592 jobs found

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Senior Machine Learning Ops Engineer Summary As a Senior Machine Learning Ops Engineer at McKesson, you will be instrumental in building, deploying, and maintaining robust and scalable machine learning systems. You will bridge the gap between data science and operations, ensuring our AI/ML models are seamlessly integrated into production environments, monitored effectively, and continuously optimized to deliver maximum business value. What You'll Do Design, develop, and implement end-to-end MLOps pipelines for the deployment, monitoring, and management of machine learning models in production. Collaborate closely with data scientists to understand model requirements, optimize model performance for production, and ensure efficient model handoffs. Build and maintain automated CI/CD pipelines for ML models, enabling rapid iteration and reliable deployment. Implement robust monitoring, logging, and alerting systems for ML models, tracking performance, data drift, and model decay. Develop and manage scalable infrastructure for ML model training and inference, leveraging cloud platforms (e.g., Azure, AWS, GCP). Ensure the security, reliability, and compliance of ML systems, adhering to industry best practices and McKesson's internal standards. Containerize ML applications and services using Docker and orchestrate deployments with Kubernetes. Evaluate and integrate new MLOps tools and technologies to improve efficiency and capabilities. Provide technical leadership and mentorship to junior engineers, fostering best practices in MLOps. Troubleshoot and resolve complex issues related to ML model deployment, performance, and infrastructure. What You Bring Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field. 5+ years of experience in software engineering, DevOps, or MLOps roles, with a strong focus on machine learning systems. Proficiency in at least one major programming language (e.g., Python, Java, Scala) with extensive experience in Python for ML workflows. Hands-on experience with MLOps platforms and tools (e.g., MLflow, Kubeflow, Sagemaker, Azure ML, Google AI Platform). Strong understanding of machine learning concepts, algorithms, and model lifecycle management. Experience with cloud platforms (Azure, AWS, or GCP) and their ML-related services. Azure experience is a plus. Proficiency with containerization technologies (Docker) and orchestration tools (Kubernetes). Solid understanding of CI/CD principles and experience with tools like Jenkins, GitLab CI, Azure DevOps, etc. Experience with data pipeline tools and technologies (e.g., Apache Spark, Kafka, Airflow). Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Excellent problem-solving skills, with a focus on building scalable and resilient systems. Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams. Minimum Requirements Degree or equivalent and typically requires 7+ years of relevant experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $155,600 - $259,300 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: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Job Title: Senior/Lead Data Scientist Current Need: The ideal candidate will reside in either Irving, TX or Toronto, Canada. The Lead Data Scientist is responsible for driving the full lifecycle of advanced analytics and machine learning solutions-from problem framing and hypothesis design to production deployment and continuous monitoring-delivering measurable business outcomes for McKesson's businesses. This role partners with business stakeholders to translate requirements into technical solutions, ensures robust model governance and performance benchmarking, and pioneers innovative analytical approaches that improve operational efficiency and market competitiveness. The Data Scientist provides deep technical leadership in modern ML methods, including time-series forecasting, optimization, simulation, causal inference, and LLM/NLP where appropriate. In addition, the role works closely with product, engineering, and business teams, champions McKesson's enterprise model development standards, and upholds the company's ILEAD leadership principles. Key Responsibilities Identify opportunities for leveraging company data to drive innovative and scalable machine learning solutions that address complex business challenges. Develop and implement strategies that enhance operational efficiency, automate decision-making, improve customer outcomes, and optimize resource allocation. Apply advanced analytics to evaluate organizational performance, simulate potential impacts of strategic changes, and support initiatives across domains such as predictive modeling, forecasting, classification, recommendation systems, anomaly detection, and NLP/LLM. Develop custom machine learning models and algorithms tailored to business needs. Apply these models to large datasets to generate actionable insights and support strategic decision-making Collaborate with cross-functional teams to deploy, monitor, and maintain ML models in production environments. Ensure scalability, reliability, and compliance with enterprise standards Build and maintain scalable data infrastructure to support both real-time and batch decisioning. Leverage cloud-native tools and platforms to optimize performance and cost Engage with business stakeholders to translate requirements into technical solutions. Provide thought leadership and guidance on analytical approaches and data strategy Ensure model governance, documentation, and performance benchmarking. Maintain compliance with Responsible AI and data privacy standards Build and maintain scalable data systems and infrastructure that empower our business teams to make better decisions Minimum Job Qualifications (Knowledge, Skills, & Abilities): Education/Training - Bachelors in math, statistics, engineering, or another STEM field or equivalent experience and typically requires 10+ years of relevant experience. Less years required if has relevant Master's or Doctorate qualifications. Business Experience - 10+ years of hands-on data science experience delivering models to production with measurable business impact; 4+ years leading projects or small teams as a tech lead. Experience in at least two or more relevant domain (pricing, contracting, demand forecasting, supply-chain optimization, commercial analytics, patient/customer experience). Proven track record working in cross-functional product/engineering environments. Specialized Knowledge/Skills - Supervised/unsupervised learning, time-series, causal methods/experimentation, optimization; familiarity with LLMs/NLP and retrieval-augmented workflows preferred. Expert in Python and SQL; proficiency with PySpark; experience with Azure ML, MLflow, model registries, monitoring/telemetry (e.g., Evidently) and CI/CD. Git, testing, packaging, pipelines; containerization; performance/cost tuning in cloud; observability and on-call patterns for ML services. Feature engineering, working knowledge of healthcare/commercial data sets. Demonstrated adherence to enterprise cybersecurity standards and secure development lifecycle for data/ML. Executive storytelling; ability to translate technical results into decisions and outcomes. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $158,000 - $263,300 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: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to . Join us at McKesson!

Job Duties: Design and build a data warehouse using computingbased data cloud (Snowflake) for machine learning, data analysis, self-serve analytics and reporting needs. Develop Extract, Transform, Load (ETL) pipelines to orchestrate execution of scripts, automate data transformation and loading data into data warehouses. Perform data cleansing, validation, testing and schema design to ensure accuracy and reliability of data insights. Manage and build automated workflows and monitor these pipelines and DAGs (Directed Acyclic Graphs). Identify and work on improvements by automating manual processes to optimize data delivery, re-design infrastructure for more scalability using python & sql. Collaborate with cross-functional teams including data engineers, analysts and data scientists to understand the business logic and needs to create an effective and efficient pipeline and data model. Create ad-hoc report/data visualizations based on user requirements. Participate in ETL flow design reviews and recommend solutions to improve processes. Perform data quality checks and alerting to identify issues and resolve bugs in a timely manner. Participate in source code and design reviews in a software development lifecycle (SDLC) driven environment using technical, functional, and domain knowledge. Identify issues or gaps and suggest improvements to the team processes. Provide support for customer requests for all the products handled by the team. Full-time telecommuting is an option. Minimum Requirements: Masters degree (or its foreign degree equivalent) in Analytics, Data Science, Engineering (any field), or a related quantitative discipline, and six (6) months of experience in the job offered or in any occupation in related field. Special Skill Requirements: 1. Data warehouse design and dimensional modeling 2. Extract, Transform, Load (ETL) 3. SQL 4. Python 5. Data Visualization (Tableau or Power BI) 6. Gitlab 7. Azure 8. PySpark 9. OLAP and OLTP system experience (MySQL Database, Postgres DB, or Snowflake) 10. Machine Learning 11. Data Pipeline - Performance & Scalability Techniques. Any suitable combination of education, training and/or experience is acceptable. Full-time telecommuting is an option. Salary: $177,813.00 - $195,594.00 per annum. Submit resume with references to: Req.# 53.2 at: ATTN: HR,

Senior Data Scientist, Wharton Graduate Division University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and Global Wharton MBA programs. Reporting to the Director of Data Science, this role is instrumental in advancing analytics-driven solutions that enhance the student experience and improve office productivity. This position will lead the enhancement, maintenance, and expansion of Wharton's Course Match registration system-Wharton's MBA registration system that allocates course schedule. As a technically advanced implementation of modern mechanism design, Course Match is central to the MBA academic experience and requires continued refinement and innovation. The Senior Data Scientist will contribute directly to its algorithm and infrastructure integration, with responsibilities spanning optimization tuning, heuristic development (e.g., Tabu Search), performance diagnostics, and production-level feature development. The role demands expertise in mixed-integer programming (MIP), fluency in Python, and the ability to deliver clean, modular, and maintainable production code. The position also plays a strategic role in evaluating and integrating a new optimization engine into Course Match, collaborating with internal stakeholders such as the MBA Program Office, Wharton Computing, and the University Registrar, and engaging with external vendors to ensure system robustness, scalability, and alignment with institutional practices, policies, and priorities. Beyond Course Match, the Senior Data Scientist will contribute to a broader portfolio of academic affairs and data science initiatives, including AI integration, predictive modeling, statistical analysis, machine learning, and analytics infrastructure development. A major focus will be building reusable, scalable, and automated Python-based solutions that enable long-term innovation within the MBA Program Office and Wharton Computing. The ideal candidate brings a strong background in algorithmic systems and applied data science, with a demonstrated ability to manage complex technical projects from ideation through deployment. They will be adept at translating technical insights for diverse audiences, fostering cross-functional collaboration, and providing mentorship and thought leadership to colleagues. Outstanding communication skills and a highly collaborative mindset are essential. This role is a two-year appointment, with the potential for continuation. Job Description Duties Lead development and ownership of Course Match Serve as the primary developer and systems owner for Course Match registration system, including algorithm and infrastructure integration. Algorithmic and performance refinement Design and implement enhancements to Course Match's algorithmic infrastructure, including optimization tuning, performance analysis, heuristic development (e.g., Tabu Search), mixed-integer programming (MIP), and system diagnostics. Internal and external collaboration and system integration Partner with internal stakeholders and external vendors to support the integration of a new optimization engine. Participate in vendor evaluation, architecture planning, and system design discussions to ensure successful deployment and infrastructure integration. Data science project contributions beyond Course Match Contribute to high-impact academic affairs and data science initiatives beyond Course Match, including AI integration, process automation, and machine learning. Build robust Python-based solutions that promote reusability, automation, and scalability. Infrastructure development and automation Develop and maintain analytics infrastructure and automation pipelines to support data workflows across the MBA Program Office and Wharton Computing. Apply best practices in software development, testing, and version control. Qualifications Master's degree and 1-2 years of experience in a quantitative field such as Engineering, Data Science, Computer Science, Operations Research, Mathematics, or a related discipline is required; however, a Master's degree and at least 5 years of relevant experience is strongly preferred. Strong programming proficiency in Python is required, including experience developing modular, well-documented, and production-grade code. Familiarity with version control systems (e.g., Git) and test-driven development is strongly preferred. Demonstrated expertise in algorithmic systems or large-scale computational frameworks, with hands-on experience in one or more of the following: heuristic search methods (e.g., Tabu Search), combinatorial optimization, mixed-integer programming (MIP), or algorithmic market design. Experience working within multi-component software environments and integrating external libraries, APIs, or platforms. Familiarity with systems integration and data engineering practices is preferred. Experience supporting or participating in vendor evaluations or third-party system integrations is strongly preferred. Ability to engage with external vendors on technical system design, performance review, and implementation. Applied experience with core data science methods, including statistical modeling, predictive analytics, and machine learning. Proficiency with tools such as R, SQL, and Power BI is a plus. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $100,000.00 - $140,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: Penn offers generous retirement plans to help you save for your future. Penn's Basic, Matching, and Supplemental retirement plans allow you to save for retirement on a pre-tax or Roth basis. Choose from a wide variety of investment options through TIAA and Vanguard. Time Away from Work: Penn provides you with a substantial amount of time away from work during the course of the year. This allows you to relax, take vacations, attend to personal affairs, recover from illness or injury, spend time with family-whatever your personal needs may be. Long-Term Care Insurance: In partnership with Genworth Financial, Penn offers faculty and staff (and your eligible family members) long-term care insurance to help you cover some of the costs of long-term care services received at home, in the community or in a nursing facility. If you apply when you're newly hired . click apply for full job details

Data Engineer, Penn Wharton Budget Model University Overview The University of Pennsylvania, the largest private employer in Philadelphia, is a world-renowned leader in education, research, and innovation. This historic, Ivy League school consistently ranks among the top 10 universities in the annual U.S. News & World Report survey. Penn has 12 highly-regarded schools that provide opportunities for undergraduate, graduate and continuing education, all influenced by Penn's distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who named Penn one of America's Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access to a range of educational, cultural, and recreational activities. With its historical significance and landmarks, lively cultural offerings, and wide variety of atmospheres, Philadelphia is the perfect place to call home for work and play. The University offers a competitive benefits package that includes excellent healthcare and tuition benefits for employees and their families, generous retirement benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Data Engineer, Penn Wharton Budget Model Job Profile Title Application Developer Senior Job Description Summary Wharton School Overview Founded in 1881 as the world's first collegiate business school, the Wharton School of the University of Pennsylvania is shaping the future of business by incubating ideas, driving insights, and creating leaders who change the world. With campuses in both Philadelphia and San Francisco, Wharton has over 850 staff, a faculty population of more than 235 renowned professors, and 5,000 undergraduate, MBA, executive MBA, and doctoral students. Each year 13,000 professionals from around the world advance their careers through Wharton Executive Education's individual, company-customized, and online programs. More than 104,000 Wharton alumni form a powerful global network of leaders who transform business every day. Wharton is home to a dynamic community of staff, bringing a wide range of skills, experiences, and perspectives. To learn more, visit . The Penn Wharton Budget Model (PWBM) is a non-partisan, research-based initiative that provides analysis to policymakers to assess the effects of policy on budgetary outcomes (government revenues and costs) and various economic variables. PWBM's work is widely cited and has been influential in many key recent policy discussions, including tax reform, budget reconciliation, immigration, Social Security, health care, infrastructure, pre-K education, paid family leave, universal income, and the federal debt. The PWBM team consists of roughly 30 Ph.D. economists, policy analysts, research analysts, software engineers, and developers. PWBM has a unique model - even relative to other scoring entities - that relies on a workflow between data processing, microsimulation (which utilizes large-scale Monte Carlo simulations), dozens of policy modules (including several tax calculators), and a large-scale stochastic macroeconomic overlapping generations (OLG) lifecycle model. An extensive code base, mostly in Python, underlies this workflow, and the model utilizes cutting-edge economic modeling, data science, machine learning, and cloud computing to project policy impacts. The models are frequently updated to reflect the latest economics and empirical research, and many of them require (large) datasets to calibrate them. PWBM is currently building a model automation pipeline to automate the forecasting process. The Data Engineer will be a member of the software engineering team and work closely with PWBM domain experts - economists, policy analysts, and research analysts - responsible for building and calibrating models using large, publicly and privately available datasets. The Data Engineer will design, build, and maintain the data infrastructure with the software engineering team; establish best practices for data ingestion and storage; and coach domain experts to write maintainable extract-transform-load (ETL) code. The Data Engineer will also contribute their expertise and insights to the model automation project to help make the automation pipeline robust to data changes. Position contingent upon funding. Job Description Job Responsibilities The data engineer will work with the software engineering team to design, build, and maintain data infrastructure that houses data obtained from external sources and PWBM model output and enables PWBM and external collaborators easy access to information that is versioned, accurate, and consistent. Establish best practices for data ingestion, storage, and retrieval. Work with PWBM domain experts to implement best practices in extract-transform-load (ETL) code, including producing readable, modular, and testable code. Help the Director of Engineering and Data and domain experts plan future infrastructure development. Mentor junior engineers, research analysts, and graduate students. Perform additional duties as assigned Qualifications Required Skills/Experience: A bachelor's degree in a relevant field, such as computer science, software engineering, statistics, mathematics, or engineering; and 3-5 years of experience; or equivalent. More than 2 years of post-degree experience as a data engineer in a team setting, and familiarity with current cloud data storage options, data modeling, data extraction (e.g., web scraping or using web APIs), automation (e.g., pipelining), and alerting/monitoring with process insights in mind. Demonstrated ability to write readable, modular, and testable code. Experience with modern software engineering best practices (e.g. automated testing, pair programming, and continuous integration). Solid ability to understand mathematical and statistical models. Strong written and verbal communication skills and the ability to collaborate successfully with teammates who have diverse technical backgrounds. The data engineer will work with individuals across a range of technical experience levels, so the candidate should be able to distill their thoughts into non-technical terms. Experience working with LLM-based coding tools. Experience with data frame packages/libraries in any programming language. Solid ability to identify requirements from discussions with domain experts and parse them into smaller stories/tasks. Preferred Skills: Knowledge of Python and pandas. Experience working with survey data or other microdata. Familiarity with major economic and demographic data sources (e.g. Census Bureau, Bureau of Labor Statistics, and Bureau of Economic Analysis). Experience working with data scientists or economists. Formal training in economics, public policy, or in quantitative disciplines such as statistics, engineering, and mathematics. Additional Information Staff positions at the Penn Wharton Budget Model are funded by external gifts and grants. This position is contingent upon both the continued availability of funding sources and the ongoing need for the role. It is an initial two-year term position, with potential renewal at the discretion of the faculty director. The position may be discontinued if funding sources are no longer available, if suitable replacement funding sources are not identified, or if the need for the position ceases to exist. Job Location - City, State Philadelphia, Pennsylvania Department / School Wharton School Pay Range $83,500.00 - $130,000.00 Annual Rate Salary offers are made based on the candidate's qualifications, experience, skills, and education as they directly relate to the requirements of the position, and in alignment with salary ranges based on external market data for the job's level. Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state or local law. Special Requirements Background checks may be required after a conditional job offer is made. Consideration of the background check will be tailored to the requirements of the job. University Benefits Health, Life, and Flexible Spending Accounts: Penn offers comprehensive medical, prescription, behavioral health, dental, vision, and life insurance benefits to protect you and your family's health and welfare. You can also use flexible spending accounts to pay for eligible health care and dependent care expenses with pre-tax dollars. Tuition: Take advantage of Penn's exceptional tuition benefits. You, your spouse, and your dependent children can get tuition assistance here at Penn. Your dependent children are also eligible for tuition assistance at other institutions. Retirement: . click apply for full job details

Network Infrastructure Engr Job ID: 292439 Location: Augusta University Full/Part Time: Full Time Regular/Temporary: About Us Augusta University is Georgia's innovation center for education and health care, training the next generation of innovators, leaders, and healthcare providers in classrooms and clinics on four campuses in Augusta and locations across the state. More than 12,000 students choose Augusta for educational opportunities at the center of Georgia's cybersecurity hub and experiential learning that blends arts and application, humanities, and the health sciences. Augusta is home to Georgia's only public academic health center, where groundbreaking research is creating a healthier, more prosperous Georgia, and world-class clinicians are bringing the medicine of tomorrow to patient care today. Our mission and values make Augusta University an institution like no other. Augusta University's distinct characteristics in education and research include real-world experiences and community engagement, as well as a culture of building community, corporate and government partnerships that address health, security, economic and societal concerns locally and across the state. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found online at Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found online at . Location Augusta University- Our Health Sciences Campus: th Street, Augusta, GA 30912 Our Summerville Campus: 2500 Walton Way, Augusta, GA 30904 College/Department Information The Division of Information Technology's mission at Augusta University is to anticipate and respond effectively to a changing world with agile, innovative, robust and secure services that educate and inspire students, empower clinicians, educators, researchers and administrators, advance learning, discovery and care. Job Summary The Network Infrastructure Engineer role is to ensure the stability and integrity of in-house data, video, voice, and wireless network services. This is achieved by planning, designing, and developing local area networks and wide area networks across the organization. In addition, the position will participate with the installation, monitoring, maintenance, support, and optimization of all network hardware, software, and communication links. This individual will also analyze and resolve network hardware and software problems in a timely and accurate fashion and provide end-user training where required. Duties and responsibilities include: Establishes networking environment by installing, configuring, testing & documenting the equipment/network systems according to the design and specifications. Leads the performance of day-to-day networking tasks to ensure network reliability, availability, and serviceability with minimal interruption. Installing and maintaining firewalls, establishing and maintaining company-wide access policies to the internet. Provides technical support, responds to work orders and tickets from the users, analyzes and solves reported network problems. Performing analysis and collecting data to establish the potential for improvements within the communication networks. Responsibilities OPERATIONAL MANAGEMENT: Configure networks to ensure their smooth and reliable operation for fulfilling business objectives and processes. Monitor network performance and troubleshoot problem areas as needed. Oversee installation, configuration, maintenance, and troubleshooting of end-user workstation hardware, software, and peripheral devices. Ensure network connectivity of all servers, workstations, telephony equipment, fax machines, and other network appliances. Practice network asset management, including maintenance of network component inventory and related documentation and technical specifications information. Monitor and test network performance and provide network performance statistics and reports. Participate in managing all network security solutions. ACQUISITION & DEPLOYMENT: Design and deploy company LANs, WANs, and wireless networks, including servers, routers, switches, UPSs, and other hardware. Design, Implement, and support firewalls, site-to-site VPNs, and remote-access VPNs. Conduct research on network products, services, protocols, and standards to remain abreast of developments in the networking industry. Oversee new and existing equipment, hardware, and software upgrades. Interact and negotiate with vendors, outsourcers, and contractors to secure network products and services. STRATEGY & PLANNING: Collaborate with executive management and department leaders to assess near- and long-term network capacity needs. Create and maintain documentation as it relates to network configuration, network mapping, processes, and service record. Develop, implement and maintain policies, procedures, and associated training plans for network administration, usage, and disaster recovery. OTHER: Perform all other duties as assigned. Required Qualifications Bachelor's degree from an accredited college or university in Computer Science, Engineering, or a related discipline with a minimum of three years of applicable experience administering complex LAN/WAN environments OR Associate's degree from an accredited college or university in a related field of study with a minimum of seven years of relevant work experience. Preferred Qualifications Industry-related experience as a Senior Network Engineer or Network Administrator. Professional certification (e.g. CCNP, CCDP). Solid background in network administration and architecture. In-depth understanding of communication protocols (mainly TCP/IP) and routing protocols (e.g., BGP, OSPF). Familiarity with access control models and network security. Experience with network diagnostic, monitoring, and analysis tools (e.g., SolarWinds network tools). Solid understanding of network operating systems (Cisco IOS). Sharp troubleshooting skills. Ability to work independently. Organizational and mentoring skills. Three to five years' experience designing, implementing, managing, and supporting enterprise-level IP networks that include support of a heterogeneous distributed desktop computing environment required. Proven experience and success with LAN, WAN, and WLAN design and implementation. Proven experience with network capacity planning, network security principles, and general network management best practices. Excellent hardware troubleshooting experience. Extensive application support experience with network monitoring and analysis software. Knowledge, Skills, & Abilities KNOWLEDGE Proficient in Microsoft Office and other computer software/databases. Competence with testing tools and procedures for voice and data circuits. Expert knowledge of core routing and switching design principles, best practices, and related technologies. Working technical knowledge of current network hardware, protocols, and Internet standards, including routers, switches (layer 2/3), firewalls, remote access, DNS, BGP, OSPF, EIGRP, VLAN, QoS, DSL, Frame Relay, and Metro Ethernet. SKILLS Excellent interpersonal, written, and verbal communication skills. ABILITIES Ability to maintain confidentiality. Competence with testing tools and procedures for voice and data circuits. Shift/Salary/Benefits Shift: Days; M-F (Work outside of the standard business hours may be required) Pay Band: B12 Salary: $62,300/annually-$74,880/annually Salary to be commensurate with qualifications of the selected candidate within the established range (generally minimum-midpoint) of the position Recruitment Period: Until Filled Augusta University offers a variety of benefits to full-time benefits-eligible employees and some of our half-time (or more) employees. Benefits that may be elected could include health insurance, dental insurance, life insurance, Teachers Retirement System (or Optional Retirement Plan), as well as earned vacation time, sick leave, and 13 paid holidays. Also, our full-time employees who have been employed with us successfully for more than 6 months can be considered for the Tuition Assistance Program. Consider applying with us today! Conditions of Employment All selected candidates are required to successfully pass a Background Check review prior to starting with Augusta University. If applicable for the specific position based on the duties: the candidate will also need to have a credit check completed for Positions of Trust and or approved departmental Purchase Card usage. Motor vehicle reports are required for positions that are required to drive an Augusta University vehicle. . click apply for full job details

Job Title: Research Engineer (Open Rank) Location: Atlanta, Georgia Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 292707 About Us Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: Students are our top priority. We strive for excellence. We thrive on diversity. We celebrate collaboration. We champion innovation. We safeguard freedom of inquiry and expression. We nurture the wellbeing of our community. We act ethically. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. About the College of Computing at the Georgia Institute of Technology The College of Computing has been a leader in defining modern computing as a paradigm that combines the foundations of theoretical mathematics and information science, the force of invention in computational systems and processes, and interdisciplinary practice that integrates innovation in computing with all facets of life. Today, the college comprises five schools that offer unique academic programs and conduct research specifically related to their concentration areas: Computer Science, Computing Instruction, Cybersecurity and Privacy, Interactive Computing, and Computational Science and Engineering. The Team The Center for Scientific Software Engineering (CSSE) is focused on the development and dissemination of software engineering best practices to accelerate both the quality and pace of scientific discovery at Georgia Tech and throughout the scientific community. Location Atlanta, GA Job Summary The School of Computational Science and Engineering (CSE) at GA Tech is seeking to hire a Research Engineer (Open Rank) to serve as a Product Manager. CSE is enhancing our impact on the Georgia Tech ecosystem through new programs that help students become better Research Software Engineers. With this increased capacity, we will amplify the impact of research conducted by Georgia Tech's scientific community. We are expanding our team of 6 professional software engineers (with varying degrees of industry experience) to include a Product Manager who is excited about working in a highly dynamic and research-oriented environment. This is a hybrid working position. Responsibilities Partner with Georgia Tech faculty to identify areas of scientific research likely to benefit from dedicated Research Software Engineering. Establish goals and requirements to create new functionality that maximize Research Software Engineering contributions. Pair students with Research Software Engineering mentors in the Center for Scientific Software Engineering. Partner with student Research Software Engineers to create development plans that deliver agreed-upon functionality. Monitor the progress of student Research Software Engineers as they embark on established development plans. Refine CSSE team processes to achieve our collective goals more efficiently. Required Qualifications This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty Georgia Tech Faculty Handbook () Research Engineer I Bachelor's degree Research Engineer II Three (3) years of relevant full-time experience after completion of Master's or Five (5) years of relevant full-time experience after completion of Bachelor's or Doctoral Degree Senior Research Engineer Master's degree with seven (7) years of relevant full-time experience after completion of that degree, or Master's degree with nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or Doctoral degree with four (4) years of relevant full-time experience after completion of a Bachelor's degree Principal Research Engineer Master's degree with Eleven (11) years of relevant full-time experience or Doctoral degree with Seven (7) years of relevant full-time experience after completion of a Bachelor's degree One (1) year of relevant full-time experience Experience in Data Science, Network Science, Algorithms, Machine Learning and AI. Preferred Qualifications Bachelor's Degree in Computer Science, Electrical Engineering, a STEM-related field, or equivalent practical experience. Minimum of 4 years of experience in product management. Experience working with open-source software and open-source communities. Experience collaborating with research stakeholders in academic or industry settings. Proven ability to create clear and compelling software specification documents. Experience working closely with software engineers to define feature scope and development estimates. Strong product thinking, with the ability to synthesize information quickly and take decisive action. Empathy for users and experience engaging with customers and stakeholders to understand their needs. Ability to prioritize effectively in environments with limited resources, ambiguity, or competing demands. Strong interpersonal skills and the ability to build positive, collaborative relationships. Clear and compelling communication skills, both verbal and written. Understanding of the software development lifecycle and its various phases. Awareness of opportunities and challenges associated with Generative AI technologies. Contact Information Requests for information may be directed to Dr. Dave Brownell: . USG Core Values The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at . Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at . Equal Employment Opportunity The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics . click apply for full job details

Job Title: Sr Project Manager Project Development and Planning Location: LSC-System Office UP Regular/Temporary: Regular Full/Part Time: Full-Time Job ID: 43506 Commitment to Mission This job carries with it the obligation to uphold the Mission of Lone Star College (LSC) in carrying out the duties of the position. A commitment to positive interpersonal behaviors, professional communication, integrity, leadership, stewardship, respect and accountability to LSC students and employees is essential. Cultural Beliefs One LSC Student Focused Own It Foster Belonging Cultivate Community Choose Learning The Chronicle of Higher Education's "Great Colleges to Work For " is designed to recognize colleges that have been successful in creating great workplaces and to further research and understanding of the factors, dynamics and influences that have the most impact on organizational culture at higher education institutions. Lone Star College has been recognized in multiple categories. Campus Marketing Statement Lone Star College-System Office, University Park Lone Star College offers high-quality, low-cost academic transfer and career training education to 80,000+ students each semester. LSC has been named a 2023 Great Colleges to Work For institution by the Chronicle of Higher Education. LSC consists of eight colleges, seven centers, eight Workforce Centers of Excellence and Lone Star Corporate College. Lone Star College-System Office employees are based at one of two System Office locations; The Woodlands and University Park. Both are the site for multiple administrative departments and system-wide training programs. Location address is 20515 SH 249 (SH 249 and Louetta Road) Houston, Texas . Job Description PURPOSE AND SCOPE: The Senior Project Manager, Project Development and Planning is accountable for the execution of a diverse array of projects, including infrastructure improvements, maintenance, and renovations, throughout the LSCS campuses and facilities. The position places a particular emphasis on the successful completion of numerous substantial projects (>$10M). Ensures that the delivered projects meet the documented program requirements, are completed on time, and within budget by taking responsibility for the overall project management lifecycle. Implements and adheres to Project Management Frameworks to provide leadership and oversee the five critical phases of the project lifecycle: Initiation, Planning, Execution, Monitoring, and Closure. Assistance to the Director of Project Development and Planning in the management of capital improvement, sustainability, and overall project planning may be included in additional responsibilities. ESSENTIAL JOB FUNCTIONS: Provide direct leadership, supervision, and coordination of all resource planning efforts and project plans, consistent with strategic plans, to inform operating and capital decisions. Interpret stakeholder facility needs and develops a project scope that will efficiently meet those needs and fit within the established budget. Coordinates work with peer Sr. Project Managers and Campus Property Services Directors to ensure standardization of service and quality across all buildings and campuses. Regularly update project status by using the project management software. Facilitate the preparation of requests for proposals associated with procuring design/general contractor services. Partner with Business Operations to assist in the preparation of contract documents to ensure the intent of these proposals are being delivered. Maintain clear and consistent communication with stakeholders, including campus leadership, faculty, staff, and vendors, to ensure alignment on project goals, timelines, and expectations. Facilitate the coordination of short- and long-term architectural/engineering plans and programs for the design and alteration of facilities. Collaborates with stakeholders to ensure that project teams are working in unison and maintains communication with the Director of Project Development and Planning, Directors of Property Services, and the consulting team/external project managers throughout the project development process. Control project schedules, recommending changes or modifications as needed. Guarantee that all necessary laws, such as federal, state, and local ADA, safety, and building codes are adhered to. Review project progress and makes recommendations to the Director of Project Development and Planning for improvements and solutions to correct deficiencies. Monitor, administer, and manage project budgets, including pay applications submitted by building contractors, testing laboratories, consulting engineers, and surveying firms. Implement budget controls and performs needs assessments for development and/or revisions of budgets as needed. Ensure that necessary documentation is exchanged between the architect, engineer, or contractor during each phase of construction. Ensure all necessary documentation of the project is collected and uploaded into the project management software and central filing repository. Responsible for other reasonable related duties as assigned KNOWLEDGE, SKILLS, AND ABILITIES: Current knowledge of all Texas Education Code procurement policies and best practices. Strong knowledge of general building safety standards. Ability to multi-task, follow-up, and be results oriented. Apply project management frameworks (such as PMBOK, Lean, or Agile) within the project lifecycle to ensure successful project delivery. Ability to analyze and suggest effective routes to achieve project goals. Ability to utilize computer technology, possess effective technical writing ability, as well as strong communication skills. Ability to develop and manage contracts, budgets, and schedules. Fluent PC computer skills with intimate knowledge of the Microsoft Office suite, project management programs (ie. Procore, Service Now, MS Project) and diagramming software such as Microsoft Visio. Ability to deal with crisis situations that require major decisions involving people, resources, and property. Excellent interpersonal and supervisory skills. PHYSICAL ABILITIES: The work requires some physical exertion, such as long periods of standing; walking over rough, uneven, or rocky surfaces; recurring bending, crouching, stooping, stretching, reaching, or similar activities; or recurring lifting of moderately heavy items. The work may require specific, but common, physical characteristics and abilities, such as above-average agility and dexterity. WORK SCHEDULE AND CONDITIONS: Equipment used includes, PC workstation running on a LAN in a Microsoft Windows environment, calculator, phone, and other general office equipment. Interface with internal and external contacts as needed to carry out the functions of the position. The work involves regular exposure to outdoor elements, and/or regular exposure to hazardous items such as chemicals, toxic or caustic materials, contamination, and electrical hazards. This exposure requires special safety precautions, e.g., working around moving parts, carts, or machines, exposure to contagious diseases or irritant chemicals. Employees may be required to use protective clothing or gear, such as masks, gowns, coats, boots, goggles, gloves, or shields. Must be flexible to work odd hours, nights, weekends, and holidays as required to accommodate project deadlines, emergency repairs, and campus operational needs. May regularly travel to different LSC locations. REQUIRED QUALIFICATIONS: Bachelor's degree and at least 7 years of related experience, or an equivalent combination of education and experience. Experience must include at least 3 years in a management level position. PREFERRED QUALIFICATIONS: Master's degree. Professional Engineer (PE) license or Architect license. Project Management Professional (PMP) certification. Certified Facility Manager. Salary Hiring salary range is $96,107-$110,523 Lone Star College provides a hiring salary range for all posted full-time non-faculty positions. Where your salary offer would fall in that range is determined by your related experience and education. Should you receive an offer of employment from Lone Star College, the resume submitted in the application process will be utilized to calculate your salary offer. The information outlined below will provide the Office of Human Resources everything needed to determine an accurate starting salary. Your resume should provide a complete picture of your work experience. The resume should include the following information for each position listed: Length of time (specific months and years) of employment If the position was full time or part time If the position was paid or unpaid Level of degree completed including date earned. Unofficial transcript for highest earned degree Additionally, any certifications listed as required or preferred in the Lone Star College job description should be included in the resume submitted. Benefits Marketing Statement By joining our top-notch institution, you will enjoy being a part of an organization that offers a supportive, collegial work environment and excellent work/life balance. This includes a full comprehensive and competitive benefits package . click apply for full job details

DIRECTOR OF DATA ANALYTICS, Institutional Research Job Description DIRECTOR OF DATA ANALYTICS, Institutional Research Category Charles River Campus > Professional Job Location BOSTON, MA, United States Tracking Code Posted Date 11/10/2025 Salary Grade Grade 53 Expected Hiring Range Minimum $170,000.00 Expected Hiring Range Maximum $190,000.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, training and internal pay comparison. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Type Full-Time/Regular Boston University Information Services & Technology (IS&T) is seeking applicants with diverse skills and experiences to join our innovative and inclusive community. The Director of Data Analytics is a technically proficient and strategic leader responsible for designing and delivering a sophisticated analytics program that supports data-informed decision-making by senior leadership and central administration at Boston University. This position requires deep technical fluency in Python, SQL, machine learning, and statistical modeling, alongside the ability to translate advanced analyses into actionable institutional insights. The Director delivers high-impact data products including predictive models, statistical analyses, executive dashboards, and scenario simulations to support institutional planning, resource allocation, policy development, and performance assessment. This role is critical in advancing a modern, scalable analytics infrastructure and in developing cutting-edge models that directly inform areas such as enrollment forecasting, student success, and operational optimization. In collaboration with the Data Engineering team and analysts in Analytical Services & Institutional Research, the Director contributes to the University Data Library an integrated resource offering coordinated access to data, reports, and business intelligence tools. The role is essential to enrollment management and institutional forecasting, providing robust, technically sound models and decision frameworks that support the financial sustainability of the university. The Director leads a team of analysts and works across academic and administrative units to foster a culture of advanced analytics and evidence-based planning aligned with Boston University's strategic goals. Responsibilities: Advanced Analytics & Insight Generation: Develop predictive models and machine learning algorithms to support strategic initiatives like student success, enrollment forecasting, and space optimization. Extract actionable insights from complex datasets to inform university-wide decisions. Develop an analytics program that includes evaluation of academic and administrative efforts for potential improvement and growth. Analytics and Data Infrastructure: Build scalable analytics tools, automated reporting and processes, and secure reporting environments. Collaborate across departments to enhance data access, governance, and integration for improved decision-making. Reporting and Insight Delivery: Deliver clear, tailored reports and dashboards for senior leadership, ensuring accuracy and relevance in KPI tracking, benchmarking, and compliance. Leadership and Team Development: Lead and mentor analytics staff, promote best practices in data science, automation, and foster collaboration across academic and administrative units. Stakeholder Engagement: Serve as a liaison to campus and external groups, and champion data literacy among non-technical stakeholders. Required Skills Qualifications: Bachelor's degree in statistics, data science, computer science, applied mathematics, higher education, or a related field. Master's or PhD preferred but not required. 8+ years of progressively responsible experience in data analytics, data science, or institutional research. Advanced proficiency in Python, SQL, and R for data modeling, cleaning, and analysis. Hands-on experience with machine learning frameworks and statistical modeling. Proficiency in data visualization platforms and programming libraries (e.g., Tableau, Power BI). Strong understanding of data engineering practices, including pipeline design, version control, and workflow orchestration. Exceptional communication skills with the ability to articulate complex analyses to non-technical audiences and senior leadership. Demonstrated success leading analytic teams and managing high-impact, cross-departmental projects. Bonus Qualifications: If you do not meet these, you are still encouraged to apply; we value employees with a willingness to learn. Higher education experience is ideal but not required. Demonstrated experience with enrollment management concepts, modelling, and applications. Experience in an R1 university or similarly complex academic institution. Familiarity with higher education data systems (e.g., SIS, HRIS, LMS) and national higher education data sources (e.g., IPEDS, NSF HERD, Common Data Set). Knowledge of higher education policy, strategic planning, or institutional effectiveness frameworks. Knowledge of data governance practices, metadata management, or semantic modeling. Experience with cloud platforms (e.g., AWS, Azure) and modern data stack tools (e.g., dbt, Airflow). Boston University offers an excellent benefits package including: Time Off: In addition to PTO and leave policy, BU employees have a paid intersession break and 13 paid holidays. Retirement: University-funded retirement plan with full vesting after 2 years of eligible service. Tuition Assistance Program: Competitive tuition assistance program for yourself and family members. Check out and for more information! Boston University IS&T invests in our staff and their personal and professional growth. We promote staff learning including lunch and learn sessions, an extensive library of online courses, Fun Advisory Board (FAB) arranges a number of events throughout the year and opportunities to engage with peers at NERCOMP and EDUCAUSE events. If you require a reasonable accommodation in order to complete the employment application process, please contact the Equal Opportunity Office at . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We, at IS&T, appreciate each individual's knowledge, experiences and insights which enhance who we are, and as our DEIA knowledge and practice grows, we will ensure that our Mission, Vision, & Practices remain equitable and welcoming to all. Required Skills Job Location: BOSTON, MA Position Type: Full-Time/Regular Salary Grade: $170,000.00-$190,000.00 To apply, visit Copyright 2025 Inc. All rights reserved. Posted by the FREE value-added recruitment advertising agency jeid-0e0b7071c36c664ea68bd797f239918f

Job ID: 709262BR Date posted: Oct. 29, 2025 Description: THE WORK This senior role fosters collaboration with other senior engineers for the development of advanced data analytics solutions and agile development projects in support of a high-visibility mission. This position involves providing technical leadership and guidance on data analytics and agile development projects, as well as collaborating with cross-functional teams to drive mission objectives. WHO WE ARE At Lockheed Martin, we're a leading aerospace and defense company that's shaping the future of cyber and intelligence. We're committed to innovating at the Edge: Harnessing the latest advancements in cyber, artificial intelligence, and machine learning to stay ahead of emerging threats and opportunities. This Program is seeking a software engineer to parse data products which make information available for Analytic missions. This Program has a robust process to ensure quality of products. The process includes DAT, UAT/SME Validation, Smoke Test, and System Level Test (SLT) prior to deploying products to production. WHO YOU ARE Experience as a Software Engineer with knowledge assisting in the design, development, testing, and debugging of software solutions, with a focus on Linux operating systems. Strong Familiarity with programming languages such as Java. WHY JOIN US Providing ongoing training, mentorship, and development opportunities to help our cyber and intelligence professionals stay at the forefront of their field and achieve their career goals. Competitive and comprehensive benefits package. Rewards and recognition for your hard work. Medical and dental coverage. 401k retirement savings plan. Paid time off for work/life balance. And more Basic Qualifications: Bachelors degree from an accredited college in a related discipline, or equivalent experience/combined education, with 20 years of professional experience. Twenty (20) years' experience as a SWE in programs and contracts of similar scope, type, and complexity is required. Bachelor's degree in Computer Science or related discipline from an accredited college or university is required. Four (4) years of additional SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Demonstrated experience with distributed scale Big Data stores (i.e. Accumulo), Map/Reduce programming model (i.e. Hadoop), Hadoop Distributed File System, and data serialization (i.e. JSON). Experience with programming languages such as Java and scripting languages such as Perl, Python, Bash. TS/ SCI with Poly Desired Skills: • Full-Stack development (Front-end and back-end) • Implement and maintain high availability (HA) and replication strategies. • Implement and maintain PostgresSQL and PostGIS database • AWS Managed Services (i.e. EC2, S3, VPC) • Understanding of CI/CD pipelines (using GitLab) and infrastructure as code (Terraform, AWS CloudFormation). • Experience with containerized environments (Docker, Kubernetes, EKS). • Prometheus, Grafana, or other logging/monitoring tools Clearance Level: TS/SCI w/Poly SP Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 9x80 every other Friday off Pay Rate: The annual base salary range for this position in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $150,800 - $265,880. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: RMS Relocation Available: No Career Area: Software Engineering Type: Task Order/IDIQ Shift: First

"Applicants must be legally authorized to work in the United States. At this time, Daniel Defense is unable to sponsor or support employment-based visas for applicants. Candidates must possess valid work authorization that does not require current or future visa sponsorship in order to be considered for this position." At Daniel Defense Only the Best Build the Best Daniel Defense engineers and manufactures the world's finest weapon systems and accessories. Our mission to "Honor God and Defend Freedom" is accomplished by serving customers and providing top quality solutions to our military, law enforcement and civilians that are seeking premium firearms for home defense, hunting, and sport shooting. As IT Systems Administrator at Daniel Defense, you will support the operation and maintenance of essential IT infrastructure across our manufacturing and business environments. You will work closely with engineers and cross-functional teams to ensure systems are secure, stable, and aligned with organizational needs. This role is ideal for individuals who are eager to grow their career in IT infrastructure while contributing to mission-critical operations in a high-performance manufacturing setting. At Daniel Defense, we are redefining how technology accelerates industrial performance. As a IT Systems Administrator, you'll help keep systems running smoothly, support end users, and gain valuable exposure to complex IT environments including data centers, virtualization, cybersecurity, and automation. Key Responsibilities: • Monitor and maintain Windows and Linux environments and assist in supporting VMware virtualization platforms. • Provide day-to-day support for HP server hardware and assist in managing network devices (e.g., HPE Aruba switches, basic firewall tasks). • Respond to and resolve Service Desk tickets related to systems, user access, hardware, and software. • Assist in system updates, patches, and basic configuration tasks to improve performance and security. • Support Active Directory, Group Policy, and Office 365 administration tasks. • Participate in system health checks, infrastructure monitoring, and alert response to maintain uptime. • Work with IT and manufacturing teams to ensure minimal disruption to production operations. • Document technical procedures, recurring issues, and configuration changes for knowledge sharing. • Assist with routine cybersecurity hygiene such as patching, antivirus monitoring, and access audits. • Maintain a safe, organized, and secure data center environment under guidance from senior staff. • Support project implementation tasks and learn from engineers through hands-on experience. • Responsible for demonstrating commitment to and leadership of environmental health and safety principles, policies and procedures. • Participates in the company's efforts to continuously improve Safety, 6S, Quality, Delivery and Productivity. • Expected to be a contributor to the company standards on high integrity, safety, fair and equitable treatment and a positive work environment • Other responsibilities as deemed appropriate or necessary by management. Knowledge, Skills and Abilities: Required • Associate's or Bachelor's degree in Information Technology or related field, or equivalent combination of education and experience to successfully perform the responsibilities of this role. • 1-3 years of IT support or systems administration experience, preferably in a Windows or hybrid environment. • Basic understanding of virtualization, networking concepts, and server infrastructure. • Experience supporting end users through ticketing systems and remote support tools. • Familiarity with Office 365 administration and Microsoft Active Directory. • Ability to learn quickly and take direction in a fast-paced, production-critical environment. • Demonstrated ability to recognize and work in accordance with our Company Values. • Strong troubleshooting, communication, and documentation skills. • Demonstrated commitment to professionalism, integrity, and continuous learning. • Ability to participate in 24x7 on-call rotation. • Travel requirements: Up to 10% of the year; air travel may be necessary. Preferred • Exposure to or interest in VMware, Palo Alto firewalls, cloud platforms (Azure, AWS), or scripting (PowerShell). • Experience working in a manufacturing, warehousing, or industrial IT setting. • Basic understanding of cybersecurity principles or regulatory frameworks (e.g., CMMC, NIST). • Willingness to pursue industry certifications (e.g., CompTIA, Microsoft, VMware, Cisco). Physical Requirements: • Must be able to lift and carry awkward items weighing up to 50 pounds. • Requires intermittent standing, walking, sitting and bending throughout the work day. • Must be able to work in a manufacturing environment, to include working in and around machinery, exposure to noise and chemicals, lights/lasers, etc. • Must be able to wear appropriate Personal Protection Equipment as required by your position and/or Company policy. Daniel Defense is an EOE AA M/F/Vet/Disability employer and promotes a "Drug Free Workplace". Note: The statements above are intended to describe the general nature and level of work being performed by those assigned to the job. This list is not intended to be an exhaustive list of responsibilities, duties and skills required of personnel in this job. Responsibilities are subject to change at the discretion of the employer and do not establish a contract of employment - Daniel Defense is an at will employer. PI718fec334db9-1381

"Applicants must be legally authorized to work in the United States. At this time, Daniel Defense is unable to sponsor or support employment-based visas for applicants. Candidates must possess valid work authorization that does not require current or future visa sponsorship in order to be considered for this position." At Daniel Defense Only the Best Build the Best Daniel Defense engineers and manufactures the world's finest weapon systems and accessories. Our mission to "Honor God and Defend Freedom" is accomplished by serving customers and providing top quality solutions to our military, law enforcement and civilians that are seeking premium firearms for home defense, hunting, and sport shooting. As IT Systems Administrator at Daniel Defense, you will support the operation and maintenance of essential IT infrastructure across our manufacturing and business environments. You will work closely with engineers and cross-functional teams to ensure systems are secure, stable, and aligned with organizational needs. This role is ideal for individuals who are eager to grow their career in IT infrastructure while contributing to mission-critical operations in a high-performance manufacturing setting. At Daniel Defense, we are redefining how technology accelerates industrial performance. As a IT Systems Administrator, you'll help keep systems running smoothly, support end users, and gain valuable exposure to complex IT environments including data centers, virtualization, cybersecurity, and automation. Key Responsibilities: • Monitor and maintain Windows and Linux environments and assist in supporting VMware virtualization platforms. • Provide day-to-day support for HP server hardware and assist in managing network devices (e.g., HPE Aruba switches, basic firewall tasks). • Respond to and resolve Service Desk tickets related to systems, user access, hardware, and software. • Assist in system updates, patches, and basic configuration tasks to improve performance and security. • Support Active Directory, Group Policy, and Office 365 administration tasks. • Participate in system health checks, infrastructure monitoring, and alert response to maintain uptime. • Work with IT and manufacturing teams to ensure minimal disruption to production operations. • Document technical procedures, recurring issues, and configuration changes for knowledge sharing. • Assist with routine cybersecurity hygiene such as patching, antivirus monitoring, and access audits. • Maintain a safe, organized, and secure data center environment under guidance from senior staff. • Support project implementation tasks and learn from engineers through hands-on experience. • Responsible for demonstrating commitment to and leadership of environmental health and safety principles, policies and procedures. • Participates in the company's efforts to continuously improve Safety, 6S, Quality, Delivery and Productivity. • Expected to be a contributor to the company standards on high integrity, safety, fair and equitable treatment and a positive work environment • Other responsibilities as deemed appropriate or necessary by management. Knowledge, Skills and Abilities: Required • Associate's or Bachelor's degree in Information Technology or related field, or equivalent combination of education and experience to successfully perform the responsibilities of this role. • 1-3 years of IT support or systems administration experience, preferably in a Windows or hybrid environment. • Basic understanding of virtualization, networking concepts, and server infrastructure. • Experience supporting end users through ticketing systems and remote support tools. • Familiarity with Office 365 administration and Microsoft Active Directory. • Ability to learn quickly and take direction in a fast-paced, production-critical environment. • Demonstrated ability to recognize and work in accordance with our Company Values. • Strong troubleshooting, communication, and documentation skills. • Demonstrated commitment to professionalism, integrity, and continuous learning. • Ability to participate in 24x7 on-call rotation. • Travel requirements: Up to 10% of the year; air travel may be necessary. Preferred • Exposure to or interest in VMware, Palo Alto firewalls, cloud platforms (Azure, AWS), or scripting (PowerShell). • Experience working in a manufacturing, warehousing, or industrial IT setting. • Basic understanding of cybersecurity principles or regulatory frameworks (e.g., CMMC, NIST). • Willingness to pursue industry certifications (e.g., CompTIA, Microsoft, VMware, Cisco). Physical Requirements: • Must be able to lift and carry awkward items weighing up to 50 pounds. • Requires intermittent standing, walking, sitting and bending throughout the work day. • Must be able to work in a manufacturing environment, to include working in and around machinery, exposure to noise and chemicals, lights/lasers, etc. • Must be able to wear appropriate Personal Protection Equipment as required by your position and/or Company policy. Daniel Defense is an EOE AA M/F/Vet/Disability employer and promotes a "Drug Free Workplace". Note: The statements above are intended to describe the general nature and level of work being performed by those assigned to the job. This list is not intended to be an exhaustive list of responsibilities, duties and skills required of personnel in this job. Responsibilities are subject to change at the discretion of the employer and do not establish a contract of employment - Daniel Defense is an at will employer. PI28232c9a915c-1381