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Remote Data Warehouse Jobs (NOW HIRING)

LT Apparel Group

Data Analyst

Milford, CT · Remote

$22 - $28/hr

Remote (U.S. Based Preferred) Job Type: Part-Time (Flexible Hours) Pay: $22-$28 per hour (based on ... data warehouse and reporting system enhancements Troubleshoot data issues and reporting errors ...

NTT DATA Services

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Write complex SQL and Python validation scripts to compare data warehouse sources against tabular ...

NTT DATA Services

Remote Data QA

Atlanta, GA · On-site +1

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Write complex SQL and Python validation scripts to compare data warehouse sources against tabular ...

NTT DATA Services

Remote Data QA

Atlanta, GA · Remote

$93K - $162K/yr

We are currently seeking a Remote Data QA to join our team in Atlanta, Georgia (US-GA), United ... Write complex SQL and Python validation scripts to compare data warehouse sources against tabular ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

As a Sr. Manager of the Data Warehouse, you will report to the Data Warehouse Director and work ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

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Remote Data Warehouse information

What is a remote data warehouse?

A Remote Data Warehouse job involves designing, managing, and optimizing large-scale data storage systems for businesses, all while working remotely. Professionals in this role develop ETL processes, ensure data integrity, and enhance performance for analytics and reporting. They collaborate with data engineers, analysts, and business teams using cloud-based or on-premises solutions. Strong SQL, cloud computing, and data modeling skills are essential for success in this role.

What does a typical workday look like for someone in a remote data warehouse position?

A typical day in a Remote Data Warehouse role involves designing and maintaining data pipelines, troubleshooting data quality issues, writing and optimizing complex SQL queries, and collaborating with data analysts, engineers, and business stakeholders through virtual meetings. You may spend time automating ETL processes, documenting data architecture, and ensuring performance and security of large datasets. Communication and project management occur primarily through digital tools like Slack, Jira, or Trello. This remote structure provides flexibility while requiring strong self-management and proactive communication to succeed in a globally distributed environment.

What are the key skills and qualifications needed to thrive in the remote data warehouse position?

To excel in a Remote Data Warehouse role, you need strong expertise in data modeling, ETL (Extract, Transform, Load) processes, and proficiency with database management systems such as SQL, Snowflake, or Amazon Redshift, typically supported by a relevant degree in computer science or information systems. Experience with cloud data platforms, data integration tools, and certifications like AWS Certified Data Analytics or Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are essential, especially when collaborating across distributed teams. These competencies ensure efficient data management, enable seamless remote collaboration, and drive successful data-driven decision-making for organizations.

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Remote Data Warehouse jobs near you
Infographic showing various Remote Data Warehouse job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 2% Part Time, and 24% Contract. Highlights an 100% Remote job distribution.

Data Warehouse Analyst

Noblesoft Technologies

Secaucus, NJ • Remote

Contractor

Re-posted 9 days ago

Job description

Job Title: Senior Data Warehouse Analyst
Location: Secaucus, NJ(Remote)
Mandatory - GCP BigQuery, Data Lineage, BI & Analytics
Job Description / Key Responsibilities: 
The Senior Data Warehouse Analyst will be responsible for analyzing, designing, and documenting
end-to-end data warehouse solutions on Google Cloud Platform (GCP), with a strong focus on
BigQuery modernization, data lineage documentation, and business intelligence (BI) source
mapping. This role requires close collaboration with data engineers, business stakeholders, and
product owners to ensure analytical requirements are met through robust and scalable data
warehouse designs.
Key Responsibilities
- Analyze existing on-premise or cloud data warehouses and define migration paths to GCP
BigQuery.
- Develop detailed source-to-target mapping (STM) and data lineage documentation for ETL/ELT
processes and BI reports.
- Perform data validation and reconciliation across layers (staging, warehouse, semantic layer, BI).
- Partner with BI developers to ensure consistent data definitions and metrics alignment across
visualization tools.
- Support data quality monitoring, data profiling, and issue resolution to ensure trusted analytics.
- Provide domain knowledge to support business requirements gathering and solution
walkthroughs.
- Support UAT (User Acceptance Testing) and contribute to data governance activities.
- Create and review Source System Interface Agreements or Data Delivery Agreements to ensure
clarity in data ownership, frequency, and delivery standards.
Technical & Soft Skills Required
- Strong hands-on experience with Google BigQuery, SQL scripting, and data modeling
(Star/Snowflake schemas).
- Experience in data warehouse migration from on-premise systems (e.g., Teradata, Oracle,
Netezza, SQL Server) or other cloud platforms (Snowflake, Redshift) to GCP BigQuery.
- Solid understanding of data lineage, metadata management, and source-to-report traceability.
- Proven experience in requirement analysis, user story creation, and defining acceptance criteria in
Agile environments.
- Knowledge in any BI tools for data validation and lineage documentation.
- Strong SQL optimization and performance tuning capabilities.
- Familiarity with ETL/ELT frameworks (e.g., Dataflow, Dataform, dbt, Informatica, Talend,
Matillion).
- Good communication skills, interactions with end users on requirement validations.
- Agile work experience.