Location: This position is remote within the United States. About Technology at HugeAt Huge, technology is more than a delivery mechanism; it’s a canvas for experimentation. We don’t just build products; we architect and scale the future of how people connect with digital environments. Our technologists are makers and visionaries who bridge the gap between “what if” and “here it is,” ensuring that every line of code pushes the boundaries of craft and utility. The RoleHuge is looking for a Senior Data Engineer with strong experience in web analytics implementation and data tracking architecture. In this role, you will support the implementation and optimization of analytics frameworks that enable accurate measurement of user behavior across digital platforms. You will work closely with engineering, product, and analytics teams to ensure that tracking systems are properly implemented, scalable, and aligned with business and reporting needs. This role requires hands-on experience with Google Analytics ecosystems and a strong understanding of web data instrumentation. IMPORTANT DISCLOSUREThis is a freelance contract role. Candidates must be available for the full duration of the project and agree to the allocation and hours outlined below before entering the interview process. - Start date: March 16 - End date: May 1 - Allocation: 50% - Total hours: 140 - Candidates must use their own equipment. What You’ll Be Doing - Implement and maintain Google Analytics tracking across web platforms. - Configure and manage event tracking and conversion tracking strategies. - Implement and maintain Google Tag Manager containers and tagging architecture. - Develop and manage DataLayer structures to ensure accurate data capture. - Support GA4 implementation and optimization for web analytics. - Ensure proper web analytics instrumentation for user behavior tracking. - Validate tracking accuracy and collaborate with teams to resolve tracking issues. - Work with engineering and product teams to ensure analytics tracking aligns with platform architecture. - Support the implementation of scalable tracking frameworks for digital products. - Ensure data accuracy for reporting, performance analysis, and decision-making. What We’d Like to See - Strong experience with Google Analytics tagging and implementation. - Hands-on experience with Google Analytics 4 (GA4). - Experience implementing and managing Google Tag Manager (GTM). - Experience configuring event tracking and conversion tracking. - Experience implementing and managing DataLayer structures. - Strong understanding of web analytics instrumentation and user behavior tracking. - Ability to collaborate with cross-functional teams in agile environments. Contract Details - Start date: March 16 - End date: May 1 - Allocation: 50% - Total hours: 140 - This is a freelance contract role. This role is currently not available for hire or work in New Mexico, and Hawaii. About Huge Huge is a design and technology company. We create products and experiences that grow the world’s most ambitious brands. We do this by designing experiences for people, not users, and uncovering new sources of growth by leveraging our creative talent, our proprietary platform LIVE and unlocking the advantages brought to us by emerging technologies. We believe all experiences should be intelligent, shoppable and unique to every brand. Huge’s nearly 1,000 thinkers, tinkerers, makers and creators, have been problem-solving across North America, Europe, and Latin America for over 25 years. Interested? You’ll find more information at www.hugeinc.com. Huge is committed to creating an inclusive employee experience for all. Regardless of race, gender, religion, sexual orientation, age, disability, or if you’re parenting the next generation of innovators, we firmly believe that our work is at its best when everyone feels free to be their most authentic self. Huge is an equal opportunity employer (EOE). We strongly support diversity in the workforce. We are committed to an inclusive, barrier-free recruitment and selection process and work environment. If you are contacted for a job opportunity, please advise us of any accommodation needed to ensure you have access to a fair and equitable process. Any information received relating to accommodation will be addressed confidentially. Workers shall not be required to pay employers’ or agents’ recruitment fees or other related fees for their employment. If any such fees are found to have been paid by workers, such fees shall be repaid to the worker. #LI-POST #LI-Remote The salary range for this position is as listed below. Exactly where a prospective employee will be paid within this range will depend on, among other factors, the actual salary ranges for current and former employees who are either currently filling a similar role or did in the past; the candidate’s depth of experience and qualifications; the level of specialization the role requires; budgetary considerations; the market demand for that role and the local market conditions that exist where the employee will be based. For current Huge employees, tenure will also be a consideration. Wage Disclosure $60—$65 USD

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.