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Remote Geophysical Data Processor Jobs in Ohio (NOW HIRING)

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... Document systems, processes, and decisions to build long‑term institutional knowledge What You ...

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Remote Geophysical Data Processor information

What is the difference between Remote Geophysical Data Processor vs Geophysical Data Analyst?

AspectRemote Geophysical Data ProcessorGeophysical Data Analyst
CredentialsTypically requires geophysical or geology-related certifications, technical training in data processingRequires similar certifications, often with additional analytical or statistical qualifications
Work EnvironmentPrimarily remote, working with geophysical data sets from various sourcesOften remote or on-site, analyzing geophysical data to interpret results
Industry UsageCommon in oil & gas, environmental, and mineral exploration companiesUsed across energy, environmental consulting, and research sectors

The Remote Geophysical Data Processor focuses on processing raw geophysical data using specialized software, while the Geophysical Data Analyst interprets processed data to provide insights. Both roles require technical skills and industry knowledge, but their core responsibilities differ in data handling versus analysis and interpretation.

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Remote Geophysical Data Processor jobs near you

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Posted 4 days ago

Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do

  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have

  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams