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Entry Level Seismic Data Processing Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Locate and define new process improvement opportunities Requirements Data Analyst Job Requirements

Description Altair Data Resources is seeking an entry-level Data Analyst who is looking for an ... Locate and define new process improvement opportunities Requirements Data Analyst Job Requirements

PhD in Seismology, Geophysics, Earth Science, Data Science related to Geophysics, or related field ... processes leading to induced seismicity, and/or other seismology or geomechanical problems

PhD in Seismology, Geophysics, Earth Science, Data Science related to Geophysics, or related field ... processes leading to induced seismicity, and/or other seismology or geomechanical problems

PhD in Seismology, Geophysics, Earth Science, Data Science related to Geophysics, or related field ... processes leading to induced seismicity, and/or other seismology or geomechanical problems

Responsibility includes a full range of computer and peripheral equipment necessary to process seismic data by performing the listed duties. IT Computer operator is the person responsible for ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... seismic phases. o Understanding of digital signal processing including spectral analysis. o Observational ability to interpret time series waveform data, identify seismic, infrasonic, and ...

Scientific Data Analyst

Melbourne, FL · On-site

$75K - $130K/yr

... seismic phases. o Understanding of digital signal processing including spectral analysis. o Observational ability to interpret time series waveform data, identify seismic, infrasonic, and ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... processing * Follow responsible AI practices within the team, including prompt engineering, AI ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... processing * Follow responsible AI practices within the team, including prompt engineering, AI ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... processing * Follow responsible AI practices within the team, including prompt engineering, AI ...

... Data & Analytics team. This entry-level role is ideal for recent graduates or early-career ... processing * Follow responsible AI practices within the team, including prompt engineering, AI ...

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Entry Level Seismic Data Processing information

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How much do entry level seismic data processing jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for entry level seismic data processing in the United States is $17.70, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $18.75 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Seismic Data Processing vs Entry Level Geophysical Data Analysis?

AspectEntry Level Seismic Data ProcessingEntry Level Geophysical Data Analysis
Required CredentialsDegree in Geophysics, Geology, or related field; basic knowledge of seismic softwareDegree in Geophysics, Geology, or related field; familiarity with data interpretation tools
Work EnvironmentField data collection, processing labs, seismic data centersOffice-based, data interpretation, report writing
Industry UsageCommonly employed in oil & gas, mineral exploration, and environmental surveysUsed across oil & gas, environmental, and research sectors

Entry Level Seismic Data Processing focuses on preparing and processing seismic data using specialized software, often in field or lab settings. Entry Level Geophysical Data Analysis involves interpreting processed data to identify geological features, typically in an office environment. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

What cities are hiring for Entry Level Seismic Data Processing jobs? Cities with the most Entry Level Seismic Data Processing job openings:
What are the most commonly searched types of Seismic Data Processing jobs? The most popular types of Seismic Data Processing jobs are:
What states have the most Entry Level Seismic Data Processing jobs? States with the most job openings for Entry Level Seismic Data Processing jobs include:
Associate Data Engineer - Client Innovation Center (Entry Level)

Associate Data Engineer - Client Innovation Center (Entry Level)

IBM

Lansing, MI • On-site

Full-time

Posted 11 days ago


IBM rating

7.9

Company rating: 7.9 out of 10

Based on 72 frontline employees who took The Breakroom Quiz

100th of 191 rated software companies


Job description

Job Summary:
IBM Consulting Client Innovation Centers (CICs) are environments where technologists build real solutions for clients. The Associate Data Engineer role is entry-level, focusing on supporting the development and maintenance of data pipelines and platforms while collaborating with experienced practitioners.
Responsibilities:
• Support the development and maintenance of data pipelines used for analytics, reporting, and machine learning
• Assist with extracting, transforming, and loading (ETL/ELT) data from multiple sources into data platforms
• Contribute to data cleansing, validation, and transformation activities using Python and SQL
• Help prepare datasets for downstream consumption by analytics and data science teams
• Support batch and, where applicable, near-real-time data processing workflows under guidance
• Collaborate with data engineers, data scientists, and other team members in Agile delivery environments
• Build data engineering skills through training, mentorship, and hands-on delivery experience
• Work with functional and technical team members to help integrate data solutions into client business environments
Qualifications:
Required:
• Strong foundation in computer science fundamentals, including data structures and algorithms
• Strong analytical and problem-solving skills with attention to data quality and reliability
• Comfortable working onsite in a collaborative, team-based environment
• Ability to work effectively in a technology-driven consulting environment where tools, platforms, and client needs evolve over time
• Strong analytical and problem-solving skills, with the ability to approach complex tasks using structured, logical thinking
• Ability to learn new systems and technologies quickly and apply them in a delivery setting
• Proficiency in Python (preferred) or another programming language used for data processing
• Hands-on experience using data manipulation tools such as pandas, NumPy, and SQL, gained through coursework, labs, projects, or internships
• Ability to write clear, maintainable code for data transformation and processing tasks
• Understanding of ETL/ELT concepts and how data moves from source systems to consumption layers
• Familiarity with relational databases and SQL for querying and data manipulation
• Basic understanding of data modeling concepts such as schemas, normalization, or dimensional models
• Exposure to cloud-based data or analytics platforms (e.g., AWS, Azure, or Google Cloud) through coursework, labs, or projects
• Familiarity with core cloud data services such as object storage, databases, or analytics services
• Ability to translate business or functional requirements into technical solutions, with guidance from senior team members
• Comfortable working onsite in a collaborative, team-based environment
• Strong willingness to learn, accept feedback, and continuously improve
• Familiarity with generative AI concepts, including basic modeling approaches, responsible use, and ethical considerations, gained through coursework, projects, or self-study
Preferred:
• Master's Degree
• Exposure to distributed data processing tools such as Apache Spark or PySpark
• Familiarity with modern data warehouse technologies (e.g., Snowflake, Redshift, BigQuery)
• Exposure to streaming or event-based data concepts
• Familiarity with version control tools such as Git
• Basic awareness of how data engineering supports machine learning workflows
Company:
IBM provides technology and consulting, including software, infrastructure systems, and cloud-based solutions. Founded in 1911, the company is headquartered in Armonk, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Benefits

Hours and flexibility

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About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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