthcare analytics, applying new methods and technologies to improve performance and outcomes. + Work closely with cross-functional teams, including IT, clinical, and business stakeholders, to understand data needs and deliver actionable insights. + Present findings and recommendations to leadership and other stakeholders in a clear, concise, and actionable manner. + Provide guidance and mentorship to analysts within the team + Lead efforts in data integration, ensuring seamless interoperability between multiple data sources and systems + Enforce data governance standards, including data quality, metadata management, and data security protocols. + Develop and manage ETL (Extract, Transform, Load) processes to curate data from various sources into structured formats suitable for analysis. + Document and maintain data lineage, ownership, and access requirements, ensuring compliance with healthcare regulations salary range: $102500-$227700 Qualifications Required Skills and Experience: + Bachelor's degree in a related field or equivalent experience/training. + Minimum of 3+ years of experience in a healthcare-related organization, with a strong understanding of healthcare data and operations + Minimum of 5 years of experience with Python or R for data analysis, modeling, and machine learning applications. + Proven expertise in data modeling, information design, and data integration. + Advanced knowledge of data management systems, practices, and standards. + Experience with complex data quality, governance issues, and data conversion. + Strong analytical and problem-solving skills with attention to detail. + Ability to abstract and represent information flows in systems through effective modeling. + Excellent communication and interpersonal skills, with a demonstrated ability to work collaboratively across diverse teams. Preferred Skills: + Experience with Databricks, including managing and processing large datasets in a distributed environment. + Experience with Azure DevOps, including managing workflows, version control, and collaborative project management. UCLA Health welcomes all individuals, without regard to race, sex, sexual orientation, gender identity, religion, national origin or disabilities, and we proudly look to each person's unique achievements and experiences to further set us apart.