Data Engineering Focused Consultant (Ph.D.)

Exponent•Los Angeles, CA

11d•Onsite

About The Position

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients’ most profoundly unique, unprecedented, and urgent challenges. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability. Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, you’ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 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

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

Benefits

Our firm is committed to offering a variety of programs and resources to support health and well-being.
We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference.
Access benefits information on our Life@Exponent page: https://www.exponent.com/careers/life-exponent

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