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Data and Web Engineer

MIAMI UNIVERSITY

Remote · USFull-time$70–80K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$70–80K/yr
Location
Remote · US
Schedule
Full-time
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Data and Web Engineer supports Miami University’s data analytics and web technology initiatives for student recruitment and enrollment. The role builds and maintains data infrastructure, reporting environments, and web solutions; develops data pipelines and dashboards; and supports web platforms and integrations. It collaborates with cross-functional teams, internal stakeholders, and external vendors to advance marketing efforts and improve digital experiences. The position has been approved for remote work.

Skills & qualifications

RequiredNice to have

Skills

SQLAWS RedshiftData ModelingETL/ELTAdverity

Full job description

Data and Web Engineer Job Title Data and Web Engineer Department UCM Data and Marketing Engineering Worker Type Regular Pay Type Salary Position Salary Minimum $70,000 Position Salary Maximum $80,000 Salary will be commensurate with the level of the position, education, and experience. Scheduled Weekly Hours 40 Benefit Eligible Yes Screening Date 2026-10-27 Job Description Summary Established in 1809, Miami University consistently ranks among the top national public universities for providing students with a superior education and exceptional value. Miami is located in the quintessential college town of Oxford, Ohio, with polytechnic campuses in Hamilton and Middletown, a learning center in West Chester, a European study center in Luxembourg, and a 100% virtual option in Miami Online. A comprehensive research university, Miami empowers students to engage with premier teacher-scholars and benefit from a well-rounded liberal arts foundation and vibrant campus experience to develop lifelong skills for any career. With more than 240,000 high-achieving alumni, students gain access to an extensive and supportive community that opens doors globally and leads to amazing outcomes. With an ambition to effect meaningful change, Miami delivers the resources and experiences that prepare graduates to learn with purpose and lead with courage. Miami University's Communications and Marketing department has been charged with building and maintaining the university's brand on a local, regional, and national stage. This dynamic and award-winning team is comprised of over 70 marketing and communications professionals and is looking to hire a Data & Web Engineer. The Data & Web Engineer within Miami University Department of University Communications and Marketing (UCM) serves as a hybrid technical leader supporting both data analytics and web technology initiatives that advance student recruitment and enrollment goals. This role designs, builds, and maintains scalable data infrastructure, reporting environments, and web solutions that power strategic marketing and communication efforts. The Data & Web Engineer is responsible for developing and managing data pipelines, overseeing database environments, creating advanced analytics and interactive dashboards, and supporting web platforms and integrations that enhance the digital experience. This includes collaborating with cross-functional teams to identify data and technology needs, supporting integrated marketing initiatives with robust reporting and analysis, maintaining CMS and hosting environments, and partnering with internal stakeholders and external vendors to ensure a seamless and data-driven user journey across digital channels. This position has been approved for remote work. Remote work is not a right but a work arrangement that may be modified or revoked by Miami University at any time for any reason, including the convenience of the University. Job Description Data Pipeline & Database Development - Write complex SQL queries to extract, manipulate, and validate data from multiple sources before analysis and visualization. - Create and manage database environments (AWS Redshift or comparable data warehouse). - Design efficient data models, transform data across systems, and build scalable ETL/ELT processes (Adverity or similar ETL tools). - Ensure adherence to university data governance policies, privacy regulations (including FERPA), and institutional d

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