Working Title: Data Engineer State Role Title: Information Technology Specialist III Position Type: Full-time Staff (Classified) Position Status: Full-Time FLSA Status: Exempt: Not Eligible for Overtime College/Division: Information Technology Department: 100328 - Information Technology Pay Band: 6 Pay Rate: Maximum Starting Specify Range or Amount: 95,000 Is this a JMU only position? No Is this a grant-funded position? No Is this a Conflict of Interest designated position? No Beginning Review Date: March 25, 2026 About JMU: Mission We are a community committed to preparing students to be educated and enlightened citizens who lead productive and meaningful lives. Vision To be the national model for the engaged university: engaged with ideas and the world. Who We Are Situated in the heart of Virginia’s beautiful Shenandoah Valley, the city of Harrisonburg is a vibrant community with a population of approximately 52,000. Harrisonburg is conveniently located approximately 120 miles from Washington, D.C. and Richmond, VA. JMU is a selective, public institution with a growing national reputation for offering experiences that lead to an outstanding education and supportive environment for students, faculty and staff. The student body includes approximately 21,000 undergraduate and 1,800 graduate students, with over 1,000 full-time instructional faculty. JMU offers thriving programs in the liberal arts, science and technology, and professional disciplines at the undergraduate, master’s and doctoral levels. JMU has achieved national recognition for the high quality of its academic programs, focus on maintaining strong student/faculty interaction, and innovative faculty research. General Information: Information Technology (IT) at James Madison University, in collaboration with Student Success Analytics (SSA), is accepting applications for a Data Engineer as part of its work toward leveraging data and technology for improving student success and retention. This position reports to the Infrastructure and Database Services Manager in IT and will primarily be working with SSA supporting their strategic vision to achieve the highest level of data maturity that maximizes success outcomes for all students. The Data Engineer designs, builds, and maintains secure, reliable, and scalable data infrastructure that enables high-quality analytics, reporting, and decision-making across the university. This position serves as a technical bridge between operational systems, enterprise databases, and the future data warehouse, supporting SSA, IT, and campus stakeholders. This position is telework eligible. Duties and Responsibilities: Data Collection, Integration, and ETL • Design, develop, test, and maintain ETL/ELT pipelines to extract, transform, and load data from enterprise systems, CRM platforms, and external data sources. • Build and support infrastructure for efficient data ingestion using SQL Server and cloud-based technologies. • Develop repeatable and automated processes to support mandated federal, state, and institutional reporting. Data Processing, Quality, and Governance • Clean, validate, reconcile, and transform data to ensure accuracy, consistency, security, and integrity. • Identify, troubleshoot, and resolve data discrepancies, anomalies, and performance issues. • Apply and promote best practices related to data governance, documentation, privacy, security, and ethics. Analytics, Reporting, and Visualization Enablement • Collaborate with SSA analysts, data scientists, and functional partners to support complex analyses and reporting needs. • Develop and maintain data tables, views, and semantic layers that support dashboards and analytics tools. • Support the effective use of visualization platforms (e.g., Tableau) to improve data access and decision-making. Data Management and Infrastructure Support • Manage, optimize, and support the SSA SQL Server database, related data storage solutions, and the future data warehouse. • Assist with performance tuning, query optimization, database upgrades, patches, backups, and recovery in collaboration with IT colleagues. • Contribute to the design, implementation, and ongoing improvement of the university’s data warehouse or data lake environment. Collaboration, Consultation, and Service to the University • Partner with Student Success Analytics, IT, and campus stakeholders to understand data needs and recommend appropriate technical solutions. • Participate in cross-functional projects and working groups related to data, analytics, and reporting. • Communicate technical concepts and data limitations clearly to technical and non-technical audiences. Documentation and Continuous Improvement • Create and maintain technical documentation, data dictionaries, data maps, and process documentation. • Identify opportunities to improve data workflows, automation, and system performance. • Stay informed on emerging data engineering tools, technologies, and best practices. Qualifications: Required Qualifications • A background in Computer Science, Information Systems, Data Science, Statistics, or a related field. • Relevant professional experience in data engineering, data management, or data analytics. • Strong proficiency in SQL, including complex queries, views, and stored procedures. • Experience with Microsoft SQL Server technologies, including SQL Server Management Studio (SSMS) and SQL Server Integration Services (SSIS). • Understanding of relational databases, data modeling, and data warehousing concepts. • Demonstrated experience supporting data pipelines, ETL processes, or analytics platforms. • Ability to communicate complex technical concepts clearly to technical and non-technical audiences. • Knowledge of and commitment to data privacy, security, and ethical data practices. Additional Considerations • Experience working in a higher education environment. • Experience building or supporting a data warehouse or data lake. • Experience automating and optimizing ETL processes. • Working knowledge of data governance and data literacy practices. • Experience designing or supporting dashboards and visualizations using Tableau. • Exposure to cloud-based data platforms or big data technologies. Additional Posting Information: JMU’s Dual Career and Community Resources Program is available for candidates that will be relocating to the area. For more information, please visit https://bit.ly/2OTF1NG. Conditions of Employment: Employment is contingent upon the successful completion of a criminal background check. E-Verify Notice: After accepting employment, new hires are required to complete an I-9 form and present documentation of their identity and eligibility to work in the United States. James Madison University uses the E-Verify system to confirm identity and work authorization. EEO Statement: James Madison University is committed to creating and supporting a diverse and inclusive work and educational community that is free of all forms of discrimination. This institution does not tolerate discrimination or harassment on the basis of age, color, disability, gender identity or expression, genetic information, national origin, parental status, political affiliation, race, religion, sex, sexual orientation or veteran status. We promote access, inclusion and diversity for all students, faculty, staff, constituents and programs, believing that these qualities are foundational components of an outstanding education in keeping with our mission. The university is interested in candidates whose experience and qualifications support an ongoing commitment to this core quality. Anyone having questions concerning discrimination should contact the Office for Equal Opportunity: (540) 568-6991. Reasonable Accommodation: If you are an individual with a disability and need assistance searching or applying for jobs please contact us at (540) 568-3597 or jobs@jmu.edu. You may also visit the JMU Human Resource Office, located at 752 Ott Street, Harrisonburg, VA 22807 and we will be happy to assist you.

Company Description Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Working in partnership makes it possible to deliver the world’s most impactful projects and programs as we turn challenge into opportunity and complexity into success. Our capabilities include program, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world’s largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier program, project and cost management offering in markets around the world. Job Description Turner & Townsend is seeking a Cost Estimator to support estimating and cost management services for a high‑profile client’s large‑scale, multi‑billion‑dollar data center construction portfolio. This role contributes to multi‑building campus developments, new greenfield facilities, and major expansion efforts within a single, complex program of work. Preference is for the position to be based in the San Francisco Bay Area, however, remote work is supported. The role requires strong estimating capability, the ability to operate effectively within large, fast‑moving construction environments, and experience supporting multi‑phase delivery across major capital projects. Responsibilities - Prepare detailed construction estimates and cost plans across all project stages (concept, schematic, design development, and detailed design). - Perform quantity takeoffs and cost checks for complex, multi‑package scopes. - Support bid reviews by analyzing contractor proposals, performing comparative assessments, and preparing recommendations. - Contribute to benchmarking efforts by maintaining and applying cost data and historical metrics across the broader program. - Participate in value engineering (VE) workshops and help identify practical cost‑optimization opportunities. - Assist with feasibility studies and early‑stage cost modeling activities. - Maintain strong communication with clients, contractors, and design teams to ensure clarity of scope, assumptions, and basis of estimate. - Assist with preparation of procurement and tender documentation. - Support procurement activities including prequalification, bid list development, bid analysis, tender reporting, and contract documentation. - Collaborate with internal cost management teams to support alignment between estimating, procurement, and program‑level cost planning. - SOX control responsibilities may be part of this role and must be adhered to where applicable. Qualifications - Bachelor’s degree in Construction Management, Quantity Surveying, Engineering, or a related technical field. - Minimum 3–5 years of experience preparing estimates for large-scale construction programs. - Experience with large‑scale construction projects; mission‑critical or data center experience strongly preferred. - Strong understanding of construction cost fundamentals, quantity takeoff, and general building systems. - Familiarity with CSA scopes, with some exposure to MEP cost components beneficial. - Understanding of construction procurement methods and commercial contract structures. - Experience contributing to value engineering, feasibility assessments, or design/cost optimization discussions. - Excellent analytical, written, and verbal communication skills, including client‑facing presentation capabilities. - Highly organized and able to manage multiple priorities in a collaborative project environment. - Hands‑on experience with CostX (2D/3D takeoff, assemblies, and workbooks) is advantageous. - Proficiency in Microsoft Office; experience with estimating/technical tools such as AutoCAD, or Navisworks preferred. - RICS accreditation or progress toward certification is a plus. Additional Information *On-site presence and requirements may change depending on our client's needs. The salary range for this role is $100,000K-$140,000 USD. This range reflects the company's good faith estimate of the base salary for this position at the time of the posting. Final compensation will be determined based on factors including experience, skills, qualifications, and internal equity. In addition to base salary, employees may be eligible for bonuses and a comprehensive benefits package. Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at www.turnerandtownsend.com/ and https://www.heery.com/ All your information will be kept confidential according to EEO guidelines. Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review. - Department: Real estate - Compensation: up to USD 140000 - yearly

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems. This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement — you will have a direct hand in shaping the tools, processes, and architecture that power our data platform. Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities - Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems. - Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability. - Implement and maintain row-level and column-level security policies to protect sensitive healthcare data. - Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud. - Build and maintain data transformations using dbt. - Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows. - Mentor peers and contribute to engineering best practices, code reviews, and documentation. - Learn and adopt Sigma as the organization’s BI and reporting tool. Required Skills and Qualifications - Bachelor’s degree in Computer Science, Data Engineering, or related field, or equivalent experience. - 10+ years of experience in data engineering, ETL development, and data warehouse modeling. - Proven hands-on experience with Snowflake, including architecture, optimization, and security. - Strong proficiency in SQL and Python. - Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma). - Experience with dbt and Azure Data Factory. - Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices. - Experience implementing row-level and/or column-level security in a data warehouse environment. - Strong self-management skills with the ability to work independently in a fully remote environment. Preferred Qualifications - Experience with healthcare claims, eligibility, or related payer/TPA data. - Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms. - Familiarity with Sigma. - Experience working in Agile development environments with tools such as Jira. - Prior experience in a startup or fast-growing technology company. About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

• Define strategy, roadmap, and requirements to prevent money laundering, fraud, and illicit financing. • Manage the entire product development lifecycle to ensure regulatory compliance (AML/KYC/Sanctions) while balancing customer experience and risk mitigation. • Analyze regulations, develop appropriate controls, and oversee performance metrics for compliance systems.