Headquartered in Dublin, OH, Cardinal Health is a global healthcare services and products company. We provide customized solutions for hospitals, healthcare systems, pharmacies, ambulatory surgery centers, clinical laboratories, physician offices and patients in the home. We are a distributor of pharmaceuticals and specialty products; a global manufacturer and distributor of medical and laboratory products; an operator of nuclear pharmacies and manufacturing facilities; and a provider of performance and data solutions. Working to be healthcare’s most trusted partner, our customer-centric focus drives continuous improvement and leads to innovative solutions that improve the lives of people every day. Specialty Networks is an integrated, multi-specialty organization with GPOs, Life Sciences, and Research solutions in Urology, Gastroenterology, and Rheumatology. Specialty Networks solutions include population health management, patient engagement, clinical research, and workflow automation technologies to achieve Center of Excellence status in Standards of Care, Clinical Research, Practice Operations, and Value-based Care. Specialty Networks leverages the Power of its Network, represented by over 10,000 providers, to help independent physician practices, industry, wholesalers/distributors, payers, and policymakers improve patient outcomes. Job Summary The Sr. Analyst, Data Engineering plays a critical role in enabling data-driven decision-making across Specialty Networks Solutions. This role partners closely with the Real-World Evidence (RWE) team and Business Development stakeholders to design, build, and maintain analytical data assets and dashboards that support feasibility assessments, insights generation, and strategic growth initiatives. The analyst will leverage analytics technologies including SQL, Python and R to create scalable analytic datasets and deliver actionable insights. Responsibilities - Partner with RWE and Business Development teams to understand analytical requirements and translate business questions into scalable data solutions - Design, build, and maintain Analytical Data Bases (ADBs) using SQL and Python to support RWE initiatives. - Conduct exploratory data analysis to identify trends, patterns, and opportunities within specialty healthcare data - Support ad hoc and recurring analytical requests related to RWE studies, customer opportunities, and network growth - Collaborate with data engineering, product, and analytics teams to improve data availability and analytics best practices - Document data models, business logic, and dashboard definitions to support transparency and reuse Qualifications - Bachelor’s degree in Data Analytics, Computer Science or a related field, or equivalent work experience preferred - 2+ years of experience in a data analyst or analytics role, preferred - Strong proficiency in SQL for querying and transforming large datasets - Hands-on experience with Databricks or similar big data analytics platforms preferred - Working knowledge of Python and/or R for data analysis - Ability to translate complex analytical findings into clear business insights - Strong attention to detail and commitment to data quality - Strong stakeholder engagement and communication skills - Experience supporting Real-World Evidence (RWE), healthcare analytics, or life sciences data preferred - Familiarity with healthcare and EMR data highly preferred - Experience working in a cloud-based data ecosystem (e.g., Azure, GCP) preferred - Experience developing dashboards and visual analytics using BI Tools (Tableau, PowerBI, etc) preferred - Knowledge of data modeling concepts and analytical best practices Location: This position is remote and can be based anywhere within the United States. Candidates must be able to work within EST or CST business hours. Anticipated salary range: $80,500 - $103,400 Bonus eligible: No Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being. - Medical, dental and vision coverage - Paid time off plan - Health savings account (HSA) - 401k savings plan - Access to wages before pay day with myFlexPay - Flexible spending accounts (FSAs) - Short- and long-term disability coverage - Work-Life resources - Paid parental leave - Healthy lifestyle programs Application window anticipated to close: 03/13/2026 *if interested in opportunity, please submit application as soon as possible. ** The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate’s geographical location, relevant education, experience and skills and an evaluation of internal pay equity. Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply. Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. To read and review this privacy notice click here

Job Description Summary Organization's Summary Statement: The A. James Clark School of Engineering at the University of Maryland serves as the catalyst for high-quality research, innovation, and learning, delivering on a promise that all graduates will leave ready to impact the Grand Challenges (e.g., energy, environment, security, and human health) of the 21st century. The Clark School is dedicated to leading and transforming the engineering discipline and profession, to accelerating entrepreneurship, and to transforming research and learning activities into new innovations that benefit millions. The Center for Advanced Transportation Technology (CATT) Laboratory is the industry leader for transportation information analysis, visualization, and user interface design. We provide cutting-edge analytics products and an integrated suite of situational awareness tools for transportation practitioners. These products and services are rapidly changing the way governments operate and make decisions. You can learn more about our products at https://ritis.org/. We receive hundreds of gigabytes of transportation data daily, making our petabytes of archived data likely the largest collection of traffic data in the world. Our clients use our software to monitor real-time operations and analyze historical data to generate valuable insights. Our work saves taxpayers money, improves the environment, and saves lives! We’re as passionate about transportation as we are about building great software. We care about building usable, stable, and secure software to analyze massive amounts of data. We use cutting-edge tech to build and maintain our software. We have a mature development process and use industry best practices to build the best software possible. Our team is composed of application developers, analysts, UX designers, data scientists, IT, quality assurance specialists, and customer support operating in an Agile environment. Our office is in College Park near the University of Maryland, easily accessible by DC Metro, MARC train, bus, car, and bike. Local employees are welcome to work in our office, or other locations, with a flexible schedule around our core hours. We also have many employees who are fully remote and work from different states. UMD requires all employees to live in the US, and we periodically bring remote employees to work with colleagues on-site. We believe varied perspectives build better products, are proud to have a diverse team, and encourage people of all backgrounds to apply. When you join our team, you will work to define, document, and test a wide variety of transportation data analytics and operations applications. You will learn new skills and stay current with industry best practices and emerging technologies. Position Summary The CATT Lab is seeking an experienced data engineer to architect and deliver advanced technical solutions to complex transportation data problems. This individual will lead cross functional developers to design and implement large-scale data processing pipelines. They will design geospatial data processing solutions for critical infrastructure planning and operations managers. If you’re looking for complex data problems in the GIS domain to collaboratively solve with a brilliant research and development team, please apply! Essential duties and responsibilities: ● Design, develop, deploy, and manage data storage and processing solutions. ● Develop data models and schemas for new data sources for both relational and non-relational distributed platforms. ● Write and maintain data pipelines to ingest large datasets from APIs and cloud storage to local storage instances. ● Write data retrieval, statistical calculation, and geospatial analysis queries and stored procedures. ● Assist with analysis and discovery of new datasets for integration into existing internal platforms. ● Collaborate with data platform team to optimize data processing pipeline performance. ● Estimate effort for work tasks and report on work progress to the technical team lead. ● Participate in our Tier II Support team rotation Minimum Qualifications Education: Doctoral Degree in Computer Science or Engineering. Experience: 20+ years experience architecting and leading the implementation of complex, high demand and volume data platform solutions. 10+ years experience in a principal or lead role, contributing directly to enterprise data services and product development. 5+ years experience in a technical team leadership role, mentoring less experienced developers in delivering robust, performant data features. Experience writing ETL scripts, APIs and standalone applications in both Python and Java with advanced knowledge of SQL. Knowledge, Skills, and Abilities: Experience designing and implementing large-scale data processing pipelines and analytics systems using Apache Spark and Apache Beam. Experience with data analytics, investigating new data sources and architecting storage and compute solutions that maximize the value of the dataset. Familiarity with data science best practices. Knowledge of frontend user interface design and development, including REACT, typescript and javascript. Ability to architect a full stack feature including backend and frontend development. Strong communication skills; ability to present technical plans to a non-technical audience efficiently. Preferences Experience with non-relational data storage and processing solutions like Cassandra, Hadoop, Spark, Iceberg, Sedona etc. Experience working with geospatial datasets, using geospatial extensions (such as PostGIS) and querying features. Experience with Linux (RHEL), including writing robust Bash scripts. Experience architecting and implementing backup and recovery strategies. Experience with Git, Jira, Confluence, and Bitbucket. Experience with cloud platforms including AWS and GCP. Physical Demands: Sedentary work performed in an office environment. Regularly required to communicate and exchange information and to use technology/devices. Position can be 100% remote (US based only) Licenses/ Certifications: NA Additional Job Details Required Application Materials: - CV/Resume - References upon request. - Professional Statement-required upon completion of the interview process and before an offer - 3 External Letters-required upon completion of the interview process and before an offer Best Consideration Date: N/A Posting Close Date: 04/17/2026 Open Until Filled: NO Financial Disclosure Required NoFor more information on Financial Disclosure, please visit Maryland's State Ethics Commission website. Department ENGR-Civil-Center for Advanced Transportation Technology Worker Sub-Type Faculty Regular Salary Range $165,000-$177,968.79 Benefits Summary For more information on Regular Faculty benefits, select this link. Background Checks Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed. Employment Eligibility The successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment. EEO Statement The University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy. Title IX Non-Discrimination Notice Resources - Learn how military skills translate to civilian opportunities with O*Net Online Search Firm Managed Recruitment There are some positions that are not advertised on this career site as the search is being managed by a Search Firm. Please visit the link below to see these available opportunities: Search Firm Managed Vacancies

Overview CommIT Enterprises, Inc. is seeking a highly skilled Lead Data Engineer to join a team in Charleston, SC, but this role can be REMOTE, to design, develop, and maintain advanced data ingestion pipelines and models that support the United States Marine Corps (USMC) logistics situational awareness and decision-making. This role requires expertise in ETL/ELT processes, CI/CD pipeline development, and data modeling to ensure reliable, scalable, and secure data solutions. This role directly supports the USMC by enabling data-driven situational awareness, ensuring leaders have timely, accurate, and actionable insights to inform operational decisions. Established in 2001, CommIT is a Certified Veteran-Owned Small Business (CVOSB) providing innovative technical engineering and data science services. Our enterprise systems support includes the Department of Defense’s (DoD) GCSS-MC, CAC2S, TBMCS-MC, and the Department of Veteran’s Affairs’ (VA) telehealth communications. We offer acquisition management, systems engineering, Agile software development, cloud management, IT modernization, data analytics, cybersecurity, and training, including leading-edge DevSecOps, automated testing, and mobile application development. Responsibilities Your essential job functions will include but may not be limited to- - Lead the design, development, and maintenance of CI/CD pipelines that enable ingestion teams to seamlessly move ETL/ELT processes through Development, Testing, and Production environments. - Build and optimize ETL/ELT workflows to ingest, validate, and transform data from diverse sources. - Apply data modeling techniques to create Silver and Gold Tier data assets that enhance situational awareness and support decision-making. - Collaborate with cross-functional teams to ensure data pipelines and models align with operational requirements and reporting needs. - Drive best practices in data engineering, automation, and pipeline reliability to support mission-critical analytics. Qualifications Required Experience and Education: - Master’s degree with 6 years of experience (or Bachelors with 8 years of experience) in Computer Science, Software Engineering, Computer Engineering, Mathematics or relevant field. Degree may be substituted with additional relevant industry experience and / or industry accepted training and certification. - 5+ years of experience in data engineering with a focus on ETL/ELT and CI/CD. - Hands-on experience with Databricks, Delta Lake, and GitLab Enterprise. - Strong proficiency in Python and SQL. - Experience supporting logistics, defense, or mission-critical environments is a plus. - Proven experience with ETL and ELT processes for ingesting structured, semi-structured, and unstructured data sources. - Deep understanding of CI/CD practices, with the ability to design and implement pipelines using Databricks and GitLab Enterprise for Data Ingestion teams. - Strong background in data modeling, with the ability to build Silver and Gold Tier Tables and Views to support operational dashboards and reporting. Technical Requirements: - ETL and ELT methods - Databricks and Delta Tables - Python and SQL programming - CI/CD pipeline development and automation - GitLab Enterprise for version control and deployment Security Requirements: - Secret Clearance - Security+ Certification Equal Opportunity Employer: CommIT Enterprises, Inc. is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

As a Senior Data Platform Engineer II, you will architect and manage the high-performance, distributed data environments that power our healthcare analytics. You will move beyond traditional maintenance to ensure our Databricks Lakehouse and Snowflake environments scale indefinitely. You will be responsible for the health, optimization, and security of our data platforms, making complex data accessible and expressive for web applications and AI. Primary Duties: - Develop and implement scalable and performant solutions. - Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes. - Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work. Minimum Qualifications: - BS/BTech (or higher) in Computer Science, Engineering or a related field or equivalent experience. - 6+ years experience as an engineer building and optimizing highly scalable distributed data systems (e.g., Databricks, Spark, or Snowflake). - 3+ years of experience working with SQL and data modeling on large multi-table data sets. - 3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value. - 3+ years of experience coaching other engineers. Preferred KSA’s: - Platform & Infrastructure (The "Databricks/Cloud" Core) - Databricks & Lakehouse Architecture: Deep expertise in managing Databricks workspaces, including Unity Catalog for data governance, lineage, and fine-grained access control. - Infrastructure as Code (IaC): Advanced proficiency with Terraform (or similar) to automate the provisioning and scaling of Databricks clusters, cloud resources (AWS preferred), and networking. - Snowflake Proficiency (Nice-to-Have): Experience managing Snowflake environments, specifically focusing on warehouse cost optimization, security integration, and secure data sharing. - Modern Database Internals: In-depth knowledge of distributed systems, including partitioning, liquid clustering/Z-Ordering, sharding, and high-availability strategies for petabyte-scale data. Performance, Reliability & DevOps - Observability & Optimization: Proven track record in performance monitoring and query tuning for distributed workloads to ensure system reliability and cost-efficiency. - Data Engineering Lifecycle: Experience designing and optimizing high-throughput ETL/ELT pipelines and ingestion systems (batch and streaming) using Spark. - Deployment & Orchestration: Experience building robust CI/CD pipelines for data infrastructure and deploying services using containerization (Docker, Kubernetes). Security, Compliance & Domain Knowledge - Sensitive Data Handling: Expertise in building systems that handle protected information, with specific experience in HIPAA and SOX compliance frameworks. - Healthcare Data Expertise: Experience navigating health-tech data complexities, such as Electronic Health Records (EHR), clinical data formats (HL7/FHIR), and claims data. Physical Requirements: - Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.