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Remote Snowflake Jobs in Washington (NOW HIRING)

Senior Full Stack .NET Developer

VA ยท Remote

$150K - $175K/yr

Senior Full Stack .NET Developer Remote | $150,000-$175,000 Annually We are seeking a highly ... Kafka, Snowflake, Cassandra, or similar technologies * Strong foundation in computer science ...

Data Engineer

Washington, DC ยท Remote

$117K - $140K/yr

What You'll Do Build and maintain our data pipeline infrastructure, spanning ingestion through Fivetran and custom pipelines from our GCP production systems into Snowflake. You'll own our dbt ...

Customer Success Engineer, Federal

Washington, DC ยท On-site +1

$110K - $180K/yr

With a global workforce, we're remote-first and grounded in a simple idea: software is a people ... Snowflake, etc.) * Solid technical understanding of managing customers through Customer Success ...

Demonstrated, hands-on experience with SQL and Python; a Snowflake environment a plus ... remote

LLM Specialist

Columbia, MD ยท On-site +1

$93K - $100K/yr

... g., Databricks, Snowflake, Spark). * Strong skills in exploratory data analysis, feature ... Working Environment : eSimplicity supports a remote work environment operating within the Eastern ...

Showing results 41-60

Remote Snowflake information

See Washington salary details

$40

$76

$96

How much do remote snowflake jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for remote snowflake in Washington is $76.57, according to ZipRecruiter salary data. Most workers in this role earn between $67.79 and $86.83 per hour, depending on experience, location, and employer.

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.

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 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 a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

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

The most popular types of Snowflake jobs in Washington are:

What are popular job titles related to Remote Snowflake jobs in Washington?

For Remote Snowflake jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Remote Snowflake jobs in Washington look for?

The top searched job categories for Remote Snowflake jobs in Washington are:

What cities in Washington are hiring for Remote Snowflake jobs?

Cities in Washington with the most Remote Snowflake job openings:

Infographic showing various Remote Snowflake job openings in Washington as of August 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 74% Physical, 7% Hybrid, and 19% Remote job distribution, with an average salary of $159,266 per year, or $76.6 per hour.

Senior Data Scientist - Machine Learning & AI

Team Velocity

VA โ€ข Remote

$140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 18 days ago


Job description

Senior Data Scientist – Machine Learning & AI
Remote | Full-Time |

Team Velocity is seeking a Senior Data Scientist to develop and deploy machine learning, predictive analytics, and AI solutions that improve customer engagement, marketing performance, operational efficiency, and business intelligence.

This is a hands-on role for an experienced data scientist who can take models from data exploration and development through production deployment, monitoring, and optimization. You will partner with Product, Data Engineering, Software Engineering, Analytics, and business leadership to deliver measurable business impact.

This is a full-time remote position. Candidates must reside in the Continental U.S. and be able to support an 8:30 AM–5:30 PM ET business hours. Eastern and Central Time Zones highly preferred.

KEY RESPONSIBILITIES

  • Design, build, evaluate, and deploy production machine learning models.
  • Develop predictive models for churn, propensity, lead scoring, customer lifetime value, recommendations, forecasting, personalization, and marketing attribution.
  • Perform statistical analysis, hypothesis testing, A/B testing, causal inference, and time-series analysis.
  • Build feature engineering, model training, and inference pipelines.
  • Deploy and monitor ML models, including model performance, drift detection, and retraining.
  • Apply Generative AI, LLMs, RAG, and vector databases to business and customer applications.
  • Partner with Product, Engineering, Analytics, and leadership to translate business problems into scalable data science solutions.
  • Mentor junior data scientists and establish best practices for model development, documentation, and code quality.

REQUIREMENTS

  • Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; Master's or PhD preferred.
  • 5+ years | Python + SQL | production ML | predictive modeling | model deployment | MLOps | cloud | measurable business impact
  • Proven ability to deliver measurable business impact through data science and machine learning.
  • Strong communication, analytical, and business problem-solving skills.
  • Expert Python and SQL skills.

TECHNICAL EXPERIENCE

  • Machine Learning: XGBoost, LightGBM, Random Forest, Neural Networks, Deep Learning
  • Statistics: Regression, Bayesian methods, hypothesis testing, experimental design, causal inference, time series
  • Data & Cloud: Snowflake, dbt, Spark, Airflow, GCP preferred; AWS or Azure considered
  • MLOps: MLflow, Kubeflow, Vertex AI, feature stores, CI/CD, model monitoring
  • AI/LLMs: OpenAI, Gemini, Claude, LangChain, LangGraph, RAG, embeddings, vector databases
  • Experience with data quality and observability tools such as Great Expectations or Monte Carlo is a plus.

*You do not need experience with every technology listed above. Strong production machine learning experience is the priority.

Preferred Experience

  • Large-scale customer or behavioral data
  • Marketing analytics, personalization, or customer intelligence
  • SaaS, automotive, retail, advertising, or marketing technology
  • Real-time inference or streaming data
  • Production Generative AI applications

COMPENSATION & BENEFITS
The expected starting salary is $140,000 annually, based on experience, skills, and qualifications. Benefits include medical, dental, vision, 401(k) matching, unlimited paid leave, wellness programs, and more.

NEXT STEPS
If you meet the requirements, and are interested in applying for this role, please complete the online employment application and be sure to upload a current resume and current contact information.

About Team Velocity
Team Velocity is a full-service marketing and technology company serving automotive manufacturers and dealerships nationwide. Our proprietary Apollo® technology platform uses data, predictive analytics, and AI to predict consumer behavior, personalize marketing, and help dealerships increase sales and service revenue.

Join us in applying data science, machine learning, and AI to real-world business problems at scale.