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Remote Data Warehouse Jobs in Virginia (NOW HIRING)

Loan Review Senior Consultant

Mclean, VA · On-site +1

$98K - $163K/yr

The Loan Review Senior Consultant will use a secure, web-based virtual data warehouse and workflow ... Reviewers may support onsite or remote reviews, participate in quality assurance activities, and ...

Data Engineer, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0243464 Location: McLean,VA,US Share job via: Share Data Engineer ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Senior Database Developer

Mclean, VA · Remote

$120K - $140K/yr

This is a full-time and remote position. Astor is looking for an experienced Oracle Database ... Experience with the Data Warehousing technologies * Strong understanding of Master Data Management ...

$185K - $220K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy * Tax-deferred public transit benefits with Metro SmartBenefits ...

Staff Data Engineer

Arlington, VA · Remote

$185K - $220K/yr

Experience and understanding of data lakes/warehouses (e.g., Snowflake, Databricks, Redshift ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

This is a Remote position. Key Responsibilities * Data Collection and Preprocessing: * Develop robust data pipelines for acquiring, cleaning, and preprocessing large-scale datasets from various ...

IT HEDIS & Analytics Manager

Norfolk, VA · On-site +1

$29.25 - $38.75/hr

Seven or more years of experience in healthcare data, payer technology, analytics, data warehousing ... For positions that are available as remote work, Sentara Health employs associates in the following ...

We are seeking an inquisitive Data Scientist to join our team, leveraging deep expertise in ... Remote. This role may require up to 50% travel. Scope of Responsibilities * Developing new AI ...

Showing results 41-60

Remote Data Warehouse information

See Virginia salary details

$10

$49

$80

How much do remote data warehouse jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for remote data warehouse in Virginia is $49.57, according to ZipRecruiter salary data. Most workers in this role earn between $37.40 and $60.78 per hour, depending on experience, location, and employer.

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.

What are the most commonly searched types of Data Warehouse jobs in Virginia?

The most popular types of Data Warehouse jobs in Virginia are:

What are popular job titles related to Remote Data Warehouse jobs in Virginia?

For Remote Data Warehouse jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Data Warehouse jobs?

Cities in Virginia with the most Remote Data Warehouse job openings:

Infographic showing various Remote Data Warehouse job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $103,114 per year, or $49.6 per hour.

$64.25 - $85.75/hr

Full-time

Dental, Vision, Life, Retirement

Re-posted 8 days ago


Job description

Strategic Innovation Group (SIG) is seeking a Cloud/AI Engineer to design, develop, and deploy secure, scalable cloud-native and artificial intelligence solutions supporting Federal Aviation Administration (FAA) programs. This role serves as a senior technical leader responsible for modernizing legacy systems, architecting enterprise cloud platforms, developing production-grade AI applications, and implementing Generative AI capabilities including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI solutions. The successful candidate will collaborate closely with government stakeholders, product teams, and engineering staff to deliver innovative, mission-critical technologies that improve operational efficiency, enable data-driven decision-making, and advance the FAA's digital transformation initiatives while meeting stringent security, compliance, and governance requirements.

SIG is a fast growing 8(a) government contractor based in Arlington, Virginia. We offer a broad range of technical expertise and experience in Digital Transformation, Data Management/Data Science, and Systems Modernization. At SIG, our people are our mission. Come join our team! A successful candidate will be offered the following:

Greatwork/life balance
Eligibilityforperformance-basedparticipationincashbonuses
Potential toparticipatein growth of the company through incentives
Excellent benefits,includinghealth, dental, vision,generousPTO, a 401(k) with match, life insurance, short- and long-term disability,anda health savings account (HSA)
Additionally, this position is expected to be generally remote, with occasional visits to the office and client facilities in the Washington, DC metropolitan area as needed.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The essential functions include, but are not limited to the following:

  • Lead the design, development, deployment, and sustainment of secure, scalable cloud and AI solutions supporting FAA mission objectives.
  • Collaborate with government stakeholders to translate business requirements into innovative, mission-focused technology solutions.
  • Lead the modernization of legacy systems and enterprise platforms through cloud transformation and application modernization initiatives.
  • Establish and promote architecture, engineering, security, and software development best practices across project teams.
  • Provide technical leadership, mentoring, and guidance to engineering teams while supporting Agile project delivery.
  • Ensure solutions meet federal security, governance, compliance, and operational requirements throughout the system lifecycle.
  • Develop and maintain technical documentation, architecture artifacts, and implementation plans to support operations and compliance.
  • Evaluate emerging technologies, resolve complex technical challenges, and recommend improvements that enhance performance, reliability, and mission outcomes.
  • Perform other duties as assigned.

REQUIRED EXPERIENCE/QUALIFICATIONS

  • Bachelor's degree in Computer Science, Engineering, or a related technical field.
  • Cloud Engineer experience: 20+ years
  • AI Engineer experience: 3+ years
  • Experience delivering enterprise-scale technology solutions across public-sector and private-sector organizations, including highly ambiguous environments requiring problem discovery, requirements definition, and solution development.
  • Hands-on experience in cloud engineering, cloud-based application development, and full stack software engineering.
  • Proven track record designing, building, deploying, and operating production-grade applications spanning front-end interfaces, backend services, and cloud data platforms.
  • Experience migrating legacy on-premises systems to the cloud and refactoring monolithic legacy codebases into microservices architectures and cloud-native tooling, using Docker, Kubernetes, serverless services, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience leading or executing migrations from on-premises data warehouses to cloud-based data warehouse platforms (e.g., Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign, schema conversion, and validation of data integrity throughout the migration.
  • Strong proficiency in Python, JavaScript/TypeScript, React, FastAPI, SQL, Spark/PySpark, REST APIs, and modern software development frameworks.
  • Expertise implementing CI/CD pipelines, DevOps practices, infrastructure automation (e.g., Terraform, CloudFormation), and platform engineering principles to support scalable cloud delivery.
  • Experience integrating enterprise systems through APIs, event-driven architectures, workflow orchestration platforms, and distributed services.
    Strong understanding of software engineering fundamentals, distributed systems, cloud architecture, and cloud application engineering best practices.
  • Demonstrated ability to architect secure, scalable, and resilient cloud systems with attention to governance, auditability, data protection, and access controls.
  • Hands-on experience developing and deploying Generative AI solutions, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI systems, semantic search, and vector databases, integrated into cloud-native application architectures.
  • Experience managing the AI application lifecycle within cloud environments, including data ingestion, model integration, deployment, monitoring, observability, and continuous improvement using cloud-native MLOps tooling.
  • Proven ability to collaborate with business stakeholders, product teams, and technical leadership to translate business requirements into scalable technical solutions and AI-enabled products.
  • Experience delivering mission-critical applications in regulated, compliance-sensitive, or enterprise environments.
  • Strong analytical, problem-solving, and systems-thinking skills with the ability to identify operational challenges and develop technology solutions that deliver measurable business value.


PREFERRED EXPERIENCE/QUALIFICATIONS

  • Prior experience in federal contracting or highly regulated enterprise environments.
  • Active FAA clearance


SPECIAL REQUIREMENTS/SECURITY CLEARANCE

Must have ability to obtain a Public Trust clearance