Data Engineer

Job Title: Data Engineer Location: San Jose CA - Hybrid (Tues-Thurs in the office. Monday & Friday remote) Duration: 9 months contract Description: As a Data Engineer, you execute complete, tactical tasks within the scope of a larger project with guidance from manager, team drive, or senior colleagues, within bounded time. You apply standard tools, resources, and processes to solve defined problems, and work on developing working relationships outside the team to contribute to cross-project collaborations. You possess a foundational understanding of core data and role-related knowledge, relevant our technologies, and processes and translate business requirements/needs into technical data solutions. Top 3 skills: • Data Analyst/Engineer with PYTHON experience (2-3 years minimum) and Advanced Degree PhD strongly preferred • Ability to expertly script (automated/manual) for analysis reporting and ability to write and run code notebooks and machine learning to assist with infrastructure • Ability to run collabs and experience public domain and training open-source model (Gemma) Education: Bachelors or higher in CS or related field • Python Coding: 3 Years • English Writing: Advanced ability to write English prose • Experience with ML / AI • Prompt engineering Writing prompts for GenAI 0-3 years • Advanced Degree PhD strongly preferred Responsibilities include: • Create and/or consult in creating data visualizations, visualization features using internal BI tools like PLX, Datastudio, and external tools like Tableau and Looker, with some guidance. • Provide ongoing support for data users through maintenance of reports, queries, and dashboards with some guidance. • Perform exploratory data analysis and profiling utilizing relevant tools, leveraging custom data infrastructure, or existing data models with some guidance. Work with clients to understand their needs and clarify details of requirements. Enable data-driven decision-making by collecting, transforming, and publishing data. • Leverage, deploy, and continuously train pre-existing machine learning models. Learn and implement new storage/MPP systems/ML serving systems, with some guidance. • Implement business solutions and infrastructure to build and scale common frameworks for use with some guidance. Seek and follow local technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well. Design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance, scalability and efficiency, reliability and fidelity, and flexibility and portability. • Develop and maintain data models, pipelines, and exchange formats to assist in the visualization, analysis, interpretation of data and for use of data in ML training/models, with direct guidance. • Consult with users, partners, or decisions makers to identify data sources, required data elements, or data validation standards with some guidance. Consult with application engineers to understand and influence logging/transactional storage. Consult with Data scientists on ML training, feature engineering for ML models. Minimum role qualification requires proficiency in: • Code comprehension and programming skills • Information gathering skills • Project management • Data exploration • Big data infrastructure • Machine Learning Knowledge • Stakeholder management • Data pipeline(ETL) design and Data Modeling • Statistics & BI tools Russell Tobin offers eligible employees comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance, and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors