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Wherescape Red Jobs (NOW HIRING)

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

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 ...

Cleveland Steel Container

Data Engineer

Hudson, OH · On-site

$104K - $125K/yr

Experience with WhereScape RED, Matillion, Airbyte, dbt, or comparable ELT automation tools * Working knowledge of Python for data processing and scripting * Experience with API integrations and ...

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How much do wherescape red jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for wherescape red in the United States is $35.32, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $54.57 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a WhereScape Red Developer, and why are they important?

To thrive as a WhereScape Red Developer, you need strong data warehousing knowledge, experience with ETL processes, and familiarity with relational databases and SQL. Proficiency in using WhereScape Red software, along with understanding data modeling concepts and possibly certifications in data engineering or BI tools, is highly beneficial. Analytical thinking, attention to detail, and effective communication are crucial soft skills for collaborating with stakeholders and ensuring accurate data solutions. These competencies are essential for efficiently designing, automating, and managing robust data warehouse solutions that meet organizational needs.

What types of projects can I expect to work on as a WhereScape Red developer, and how does this tool influence team collaboration?

As a WhereScape Red developer, you'll typically work on data warehousing and ETL automation projects, helping organizations streamline data integration and reporting. The tool's metadata-driven approach encourages close collaboration with data architects, business analysts, and DBAs, as it enables rapid prototyping and iterative development based on stakeholder feedback. You'll often participate in daily stand-ups or agile ceremonies, where sharing progress and addressing data modeling challenges is common. WhereScape Red's automation capabilities also free up time for more strategic discussions on data quality and business requirements.

What is WhereScape Red?

WhereScape Red is a data warehouse automation software that helps organizations design, develop, deploy, and manage data warehouses and data marts. It automates much of the coding and documentation required for building data infrastructure, enabling faster delivery and improved accuracy. WhereScape Red supports multiple data platforms and helps teams adapt quickly to changing business requirements by streamlining ETL (Extract, Transform, Load) processes and reducing manual intervention.

What is the difference between Wherescape Red vs Wherescape Data Warehouse Developer?

FeatureWherescape RedWherescape Data Warehouse Developer
CertificationsWherescape certifications, data warehousing knowledgeTypically Wherescape certifications, SQL, data modeling
Work EnvironmentData integration and automation platformDesigning, developing, and maintaining data warehouses
Industry UsageUsed by data teams for automationEmployed by data engineers and BI teams

Wherescape Red is a data automation tool used to streamline data warehouse development, while a Wherescape Data Warehouse Developer is a professional who designs and builds data warehouses using tools like Wherescape Red. The former focuses on platform capabilities, the latter on practical implementation and development tasks.

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Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Posted 22 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