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Information Technology Services
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91275 Requisition #

Stanford Graduate School of Business

 

Residing in Silicon Valley, the heart of innovation, Stanford GSB has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience, push the boundaries of knowledge with faculty research, and offer a portfolio of entrepreneurial and non-degree programs that deliver global impact like no other. We strive to change lives, change organizations, and change the world.

 

The Data, Analytics, and Research Computing (DARC) team at Stanford University's Graduate School of Business is looking for a passionate data engineer to join our team. This data engineer will support the development and maintenance of data pipelines for transferring, manipulating, and ingesting multiple terabyte-scale datasets. In addition, the Data Engineer serves as a liaison between academic researchers and data providers, effectively communicating with database administrators, security professionals, research scientists, graduate students, and software engineers.  This engineer should have extensive experience and the ability to quickly learn about diverse data types in a wide variety of formats, including but not limited to:

  • Nested formats (XML, JSON)
  • Unstructured text with different encodings (UTF-8 and others)
  • Fixed-width formats
  • Delimited formats
  • Columnar structures including Parquet, Arvo, and others
  • Database dumps in SQL dialects
  • Compressed data formats
  • Statistical software formats (sasb7dat, data)

 

A successful candidate will be tasked with maintaining and supporting a growing big data stack that includes technology such as:

Languages

  • Python
  • Bash
  • R (nice to have)

 

Platforms

  • Ubuntu (Linux command line)
  • Cloud Computing (AWS EC2, GCE, Lambda)
  • Cloud Storage (S3, EBS, Glacier, GCS, Wasabi)
  • Jupyter Notebooks / Google Colab
  • Redivis

 

Databases

  • MySQL, PostgreSQL, SQLite (relational)
  • MongoDB (NoSQL) 
  • Athena/Hive, BigQuery (serverless)
  • InfluxDB (time series)

 

Tools

  • Globus
  • SSH/SCP/SFTP
  • Rclone

 

What makes working on the DARC team so amazing is the team dynamic. To be the best candidate you will demonstrate that:

  • You are self-motivated, results-driven, and engaged.
  • You're passionate about big data and the software that manipulates it.
  • You have excellent attention to detail and understand the importance of data integrity.
  • You thrive in a collaborative team-based environment.
  • You have fun discovering new technologies.
  • You want to get to the bottom of things, understand what's going on, and make a difference.
  • You don't give up when faced with complex problems and are not afraid to ask for help.
  • You build strong relationships with your colleagues and openly share your interests and passions.

 
Your primary responsibilities include:

  • Provide technical design, coding, testing, implementation, maintenance, system and technical support for data initiatives.
  • Conduct and participate in code walkthroughs and document technical design. Assist in Quality Control testing. Troubleshoot and solve technical problems
  • Collaborate closely with Project Manager/Technical Manager on overall Data architecture, roadmap and implementation.
  • Meticulously build Data applications following software methodologies defined.
  • Monitor ETL processes, system audits, and performance and pro-actively fix issues as found. Support the performance of systems.
  • Serve as technical interface with software vendors and data providers, ensuring that researchers have effective access to data in selected systems.
  • Support Source upgrades, Hardware/Software upgrade projects with impact analysis, fixes and end-to-end testing. Provide operational support on failures and outages.

 

To be successful in this position, you will bring:

  • Bachelor’s degree and five years of relevant experience in computer science, or engineering or a combination of education and relevant experience.
  • Basic understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, Version Control and Office software.
  • Strong programming skills, relational database skills with expertise in SQL. Skills in Shell Programming, experience working with security/privacy constraints and fluency in cloud technologies.
  • Understanding in Data warehousing concepts and methodologies and research data workflows.
  • Ability to support custom-built ETL, auditing, and scheduling programs.
  • Ability to define and solve logical problems with the right solutions.
  • Analytical capabilities to slice and dice data and display data in reports for the best user experience.
  • Demonstrated ability to review academic research processes and translate them into BI reporting and analysis solutions.
  • Ability to follow best practices and standards.
  • Ability to identify data application performance bottlenecks and tune.
  • Ability to programmatically process data in flat files, transform and load into Data warehouse.
  • Quick learner of any new technologies OR business processes.
  • Ability to work effectively in a team environment.
  • Excellent communication skills, interfacing between technical partners, data managers and researchers.


Why Stanford is for You

Stanford’s dedicated 16,000 staff come from diverse educational and career backgrounds. We are a collaborative environment that thrives on innovation and continuous improvement. At Stanford, we seek talent committed to excellence, driven to impact the future of our legacy, and improve lives on a global sphere. We provide competitive salaries, excellent health care and retirement plans, and a generous vacation policy, including additional time off during our winter closure. Our generous perks align with what matters to you:

  • Freedom to grow. Take advantage of career development programs, tuition reimbursement, or audit a course. Join a Ted Talk, film screening, or listen to a renowned author or leader discuss global issues.
  • A caring culture. We understand the importance of your personal and family time and provide you access to wellness programs, child-care resources, parent education and consultation, elder care and caregiving support.
  • A healthier you. We make wellness a priority by providing access to world-class exercise facilities. Climb our rock wall, or participate in one of hundreds of health or fitness classes.
  • Discovery and fun. Visit campus gardens, trails, and museums.
  • Enviable resources. We offer free commuter programs and ridesharing incentives. Enjoy discounts for computers, cell phones, recreation, travel, entertainment, and more! 

 

We pride ourselves in being a culture that encourages and empowers you.

 

How to Apply

We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, please submit a cover letter and résumé along with your online application

 

* 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 accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


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.

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