Data Integration Engineer

Job Location: 505 Broadway, Redwood City, CA 94063

Job Title: Data Integration Engineer

Job Duties: Responsible for the analysis, design, configuration, and development of integration solutions for multiple clouds and on-premises applications that are part of the Alumni and Development Applications Platform Transition (ADAPT) program. Additional contributions will include multiple components of the program: legacy data integration, technical design documentation, and communication of designed solutions to business partners. Collaboration is crucial with all participants inclusive of project managers, developers, business analysts, technical administrators, testers, and program management. Propose, conceptualize, design, implement, and orchestrate solutions from end-to-end integration and be responsible for the applicable technical architecture. Lead and manage integration flow development, as necessary, for application and data integration. Monitor technology trends and evaluate emerging technologies for adoption and implementation. Ensure work completion within schedule, budgetary, and design constraints; Conduct analysis, design, and testing; solve complex technical problems; provide alternative methods for achieving goals when necessary. Identify and facilitate efficiency improvements in existing integration processes. Create documentation, processes, procedures, and guidelines to ensure compliance with university policy and federal and state regulations. Research and work with other technical analysts and administrators to implement new integration methodologies, processes, and procedures. Collaborate with technical architects & leads, product owners, infrastructure support, QA, and external teams. Mentor junior staff, as necessary, working on all phases of the application development lifecycle. May telecommute within area of intended employment at employer’s discretion.

Requirements: Bachelor's degree in Computer Science, Mechanical Engineering, Electrical/Electronic Engineering or related degree and eight years of experience as a data integration engineer or any occupation in data integration engineering or Master’s degree in Computer Science, Mechanical Engineering, Electrical/Electronic Engineering or related degree and five years of experience as a data integration engineer or any occupation in data integration engineering.

Must possess three years of experience in the following:·

• Developing, testing, and deploying data integrations including with API and Web Services (REST/SOAP/Bulk)
• Project management practices, frameworks, and methodologies (Agile/Scrum/Waterfall).
• Defining and solving logical problems for highly technical applications.
• Recognizing and recommending needed changes in user and operations procedures including participation in code reviews.
• ETL and integration platform tools (MuleSoft, Informatica, SnapLogic).
• Git, merging, managing branches, and resolving conflicts.
• Manual/automated functional testing and unit testing.

Must have knowledge in:

• Data design, architecture, and data modeling in distributed cloud/hybrid environments.
• Selecting, adapting and using a variety of programming methods.
• Leading, coaching, and mentoring junior members of varying skill levels.
• May telecommute within area of intended employment at employer’s discretion.

The expected pay range for this position is $144,000 to $150,000 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources at [email protected] . For all other inquiries, please submit a contact form.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Send CV and refs to: Nicole Ambayec at [email protected]. Use reference job code Req#102169.