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Remote Data Warehouse Jobs in Raleigh, NC (NOW HIRING)

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Analyze data and interpret results to inform AI training datasets with precision * Apply ...

Sr Staff AI Architect

Raleigh, NC · On-site +1

$143K - $185K/yr

This is a remote role open in the US only. What will you do? The AI & Data Architect will define ... warehouse architectures) and API/microservices-based integrations * Establish standards for ...

This role is fully remote (US-based) and requires working Eastern Standard Time hours. Essential ... Expertise in cloud platforms (AWS, Azure, or GCP) and data warehousing solutions. * Solid ...

100% remote. Our direct client has an opening for a Java Developer 11628-1 This position is up to ... data denormalization and warehousing processes • Optimize SQL and expression-based workflows ...

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Remote Data Warehouse information

See Raleigh, NC salary details

$10

$49

$79

How much do remote data warehouse jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for remote data warehouse in Raleigh, NC is $49.27, according to ZipRecruiter salary data. Most workers in this role earn between $37.18 and $60.41 per hour, depending on experience, location, and employer.

What is a Remote Data Warehouse job?

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, and why are they important?

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.

What are the most commonly searched types of Data Warehouse jobs in Raleigh, NC? The most popular types of Data Warehouse jobs in Raleigh, NC are:
What are popular job titles related to Remote Data Warehouse jobs in Raleigh, NC? For Remote Data Warehouse jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Remote Data Warehouse jobs in Raleigh, NC look for? The top searched job categories for Remote Data Warehouse jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Remote Data Warehouse jobs? Cities near Raleigh, NC with the most Remote Data Warehouse job openings:
Infographic showing various Remote Data Warehouse job openings in Raleigh, NC as of June 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $102,483 per year, or $49.3 per hour.
Domain Expert - (STEM PhD)

Domain Expert - (STEM PhD)

micro1 AI

Raleigh, NC • Remote

$80 - $90/hr

Part-time

Posted 10 days ago


Job description

Role Title: PhD Engineer (Electrical, Mechanical, Chemical)


Role Type: Contractor


Location: Remote


micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to contribute to a high-impact customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Deliver authoritative written responses to complex engineering prompts in your area of expertise
  2. Review and interpret scientific literature to provide contextually accurate and current insights
  3. Design and document realistic experimental scenarios based on advanced engineering principles
  4. Analyze data and interpret results to inform AI training datasets with precision
  5. Apply sophisticated calculus and quantitative methodologies to problem-solving tasks
  6. Ensure clarity, accuracy, and completeness of all submitted materials based on provided guidelines
  7. Collaborate with project coordinators to refine prompt response quality as needed


Preferred Qualifications

  1. PhD in Electrical, Mechanical, or Chemical Engineering
  2. Demonstrated expertise in calculus, data analysis, research methodology, and experimental design
  3. Exceptional written and verbal communication skills with the ability to convey complex concepts clearly
  4. Strong literature review capabilities and familiarity with synthesizing scientific knowledge
  5. Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not required)
  6. Proven ability to produce "golden response" level deliverables with accuracy and completeness
  7. Detail-oriented mindset and commitment to high-quality, impactful contributions