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Wherescape 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 ...

Grainger Businesses

Data Engineer - 332427

Lake Forest, IL · On-site

$153K - $174K/yr

Design and maintain scalable ETL workflows and automate data transformations and orchestration using Airflow, DBT, Wherescape, and scripting languages including Python, SQL, and shell scripting ...

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$80.5K

$112.5K

$135.5K

How much do wherescape jobs pay per year?

As of Jul 31, 2026, the average yearly pay for wherescape in the United States is $112,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a Wherescape job?

A Wherescape job typically involves working with WhereScape, a data automation platform used for building, managing, and optimizing data warehouses. Professionals in this role use WhereScape tools like WhereScape RED and WhereScape 3D to automate ETL processes, enhance data modeling, and improve data pipeline efficiency. Responsibilities may include designing data solutions, creating workflows, and working with databases such as SQL Server, Oracle, or Snowflake. This role is common in data engineering, analytics, and business intelligence teams to streamline data operations and improve decision-making.

What are the key skills and qualifications needed to thrive in the Wherescape position, and why are they important?

To thrive in a WhereScape Developer or Data Engineer role, you need strong data warehousing knowledge, proficiency in SQL, ETL concepts, and a background in computer science or a related field. Experience with WhereScape automation tools (such as WhereScape RED and 3D), along with familiarity in leading database platforms and data modeling, is typically expected. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with both technical and non-technical stakeholders are important soft skills. These competencies ensure efficient automation of data warehouse processes, deliver robust solutions, and facilitate smooth project delivery in fast-paced environments.

What are the main responsibilities of a WhereScape Developer on a typical project?

A WhereScape Developer is primarily responsible for designing, building, and automating data warehouse solutions using WhereScape's suite of tools. This includes collaborating with business analysts and data architects to understand requirements, creating efficient ETL workflows, and maintaining documentation throughout the development lifecycle. Developers also optimize and troubleshoot data processes, ensure data quality, and may provide support and training to end-users or team members. Working closely in project teams, they play a vital role in delivering scalable data solutions that support business intelligence and analytics initiatives.

More about Wherescape jobs
What are the most commonly searched types of Wherescape jobs? The most popular types of Wherescape jobs are:
What job categories do people searching Wherescape jobs look for? The top searched job categories for Wherescape jobs are:
Wherescape jobs near you
Infographic showing various Wherescape job openings in the United States as of July 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $112,500 per year, or $54.1 per hour.

DCH-Senior Business Domain Data Modeler (773543)

R2 Technologies Corporation

Atlanta, GA • On-site

Full-time

Re-posted 20 days ago

Job description

Overview:
Senior Business Domain Data Modeler (773543)
Local to Atlanta GA
Hybrid: Candidate MUST be on-site every 4th Wednesday of the month.
Roles and Responsibilities
The Senior Business Domain Data Modeler will, at minimum, perform the following:
• Implement and maintain data models that accurately represent business requirements.
• Enhance existing data models to improve efficiency, data quality and user-friendliness.
• Perform regular data reconciliation tasks to identify and resolve discrepancies between different data sources.
• Monitor, assess, and improve data quality to ensure accuracy, consistency and completeness.
• Implement and validate business rules to ensure compliance with organizational policies and objectives.
• Ensure that all business rules and logic changes are reflected accurately across the data architecture.
• Test and validate any changes made to data logic to ensure correctness and consistency using Validatar tool.
• Identify and implement opportunities for data enhancements to improve data quality and efficiency.
• Maintain thorough and accurate documentation of all data processes, changes and enhancements.
• Assist with the design and modification of the EASE Data Warehouse Solution
• Create and optimize data models to support health information analytics
• Collaborate with the Analytics Manager, Data Scientists and EASE uses to develop and design
• Information Marts to support self-service for business queries and data visualization
• Create documentation and/or training materials for new users
• Provide operational support for Business Intelligence Tools
Minimum Qualifications
• At least 5 years of Data warehouse modeling experience
• Cloud Architecture skills
• 3 years of SQL experience
• 2 years of WhereScape RED and 3D experience
• 1 year of Snowflake experience
• BA or BS in Business Information Systems, Information Technology, Computer Science or related field.
• Extremely strong analytical, critical thinking and problem-solving skills
• Excellent speaking and writing skills
• Attention to detail
• High personal and professional integrity
• Collaborate well with a team
• Manages time well
• Familiarity with WhereScape, Validatar, Snowflake, Jira, Confluence, BOX, Amazon Web Services, Tableau.
Preferred Qualifications
• Bachelor's degree as mentioned above.
• Strong understanding of data management principles.
• Experience in creating conceptual, logical, and physical data models.
• Hands-on experience with data modeling projects.
• Business analysis experience.
• Desired Skills
• Results orientation, willingness to commit to a direction and drive operations to completion
• Demonstrated ability to manage adversity and challenging situations
• Ability to articulate vision of transformation efforts
• High personal and professional integrity
• Ability to develop cooperative and constructive relationships
• Ability to collaborate with a team
• Ability to identify and understand the existing organizational culture
• • Ability to build trust and cooperation amongst a team
Skills:
Data Modeling,RED and 3D experience,Snowflake,AWS,Validatar,Jira

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