Associate Data Engineer

Associate Data Engineer Business Affairs: University IT (UIT), Redwood City, California, United States Core Duties Conceptualize design, implement and develop solutions for complex system/programs independently. Design and develop applications that may involve sophisticated data manipulation. Implementation and maintenance of complex Data Store/Data Lake/Lake house and Data warehousing systems and data‑intensive solutions that are scalable, optimized, and fault‑tolerant. Document system builds and application configurations; maintain and update documentation as needed. Provide technical analysis, design, development, conversion and implementation work. Work as a project leader, as needed, for projects of moderate complexity. Serve as a technical resource for all Data Engineering applications. Compare, evaluate, and implement new features and technologies, and integrate them into the computing environment. Follow team software development methodology. Mentor lower‑level software developers. Design and implement Data Migration and Data Integration across cloud and hybrid environments. Mastery and hands‑on experience with Data Engineering technologies and scripting languages. Ability to translate complex functional and technical requirements into detailed architecture, design and high‑performing software. Design, build and optimize pipelines for data collection for storage, access and analytics. Minimum Requirements Education and Experience: Bachelor’s degree and five years of relevant experience, or a combination of education, training and relevant experience. Knowledge, Skills and Expertise Expertise in designing, developing, testing, and deploying applications. Ability to define and solve logical problems for highly technical applications. Hands‑on experience and training in Advanced SQL, Advanced Python programming, AWS Services (such as S3, Redshift, Glue ETL, IAM, DMS, Appflow, VPC and others), SnowFlake, FiveTran, KAFKA, Airflow, Oracle Cloud and other open source tools. Experience in writing reusable complex Python/PySpark scripts for ELT, Business Logic OR APIs. Other Coding experience such as Scala and R Programming is a plus. Hands‑on development work on all aspects of data analysis, data provisioning, modeling, performance tuning and optimization. Experience in working on AWS cloud environment, using the marketplace for the right tool, efficient utilization of them to meet business requirements. Build scalable data pipelines for both real time and batch using best practices in data modeling, ETL/ELT processing using various technology stack. Experienced in Data Modeling, Data Migration and Data Integration. Know the pain points in Data integration across SaaS applications and implement the best solution that fits the organization. Strong communication skills with both technical and non‑technical clients. Physical Requirements Constantly perform desk‑based computer tasks. Frequently sit, grasp lightly/fine manipulation. Occasionally stand/walk, use a telephone. Rarely writing by hand, lift/carry/push/pull objects that weigh up to 10 pounds. Working Conditions May work extended hours, evenings and weekends. Work Standards Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide. Expected pay range for this position is $138,402 to $163,985 per annum. Benefits Freedom to grow. We offer career development programs, tuition reimbursement, or audit a course. A caring culture. We provide superb retirement plans, generous time‑off, and family care resources. A healthier you. Climb our rock wall or choose from hundreds of health or fitness classes at our work‑class exercise facilities. We also provide excellent health care benefits. Discovery and fun. Stroll through historic sculptures, trails, and museums. Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more! Redwood City campus provides amenities such as onsite cafes and a dining pavilion, a high‑end fitness facility with an outdoor pool, and a childcare center for staff. 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. Additional Information Schedule: Full‑time Job Code: 4822 Employee Status: Regular Grade: J Requisition ID: 109133 Work Arrangement: Hybrid Eligible #J-18808-Ljbffr Stanford University