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Remote Snowflake Jobs in Virginia (NOW HIRING)

Cloud/AI Engineer

Arlington, VA · Remote

$64.25 - $85.75/hr

  • Dental

  • Vision

  • Life

  • Retirement

... remote, with occasional visits to the office and client facilities in the Washington, DC ... Snowflake, Amazon Redshift, Google BigQuery, Azure Synapse), including data pipeline redesign ...

Data Architect

Arlington, VA · On-site +1

$145K - $165K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote Compensation: $145,000 - $165,000 / year Description At Nüvitek, customer success is our ... Familiarity with Snowflake or other data warehousing tools. * Experience with low-code platform ...

Data Engineer

Chantilly, VA · On-site +1

$99K - $225K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245506 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Snowflake * 5+ years of experience with UNIX and Linux, including basic commands and Shell ...

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 ...

$185K - $220K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

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 ...

Solution Architect (FINS)

Mclean, VA · On-site +1

$63.75 - $84/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote flexible work; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA amp ... Snowflake ecosystems; plus occasional in-house competitions with spot bonuses * A flexible and fun ...

This is a Remote position. Key Responsibilities * Data Ingestion and Integration: * Design and ... Knowledge of data warehousing concepts and technologies (e.g., Redshift, BigQuery, Snowflake)

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245362 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: No Job Number: R0245235 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242536 Location: Arlington,VA,US Share job via: Share Data ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Data Engineer, Senior

Mclean, VA · On-site +1

$77K - $176K/yr

  • Medical

  • Life

  • Retirement

  • PTO

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 ...

Data Engineer

Arlington, VA · On-site +1

$62K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Remote Work: Hybrid Job Number: R0242942 Location: Arlington,VA,US Share job via: Share Data ... Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ...

Showing results 41-60

Remote Snowflake information

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

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a remote Snowflake?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

Does Remote Snowflake hire remotely?

Remote Snowflake positions are often available for remote work, depending on the role and company policies. Many companies that use Snowflake for data warehousing offer remote opportunities, especially for roles involving data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for remote work options and requirements.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

Does Remote Snowflake have a work from home policy?

Remote Snowflake positions typically offer flexible work arrangements, including the option to work from home, depending on the role and team requirements. Many remote roles in data and cloud environments prioritize virtual collaboration tools and asynchronous communication. Candidates should review specific job postings for detailed work-from-home policies.

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

The most popular types of Snowflake jobs in Virginia are:

What cities in Virginia are hiring for Remote Snowflake jobs?

Cities in Virginia with the most Remote Snowflake job openings:

Infographic showing various Remote Snowflake job openings in Virginia as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution.

$64.25 - $85.75/hr

Full-time

Dental, Vision, Life, Retirement

Re-posted 7 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