Data Engineering Focused Consultant (Ph.D.)

Exponent Inc. • Los Angeles, CA

14h • Onsite

About The Position

We are currently seeking a Ph.D. level Data Engineering Focused Consultant for our Data Sciences Practice in Irvine, CA or Los Angeles, CA. In this role, you will work as part of a team to rapidly design and develop data-driven applications for a wide variety of industries, including healthcare, utilities, defense, and consumer electronics. You will have the opportunity to define and shape your individual consulting practice based on your skills and interests.

Requirements

• Ph.D. in Computer Science or a related scientific or engineering field where you were involved in the development of production-grade software
• Demonstrated experience and expertise in one or more of the following domains, while developing expertise in other domains:
• Data Engineering: building, debugging, and monitoring ETL pipelines on distributed computing systems
• Cloud Architecting: designing and deploying secure, scalable, and cost-efficient solutions for data warehousing, storage, and compute
• Data Modeling: developing schemas tailored for data collection, analytics, and frontend applications
• Database Administration: designing database schemas, roles, and permissions and optimizing database performance
• Experience collaborating with other developers on production-grade software using version control (Git, SVN, or others)
• High proficiency (3+ years) in Python using NumPy, Pandas, SciPy, and other scientific computing packages
• Deep experience with at least one other computing language (PySpark, R, MATLAB, or Java)
• Excellent verbal and written communication skills to explain technical details to both technical and non-technical stakeholders
• Ability to work independently and in multidisciplinary teams
• A proactive, self-driven approach to staying current with industry trends and emerging technologies

Nice To Haves

• Power BI or other dashboarding experience a plus
• The desire to work with a diverse set of clients and engage in innovative work outside of the traditional computer science field

Responsibilities

• Converting prototype engineering and data science models into production-grade applications
• Integrating and curating data across complex data models to support research and analytics
• Designing, implementing, and monitoring scalable data pipelines, optimizing for performance and cost efficiency
• Serving as a resident expert in databases and determining appropriate compute and storage solutions to meet anticipated needs
• Incorporating security best-practices into data storage and pipelines and designing roles and permissions for databases and cloud environments
• Supporting stakeholders with data provenance and data quality details needed for informed decision-making
• Collaborating in multi-disciplinary project settings with scientists, engineers, and business leaders

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 251-500 employees