ZipRecruiter

Log In

2

Remote Seismic Data Processing Geophysicist Jobs in Delaware

Truveris

Data Coordinator

Wilmington, DE · On-site +1

$50K/yr

Description Data Coordinator I (Remote) About Us Truveris is a pharmacy cost containment company ... Contribute to quality control efforts and identify process improvements. * Drive operational ...

Stefanini

Data Conversion Analyst

Dover, DE · Remote

Dover, DE (Remote) - May require an occasional onsite meeting in Delaware (as needed for team ... Familiarity with Department of Labor Data Model, process, and regulations. Experience with public ...

Ecclesiastes, Inc.

Data Analyst

Newark, DE · On-site +1

... process needs analysis and requirements gathering • Experience with JAD sessions and performing ... This is a remote position. About Us Ecclesiastes provides highly skilled IT professionals to fill ...

next page

Showing results 1-20

People also search for

All JobsRemote Seismic Data Processing Geophysicist JobsRemote Seismic Data Processing Geophysicist Jobs in Delaware

Remote Seismic Data Processing Geophysicist information

What are the key skills and qualifications needed to thrive as a Remote Seismic Data Processing Geophysicist, and why are they important?

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 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 popular job titles related to Remote Seismic Data Processing Geophysicist jobs in Delaware? For Remote Seismic Data Processing Geophysicist jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Remote Seismic Data Processing Geophysicist jobs in Delaware look for? The top searched job categories for Remote Seismic Data Processing Geophysicist jobs in Delaware are:
What cities in Delaware are hiring for Remote Seismic Data Processing Geophysicist jobs? Cities in Delaware with the most Remote Seismic Data Processing Geophysicist job openings:
Remote Seismic Data Processing Geophysicist jobs near you
Data Solution Architect

Data Solution Architect

Syntricate Technologies

Wilmington, DE • On-site, Remote

$65 - $70/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Data Solution Architect

Buffalo, NY or Wilmington, DE (3 days onsite/2 days remote), OR Remote w/ travel 6+-month contract to hire Web Cam Interview $65-$70/Hr on W2 (Will be expected to travel to Buffalo, NY and/or Wilmington, DE every 4-6 weeks with Monday through Thursday in office) Travel expense reimbursed by client Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred) (required).

Job Title: Data Solution Architect Location: Buffalo, New York (Preferred) / Remote (Will be expected to travel to Buffalo, NY every 4-6 weeks with Monday through Thursday in office.)

Job Summary

The Data Solution Architect is responsible for designing and delivering enterprise-grade data platforms and solutions that enable advanced analytics and business intelligence. This role requires deep expertise in data engineering, cloud-native architecture, and modern data technologies. The architect will work closely with engineering, product, and compliance teams to build secure, scalable, and regulatory-compliant data solutions. All solutions must align with the principles, standards, and reference architectures established by the Enterprise Architecture function, ensuring consistency, interoperability, and strategic fit across the organization.

Key Responsibilities:
  • Solution Architecture: Architect and deliver cloud-based data platforms (e.g., Azure Data Lake) and scalable data pipelines using technologies such as Databricks, Kafka, etc.
  • ETL/ELT Frameworks: Develop and implement ETL/ELT frameworks for ingesting, transforming, and integrating data from diverse sources, including legacy financial systems, SaaS platforms, and real-time data streams.
  • Data Platform Deployment: Design and oversee deployment of data warehouses, lakehouses, and analytics sandboxes to support business intelligence, machine learning, and reporting needs inclusive of Power BI and Snowflake.
  • Data Governance: Define and enforce data governance, metadata management, and data quality standards in accordance with Enterprise Architecture guidance and regulatory requirements.
  • Enterprise Architecture Collaboration: Collaborate with Enterprise Architecture to ensure all solutions adhere to architectural standards, reference models, and technology roadmaps.
  • Technology Evaluation: Lead technical evaluations and proof-of-concept projects for emerging data technologies (e.g., real-time analytics, data mesh, AI/ML platforms).
  • Technical Documentation: Produce deliverables such as architecture diagrams, data flow maps, security models, and technical documentation for solution handoff and operational support.
  • Agile/DevOps Leadership: Guide Agile/DevOps teams in implementing CI/CD pipelines, automated testing, and infrastructure-as-code for data solutions.
Expected Skills:
  • Data engineering platforms, big data technologies, and cloud-native development (microservices, Kubernetes).
  • API design (REST) and integration tools (ETL/ELT).
  • Stakeholder communication (technical and non-technical audiences).
  • Leadership in Agile/DevOps environments.
  • Analytical problem-solving for complex data systems.
  • Project management: proficiency in tools like Jira; familiarity with SDLC and CI/CD pipelines.
Expected Knowledge:
  • Foundational Understanding: Data modeling, data pipeline orchestration, data quality management, metadata management, and data lifecycle.
  • Data Platforms: Data lakes, warehouses, and lake house architectures; distributed systems and cloud data services.
  • Data Engineering: ETL/ELT processes, real-time and batch data processing, data integration, and automation.
  • Financial Systems: Payment networks, liquidity management, and settlement processes (as relevant to data flows).
  • Regulatory Landscape: Global data privacy regulations (GDPR, CCPA) and compliance tools.
  • Security: Data encryption, access controls, and penetration testing methodologies.
Qualifications:
  • Education: Bachelor's/Master's in Computer Science, Engineering, or related field.
  • Certifications: AWS/Azure Solutions Architect, Certified Data Engineer, or similar.
  • Experience: 5+ years in solution architecture or technical implementation, with 2+ years in data engineering or enterprise data platforms.
  • Proficient in system design, integration, and implementation across multiple technology domains.
  • Proven track record in deploying scalable financial systems (e.g., payment gateways, digital wallets, stablecoin or cryptocurrency systems preferred).
  • Hands-on experience with cloud platforms (Azure/AWS/GCP), containerization (Kubernetes), and DevOps practices.
  • Excellent communication, collaboration, and critical thinking skills.
  • Understanding of financial regulations, compliance, and security standards.
Expected Deliverables:
  • End-to-end solution architectures for data platforms, including detailed diagrams, technology stack specifications, and integration patterns.
  • ETL/ELT pipeline designs and implementation plans for onboarding new data sources and modernizing legacy systems.
  • Data governance frameworks, including policies for data quality, lineage, and access control, aligned with Enterprise Architecture standards.
  • Technical documentation packages: architecture blueprints, operational runbooks, and security protocols.
  • Prototypes and proof-of-concept implementations demonstrating new data engineering capabilities (e.g., streaming analytics, automated data quality checks).
  • Performance benchmarks and scalability assessments for deployed solutions.
  • Risk mitigation plans, including security audit findings and disaster recovery strategies.

Apply