It’s More Than a Career, It’s a Mission. Our people are the foundation of our success. By joining our growing team at Sarah Cannon Research Institute (SCRI), a subsidiary of McKesson, you will have the opportunity to become part of one of the largest community-based cancer programs to advance oncology treatments and improve outcomes for cancer patients across the globe. We look for mission-driven candidates who have a desire to advance the fight against cancer and make a difference in the lives of patients diagnosed with cancer every day. Our Mission People who live with cancer – those who work to prevent it, fight it, and survive it – are at the heart of every decision we make. Bringing the most innovative medical minds together with the most passionate caregivers in their communities, we are transforming care and personalizing treatment. Through clinical excellence and cutting-edge research, SCRI is redefining cancer care around the world. SCRI’s Data Solutions team is seeking a Senior Data Engineer to address strategic data needs. The Senior Data Engineer is responsible for designing, building, and maintaining data engineering processes. This role involves working with cross-functional teams to develop efficient data pipelines and support data modernization initiatives. The position requires expertise in data engineering principles, experience with cloud technologies, and an ability to deliver reliable data solutions. Duties and Responsibilities: - Design and implement scalable and efficient data pipelines to support various data-driven initiatives.  - Designs and maintains Databricks Lakehouse pipelines across Bronze/Silver/Gold (Delta) layers, producing governed, ML-ready datasets with built-in data quality checks and lineage. - Collaborate with cross-functional teams to understand data requirements and contribute to the development of data architectures.  - Work on data integration projects, ensuring seamless and optimized data flow between systems.  - Implement best practices for data engineering, ensuring data quality, reliability, and performance.  - Contribute to data modernization efforts by leveraging cloud solutions and optimizing data processing workflows.  - Demonstrate technical leadership by staying abreast of emerging data engineering technologies and implementing industry best practices.  - Provide technical leadership in enabling AI/ML initiatives by designing scalable, reliable, and well-governed data engineering solutions. - Effectively communicate technical concepts to both technical and non-technical stakeholders.  - Promotions to different environments using GitHub CICD with GitHub Actions / Liquibase - Participate in the evaluation and identification of new technologies Minimum Qualifications:  - Deep technical expertise in building and optimizing data pipelines and large-scale processing systems.  - Deep technical expertise with Azure Cloud and Databricks.   - Experience working with cloud solutions and contributing to data modernization efforts.  - Strong programming skills (e.g.,SQL, Python, Pyspark or Scala) for data manipulation and transformation.  - Excellent understanding of data engineering principles, data architecture, and database management.  - Excellent understanding of data modeling concepts and data structures. - Excellent understanding of source to target data mappings. - Strong experience building AI/ML data pipelines in Databricks. - Proficient in leveraging GenAI and agentic frameworks to develop data engineering solutions. - Strong problem-solving skills and attention to detail.  - Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Additional Experience: - Knowledge of healthcare or clinical research industries is a plus.  - Strong technical aptitude and experience with a wide variety of technologies   - Ability to rapidly learn and if required evaluate a new tool or technology.   - Strong verbal & written communication skills   - Demonstrated technical experience.   - Be an innovative thinker.   - Must have a strong customer and quality focus. Education:  - Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Data Science).  This is a remote position based in the United States. Relocation and visa sponsorship are not available. Interested candidates should submit their application through https://www.scri.com/careers/. Applications will be accepted through April 13th, 2026. Please ensure all required materials are included as outlined in the posting. About Sarah Cannon Research Institute Sarah Cannon Research Institute (SCRI) is one of the world’s leading oncology research organizations conducting community-based clinical trials. Focused on advancing therapies for patients over the last three decades, SCRI is a leader in drug development. In 2022, SCRI formed a joint venture with former US Oncology Research to expand clinical trial access across the country. It has conducted more than 750 first-in-human clinical trials since its inception and contributed to pivotal research that has led to the majority of new cancer therapies approved by the FDA today. SCRI’s research network brings together more than 1,300 physicians who are actively enrolling patients into clinical trials at more than 250 locations in 24 states across the U.S. Please click here to learn more about our research offerings. We care about the well-being of the patients and communities we serve, and that starts with caring for our people. That’s why we have a Total Rewards package that includes comprehensive benefits to support physical, mental, and financial well-being. Our Total Rewards offerings serve the different needs of our diverse colleague population and ensure they are the healthiest versions of themselves. For more information regarding benefits through our parent company, McKesson, please click here. As part of Total Rewards, we are proud to offer a competitive compensation package. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: careers.mckesson.com. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will be pivotal in shaping the data infrastructure critical for AI-driven initiatives. By connecting complex datasets with business objectives, you’ll provide the necessary insights that drive strategic decisions on a global scale. This is a prime opportunity for individuals passionate about innovation and who thrive in a dynamic environment. You will get to implement state-of-the-art tools and methodologies, thereby playing an integral part in a transformative journey. - Collaborate closely with business stakeholders to design comprehensive data solutions. - Design, develop, and manage robust data models in Snowflake and Iceberg utilizing dbt and advanced SQL. - Build and maintain data pipelines and CI/CD workflows using Airflow, Python, and Terraform. - Implement data quality measures, testing, and governance practices to uphold data integrity. - Act as Product Owner for your data domains, overseeing entire data product delivery. - Integrate AI capabilities to innovate data infrastructure and democratize analytics. - Establish monitoring frameworks to proactively identify and resolve data issues. Qualifications - 6+ years of experience in Analytics Engineering, Data Engineering or a related field. - Proficient in SQL with a strong background in developing complex data models. - Expertise in Snowflake and familiarity with Open Table Formats like Iceberg. - Hands-on experience with dbt for data transformation and orchestration tools like Airflow. - Proficient in Python for programming and AWS as your cloud platform. - Experience with Infrastructure as Code using Terraform. - Familiarity with AI coding assistants to streamline development tasks. - Strong analytical skills to tackle ambiguous business problems with data. - Excellent communication skills for cross-functional collaboration. - Self-motivated with the ability to manage projects independently. Benefits - Competitive compensation based on experience and qualifications. - Comprehensive health, pharmacy, optical, and dental care benefits. - Paid time off and sick leave. - Short-term and long-term disability coverage. - Life insurance and 401k contribution options. - Opportunities for professional development and training. - A diverse and inclusive workplace culture.

• Design and evolve C&A's enterprise data architecture in a hybrid, multi-cloud environment (on-premises ↔ AWS ↔ Azure ↔ GCP). • Develop data extraction, ingestion, and transformation across the layers of the data lake to be built. • Design integrations between legacy systems and cloud ingestion and processing layers. • Define integration standards between local data centers, on-premises systems, and cloud solutions. • Ensure the architecture is resilient, secure, high-performing, and cost-optimized. • Architect large-scale data pipelines distributed across AWS, Azure, and GCP. • Define and maintain data lifecycles across Bronze, Silver, and Gold layers. • Implement Data Governance, Data Quality policies, and a unified catalog (Lake Formation, Glue Catalog, DataHub, Collibra, or equivalent). • Work with Product, Customer, and Supplier teams to define domains and enterprise models. • Integrate analytics consumption and data science environments across clouds. • Build architectures for real-time and batch consumption. • Guide engineering, analytics, and systems squads in adopting unified architecture patterns for the multi-cloud ecosystem. • Lead POCs, potentially comparative, across AWS, GCP, and Azure. • Support development of data extraction and ingestion.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration and opportunity and this is what you get. Leading edge technology in an industry that's improving the lives of millions. Here, innovation isn't about another gadget, it's about making health care data available wherever and whenever people need it, safely and reliably. There's no room for error. Join us and start doing your life's best work.(sm) Functions may include database architecture, engineering, design, optimization, security, and administration; as well as data modeling, big data development, Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning and other similar roles. Responsibilities may include Platform-as-a-Service and Cloud solution with a focus on data stores and associated eco systems. Duties may include management of design services, providing sizing and configuration assistance, ensuring strict data quality, and performing needs assessments. Analyzes current business practices, processes and procedures as well as identifying future business opportunities for leveraging data storage and retrieval system capabilities. Manages relationships with software and hardware vendors to understand the potential architectural impact of different vendor strategies and data acquisition. May design schemas, write SQL or other data markup scripting and helps to support development of Analytics and Applications that build on top of data. Selects, develops and evaluates personnel to ensure the efficient operation of the function. CareData Platform is a Microsoft Azure commercial cloud-based data platform. We are building the technology and data platform to enable OptumCare to pursue complementary strategies of developing local market focused value-based care arrangements and driving the quadruple aim at a national level. The CareData Platform enables CDOs to easily manage their own data while also providing a mechanism to allow for enterprise-wide aggregation and normalization of data. Our team owns and operates one of the largest data ingestion pipelines feeding the Care Data Platform (CDP). We build and maintain automated data flows that move, reconcile, and validate data from Care Delivery Organizations into the national Snowflake instance. You’ll enjoy the flexibility to telecommute* from anywhere within United States as you take on some tough challenges. Primary Responsibilities: - Maintain, improve, automate, and evaluate data pipelines - Improve data efficiency, reliability and quality - Build high performance - Ensure data integrity - Create and manage data stores at scale - Ensure data governance - security, quality, access and compliance You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years of experience designing, coding and supporting distributed data intensive systems at scale - 5+ years of experience with relational database delivery (ETL, ELT) - 5+ years of experience working within the Software Development Life Cycle (SDLC) - 3+ years of experience with cloud-based data platforms (Google, Azure, or Amazon) - 3+ years of experience in Agile Delivery - 3+ years of experience working with relational databases (Oracle, SQL Server, MYSQL, etc.) Preferred Qualifications: - Undergraduate degree - Experience in DevOps Automation tools (Oozie, Python, etc.) - Experience in delivering Data Platforms - Hands-on experience in full automated testing framework (unit & integration), Cucumber, Spock, Go unit test, Junit - Hands-on experience of big data and streaming frameworks - Kafka, Hadoop, Hive, Spark, HDFS - Hands-on experience on using PAAS like - Kubernetes, OpenShift - Hands-on experience on working on CICD platform and monitoring - namely GitHub, Jenkins, Grafana, Prometheus - Excellent communication skills with ability to describe data / capability stories and explain value to customers *All Telecommuters will be required to adhere to UnitedHealth Group’s Telecommuter Policy. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location, and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups, and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment. #RPO, #GREEN