<h2>About Exponent</h2><p><strong>Exponent</strong> 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.  </p><p> </p><p>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.  </p><p> </p><p>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!   </p><p> </p><p><strong>Key statistics:</strong> </p><ul> <li>950+ Consultants </li> <li>640+ Ph.D.s </li> <li>90+ Disciplines </li> <li>30+ Offices globally </li></ul><h2>Our Opportunity</h2><p>We are currently seeking a Ph.D. level <strong>Data Engineering Focused Consultant</strong> for our <strong>Data Sciences</strong> Practice in <strong>Irvine, CA </strong>or<strong> Los Angeles, CA</strong>. 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.</p><h2>You will be responsible for</h2><ul> <li>Converting prototype engineering and data science models into production-grade applications</li> <li>Integrating and curating data across complex data models to support research and analytics</li> <li>Designing, implementing, and monitoring scalable data pipelines, optimizing for performance and cost efficiency</li> <li>Serving as a resident expert in databases and determining appropriate compute and storage solutions to meet anticipated needs</li> <li>Incorporating security best-practices into data storage and pipelines and designing roles and permissions for databases and cloud environments</li> <li>Supporting stakeholders with data provenance and data quality details needed for informed decision-making</li> <li>Collaborating in multi-disciplinary project settings with scientists, engineers, and business leaders </li></ul><h2>You will have the following skills and qualifications</h2><ul> <li>Ph.D. in Computer Science or a related scientific or engineering field where you were involved in the development of production-grade software</li> <li>Demonstrated experience and expertise in one or more of the following domains, while developing expertise in other domains:  <ul>   <li>Data Engineering: building, debugging, and monitoring ETL pipelines on distributed computing systems</li>   <li>Cloud Architecting: designing and deploying secure, scalable, and cost-efficient solutions for data warehousing, storage, and compute</li>   <li>Data Modeling: developing schemas tailored for data collection, analytics, and frontend applications</li>   <li>Database Administration: designing database schemas, roles, and permissions and optimizing database performance</li>  </ul></li> <li>Experience collaborating with other developers on production-grade software using version control (Git, SVN, or others)</li> <li>High proficiency (3+ years) in Python using NumPy, Pandas, SciPy, and other scientific computing packages</li> <li>Deep experience with at least one other computing language (PySpark, R, MATLAB, or Java)</li> <li>Power BI or other dashboarding experience a plus</li> <li>The desire to work with a diverse set of clients and engage in innovative work outside of the traditional computer science field</li> <li>Excellent verbal and written communication skills to explain technical details to both technical and non-technical stakeholders</li> <li>Ability to work independently and in multidisciplinary teams</li> <li>A proactive, self-driven approach to staying current with industry trends and emerging technologies</li></ul><p> </p><p><em>Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</em></p><h2>Life @ Exponent</h2><p>To learn more about life at Exponent and our impact, please visit the following links:</p><p> </p><p>https://www.exponent.com/careers/life-exponent</p><p>https://www.exponent.com/company/our-impact</p><p> </p><p>Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.</p><p> </p><p>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.</p><h2>Work Environment</h2><p>At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities. </p><p> </p><p>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</p><h2>Salary Range</h2>USD $133,000.00 - USD $145,000.00 /Yr.<h2>Benefits you will enjoy</h2><p>Access benefits information on our Life@Exponent page:</p><p> </p><p>https://www.exponent.com/careers/life-exponent</p><p> </p><p>Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.</p><p> </p><p>If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.</p><p> </p><p> </p><p></p><p> </p><h2>Job Locations</h2>US-CA-Irvine US-CA-Los Angeles

<p>In an era of accelerating change, Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clients&rsquo; most profoundly unique, unprecedented, and urgent challenges.</p>
<p>Exponent brings together 90+ technical disciplines and 950+ consultants to help our clients navigate the increasing complexity of more than a dozen industries, connecting decades of pioneering work in failure analysis to develop solutions for a safer, healthier, sustainable world.</p>
<p>Our consultants deliver the highest value by leveraging multidisciplinary expertise and resources from across Exponent's offices in North America, Asia, and Europe. Exponent's consultants, laboratories, databases, and computing resources work seamlessly together around the globe, enabling us to produce the breakthrough insights needed to help multinational companies, startups, law firms, insurance companies, government, and society respond to incidents and push their products and processes forward</p>

Data Engineering Focused Consultant (Ph.D.)

<h2>About Exponent</h2><p><strong>Exponent</strong> 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. &nbsp;</p><p>&nbsp;</p><p>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. &nbsp;</p><p>&nbsp;</p><p>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!  &nbsp;</p><p>&nbsp;</p><p><strong>Key statistics:</strong>&nbsp;</p><ul> <li>950+ Consultants&nbsp;</li> <li>640+ Ph.D.s&nbsp;</li> <li>90+ Disciplines&nbsp;</li> <li>30+ Offices globally&nbsp;</li></ul><h2>Our Opportunity</h2><p>We are currently seeking a&nbsp;Ph.D. level <strong>Data Engineering Focused Consultant</strong>&nbsp;for our&nbsp;<strong>Data Sciences</strong>&nbsp;Practice in&nbsp;<strong>Irvine, CA&nbsp;</strong>or<strong>&nbsp;Los Angeles, CA</strong>. 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.</p><h2>You will be responsible for</h2><ul> <li>Converting prototype engineering and data science models into production-grade applications</li> <li>Integrating and curating data across complex data models to support research and analytics</li> <li>Designing, implementing, and monitoring scalable data pipelines, optimizing for performance and cost efficiency</li> <li>Serving as a resident expert in databases and determining appropriate compute and storage solutions to meet anticipated needs</li> <li>Incorporating security best-practices into data storage and pipelines and designing roles and permissions for databases and cloud environments</li> <li>Supporting stakeholders with data provenance and data quality details needed for informed decision-making</li> <li>Collaborating in multi-disciplinary project settings with scientists, engineers, and business leaders&nbsp;</li></ul><h2>You will have the following skills and qualifications</h2><ul> <li>Ph.D. in Computer Science or a related scientific or engineering field where you were involved in the development of production-grade software</li> <li>Demonstrated experience and expertise in one or more of the following domains, while developing expertise in other domains:  <ul>   <li>Data Engineering: building, debugging, and monitoring ETL pipelines on distributed computing systems</li>   <li>Cloud Architecting: designing and deploying secure, scalable, and cost-efficient solutions for data warehousing, storage, and compute</li>   <li>Data Modeling: developing schemas tailored for data collection, analytics, and frontend applications</li>   <li>Database Administration: designing database schemas, roles, and permissions and optimizing database performance</li>  </ul></li> <li>Experience collaborating with other developers on production-grade software using version control (Git, SVN, or others)</li> <li>High proficiency (3+ years) in Python using NumPy, Pandas, SciPy, and other scientific computing packages</li> <li>Deep experience with at least one other computing language (PySpark, R, MATLAB, or Java)</li> <li>Power BI or other dashboarding experience a plus</li> <li>The desire to work with a diverse set of clients and engage in innovative work outside of the traditional computer science field</li> <li>Excellent verbal and written communication skills to explain technical details to both technical and non-technical stakeholders</li> <li>Ability to work independently and in multidisciplinary teams</li> <li>A proactive, self-driven approach to staying current with industry trends and emerging technologies</li></ul><p>&nbsp;</p><p><em>Applicants are encouraged to submit a CV with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].</em></p><h2>Life @ Exponent</h2><p>To learn more about life at Exponent and our impact, please visit the following links:</p><p>&nbsp;</p><p>https://www.exponent.com/careers/life-exponent</p><p>https://www.exponent.com/company/our-impact</p><p>&nbsp;</p><p>Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.</p><p>&nbsp;</p><p>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.</p><h2>Work Environment</h2><p>At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for​ building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities. </p><p>&nbsp;</p><p>We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite</p><h2>Salary Range</h2>USD $133,000.00 - USD $145,000.00 /Yr.<h2>Benefits you will enjoy</h2><p>Access benefits information on our Life@Exponent page:</p><p>&nbsp;</p><p>https://www.exponent.com/careers/life-exponent</p><p>&nbsp;</p><p>Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.</p><p>&nbsp;</p><p>If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com.</p><p>&nbsp;</p><p>&nbsp;</p><p></p><p>&nbsp;</p><h2>Job Locations</h2>US-CA-Irvine US-CA-Los Angeles

Data Engineering Focused Consultant (Ph.D.)

About the Job

About the Company

Exponent

Similar Jobs

Software Engineer, Data

Software Engineer, DataNew

Applied Data Scientist – AI & Analytics Focus (M.S. or Ph.D.)

Applied Data Scientist – AI & Analytics Focus (M.S. or Ph.D.)

Data Engineer

Data Engineer

Data Solutions Engineer

Data Solutions Engineer

Data Scientist (m/f/d)

Data Scientist (m/f/d)

Senior Data Management Consultant

Senior Data Management Consultant

Data Tech Lead/Manager

Data Tech Lead/Manager

Lead Software Engineer, Data Infrastructure & Analytics

Lead Software Engineer, Data Infrastructure & Analytics

Data Engineer (m/f/x)

Data Engineer (m/f/x)

Staff Data Scientist

Staff Data Scientist