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Remote Seismic Data Processing Geophysicist Jobs in California

Seismic

Senior Enterprise Sales Director

San Diego, CA · On-site +1

$130K - $150K/yr

The ideal candidate location for this position is in San Diego, CA or remote in PST or MST time ... data. The range listed below is the minimum to the maximum of our target hiring range. Seismic ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and ...

Innowhyte Inc

Proficiency in Python programming and its data-processing libraries (e.g., Pandas, PySpark). Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and ...

Innowhyte Inc

... processing libraries (e.g., Pandas, PySpark). • Proven expertise in handling large-scale data systems such as distributed databases, data warehouses, and data lakes. • Strong experience with ...

Homesight Inc

Oversee and lead the data org; leading with a hands-on approach to building processes & playbooks, recruiting your team, setting goals, strategy alignment, and managing expectations with internal ...

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Remote Seismic Data Processing Geophysicist information

What does a remote seismic data processing geophysicist do?

A Remote Seismic Data Processing Geophysicist specializes in analyzing seismic data, often from a remote location, to help interpret subsurface geological structures. They use advanced software and algorithms to process raw seismic signals collected during surveys, improving the quality and clarity of the data. Their work is crucial in industries such as oil and gas exploration, environmental studies, and earthquake research. By working remotely, they leverage digital tools to collaborate with teams and deliver results without being on-site.

What are the key skills and qualifications needed to thrive as a remote seismic data processing geophysicist?

To thrive as a Remote Seismic Data Processing Geophysicist, you need a strong background in geophysics, seismic interpretation, and quantitative analysis, usually supported by a relevant degree such as geophysics, geology, or physics. Proficiency with seismic processing software (e.g., ProMAX, Petrel, or SeisSpace), programming languages (such as Python or MATLAB), and experience with remote collaboration tools are typically required. Strong analytical thinking, attention to detail, and effective communication skills help professionals excel in interpreting complex datasets and reporting findings to multidisciplinary teams. These skills ensure accurate seismic data analysis, efficient remote collaboration, and effective contribution to exploration or monitoring projects.

What are some common challenges faced by remote seismic data processing geophysicists, and how can they be managed?

Remote Seismic Data Processing Geophysicists often encounter challenges such as managing large data sets, ensuring data quality, and troubleshooting processing software issues without on-site support. Effective communication with field teams and clients is crucial to clarify data requirements and resolve discrepancies quickly. Staying updated with the latest processing techniques and maintaining strong organizational skills help manage project deadlines and deliver accurate results. Collaboration tools and regular virtual meetings are commonly used to facilitate teamwork and overcome the limitations of remote work.

What are the most commonly searched types of Seismic Data Processing Geophysicist jobs in California?

The most popular types of Seismic Data Processing Geophysicist jobs in California are:

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Remote Seismic Data Processing Geophysicist jobs near you

Principal Data Processing Engineer-OSS

Mountain View, CA • On-site, Remote

Datapelago
See more jobs at Datapelagoexternal

Full-time

Re-posted 9 days ago

Job description

Principal Data Processing Engineer - OSS
Mountain View, CA


About DataPelago:

DataPelago is at the forefront of revolutionizing data processing for traditional analytics and cutting-edge GenAI preprocessing. We are building an innovative data processing engine that is transforming how Apache Spark, Apache Flink, Ray, and others operate on diverse, large-scale data. Our team of engineers drive and adopt advances in hardware-accelerated computing, parallel processing of large-scale data, query optimization, distributed systems, compilers, machine learning, and cloud-native computing. We are looking for world-class engineers to join our team and shape the future of accelerated data processing.

The Role:

As a Principal Data Processing Engineer (OSS), you will be a key individual contributor in
adopting and advancing the capabilities of open-source software (OSS) platforms such as Apache

Gluten, Velox, Apache Spark, and Apache Flink in the context of DataPelago's data processing engine. You will enhance the functional breadth, performance, scale, and reliability of the DataPelago engine through downstream and upstream contributions. You will have the opportunity to engage with the community working on these platforms. This is a unique opportunity to make a significant impact on a category-defining product and work with a talented team of engineers.

What You'll Do:

  • Influence the architecture of how our data processing engine interfaces with open-source platforms and engines.
  • Lead the design of functional and performance enhancements to open source platforms such as Apache Gluten and Velox, and their integration with our data processing engine.
  • Individually design, implement, test, optimize, and maintain components of the data processing engine.
  • Analyze the technology roadmap of Apache Gluten, Velox, and equivalent platforms and identify opportunities for our engine to enhance technology and product leadership.
  • Collaboration: Partner with engineering, product management, the open-source community and customer success teams.
  • Foster best practices in design and code reviews, testing, CI/CD, and issue resolution to maintain the highest product quality, security, efficiency, and productivity.

What You'll Bring:

  • BS/MS in Computer Science (or a related field) with 6+ years of relevant experience
  • 3+ years of deep technical experience in instrumenting, analyzing, and optimizing the performance of data processing engine components on benchmark and customer workloads.
  • Sound knowledge of the architecture and internal operation of one or more of Apache Spark,
    Apache Flink, Presto/Trino.
  • Demonstrated experience in the design, development, and successful release of high-performance data processing engines for large production deployments.
  • Exceptional programming skills in C, C++, and Java.
  • Extensive development experience in Linux environments.
  • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills with a passion for performance optimization.

Location Considerations:

We value face-to-face collaboration, but recognize that talent can be found anywhere. Our engineering team works at our headquarters in Mountain View, CA, at our India office in Hyderabad, and at remote locations.

Why Join DataPelago?

  • Technical Leadership: Take a leadership role in shaping the architecture and development of how our core engine works with open source data processing platforms
  • Cutting-Edge Innovation: Work on challenging problems at the forefront of accelerated
    computing and data processing.
  • Significant Impact: Your contributions will directly impact the performance and scalability of our mission-critical platform.
  • Mentorship and Growth: Mentor and guide other talented engineers while expanding your own technical expertise.
  • Competitive compensation, stock options, comprehensive benefits package, and leadership development opportunities

Apply