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Snowflake Jobs in Reston, VA (NOW HIRING)

Snowflake

Arlington, VA · On-site

$131K - $158K/yr

Snowflake Data Engineer Location: Arlington, VA (Onsite) Role Overview A hands-on Snowflake Developer / Data Engineer with an architectural mindset to design and build scalable enterprise data ...

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

Senior Litigation Counsel

Mclean, VA · On-site

$202K - $265K/yr

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they ...

Snowflake Data Engineer

Washington, DC · On-site

$150K - $190K/yr

Our client is looking to fill the role of Snowflake Data Engineer for a hands-on role within the Global Credit Technology team. Contribute to the ongoing development and enhancement of the Snowflake ...

Data Engineer - PySpark, Snowflake & AWS

Mclean, VA · On-site

$115K - $139K/yr

Engineer comprehensive Snowflake data platforms including warehouses, schemas, data models, Iceberg Tables, Dynamic Tables, and Materialized Views * Modernize legacy ETL workloads to cloud-based ELT ...

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Snowflake information

See Reston, VA salary details

$37

$70

$88

How much do snowflake jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for snowflake in Reston, VA is $70.33, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $79.76 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and experience with cloud environments can enhance job prospects in this field.

What is a Snowflake job?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

How much do Snowflake employees make?

Salaries for Snowflake employees vary by role, experience, and location, but the average base salary ranges from approximately $100,000 to $150,000 annually for many positions. Technical roles such as data engineers and software engineers tend to be higher, often exceeding $120,000, with additional compensation like bonuses and stock options common in the company’s compensation packages.

Is Snowflake skill in demand?

Snowflake skills are highly in demand as organizations increasingly adopt cloud data warehousing solutions. Professionals with expertise in Snowflake, along with knowledge of SQL and data management, often find strong job opportunities across various industries.

How hard is it to get a job at Snowflake?

Getting a job as a Snowflake professional typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with experience in data management or analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving ability, and cultural fit, making it competitive but achievable with proper preparation.

What are the key skills and qualifications needed to thrive in the Snowflake position, and why are they important?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Reston, VA? The most popular types of Snowflake jobs in Reston, VA are:
What cities near Reston, VA are hiring for Snowflake jobs? Cities near Reston, VA with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Reston, VA as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 78% In-person, and 22% Remote job distribution, with an average salary of $146,295 per year, or $70.3 per hour.

$131K - $158K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Snowflake Data Engineer

Location: Arlington, VA (Onsite)

Role Overview

A hands-on Snowflake Developer / Data Engineer with an architectural mindset to design and build scalable enterprise data platforms on Snowflake (Google Cloud Platform). The role requires experience in standing up modern data platforms, with exposure to Value-Based Care (VBC) data models and familiarity with Data Foundry-style enterprise data platforms.

Key Responsibilities

·  Design, develop, and optimize data pipelines and data models on Snowflake

·  Contribute to enterprise data platform setup (greenfield / modernization)

·  Implement solutions aligned to modern data architectures (lakehouse / Data Foundry)

·  Build and manage data layers (ingestion, curated, semantic)

·  Enable integration across EMR, claims, and external datasets

·  Ensure governance, lineage, and data quality

Core Technical Skills

·  Hands-on Snowflake experience (3–5+ years)

·  Snowflake on Google Cloud Platform

·  Advanced SQL and data modeling

·  ETL/ELT tools (dbt, Airflow)

·  Batch and streaming ingestion patterns

Platform & Data Foundry Experience

·  Experience building enterprise data platforms

·  Understanding of Data Foundry frameworks (ingestion, governance, reuse)

·  Ability to contribute to architecture and scalability decisions

·  Knowledge of lakehouse and modern data practices

Healthcare / VBC Experience (Preferred)

·  Population health and care management data

·  Claims + clinical + EMR integration

·  Patient / Member 360 models

·  FHIR / HL7 exposure