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Snowflake Jobs in Springfield, VA (NOW HIRING)

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 Springfield, VA salary details

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How much do snowflake jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for snowflake in Springfield, VA is $70.62, according to ZipRecruiter salary data. Most workers in this role earn between $62.50 and $80.10 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 popular job titles related to Snowflake jobs in Springfield, VA? For Snowflake jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Springfield, VA look for? The top searched job categories for Snowflake jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Snowflake jobs? Cities near Springfield, VA with the most Snowflake job openings:
Infographic showing various Snowflake job openings in Springfield, VA as of July 2026, with employment types broken down into 93% Full Time, 2% Part Time, and 5% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $146,882 per year, or $70.6 per hour.
Snowflake Developer

Other

Posted 11 days ago


Accenture Federal Services rating

8.4

Company rating: 8.4 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

59th of 488 rated business services


Job description

The work: 

Key Responsibilities:

  • Translate requirements into effective solutions on the Snowflake platform
  • Ingest data into Snowflake and develop ETL pipelines
  • Build output datasets and data visualizations for clients
  • Write Python code for data processing and application support
  • Use visualization tools such as Shiny, Streamlit, or Superset
  • Apply SQL expertise for data manipulation and transformation
  • Utilize AWS cloud services to support data and application workflows
  • Build and test APIs for data integration
  • Leverage AI tools to support script and code development

Here is what you need:

  • US Citizen (Public Trust eligible)
  • Bachelor's degree in a technical field such as Computer Science, Systems Engineering, IT, or a related discipline
  • 4+ years of professional experience
  • Proficiency in SQL
  • Strong Python programming skills
  • Experience with Snowflake and developing ETL pipelines
  • Familiarity with AWS cloud services
  • Experience using container services such as Docker, Snowpark Container Services, ECS

Preferred experience:

  • Experience with visualization packages such as Shiny, Streamlit, or Superset
  • Experience building and testing APIs
  • Ability to translate complex requirements into efficient Snowflake-based solutions
  • Understanding of AI-assisted development tools

What Accenture Federal Services employees say

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Benefits

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