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Part Time Snowflake Jobs in Washington (NOW HIRING)

Data Engineer

Washington, DC · On-site

$62K - $141K/yr

... MSSQL, Orcale, Postgresql, or Snowflake * Cybersecurity Certification such as Security ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Alexandria, VA · On-site

$62K - $141K/yr

Experience with data warehousing, including AWS Redshift, MySQL, or Snowflake * Experience with ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Scientist, Mid

Arlington, VA · On-site

$77K - $176K/yr

... Snowflake, or Palantir Foundry * Ability to obtain a Secret clearance * HS diploma or GED and 5+ ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer, Senior

Mclean, VA · On-site

$77K - $176K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Experience with data warehousing using AWS Redshift, MySQL, or Snowflake * Experience with Agile ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Part Time Snowflake information

See Washington salary details

$15

$64

$106

How much do part time snowflake jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for part time snowflake in Washington is $64.70, according to ZipRecruiter salary data. Most workers in this role earn between $51.83 and $74.66 per hour, depending on experience, location, and employer.

Does Snowflake offer remote work?

Part Time Snowflake roles often offer remote work options, depending on the employer and specific position. Many companies in data and cloud services allow remote or hybrid schedules, especially for roles involving skills like SQL, data warehousing, and cloud platform management. Candidates should review individual job postings for remote work availability and requirements.

What are the key skills and qualifications needed to thrive as a Part Time Snowflake Data Engineer, and why are they important?

To thrive as a Part Time Snowflake Data Engineer, you need strong SQL skills, experience with cloud data warehousing, and a background in data modeling or computer science. Familiarity with the Snowflake platform, ETL tools, and relevant certifications such as Snowflake SnowPro are highly beneficial. Analytical thinking, clear communication, and the ability to troubleshoot data issues are crucial soft skills for success in this role. These competencies ensure efficient data processing, robust data solutions, and effective collaboration in dynamic business environments.

Are Snowflake jobs in high demand?

Snowflake-related jobs, including roles like data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly valued, and many organizations seek professionals with Snowflake expertise to manage and analyze large datasets.

What are part-time Snowflake jobs?

Part-time Snowflake jobs typically involve working with the Snowflake cloud data platform on a non-full-time basis. These roles may include responsibilities such as managing data warehousing solutions, creating and optimizing SQL queries, supporting data migration, and assisting with analytics using Snowflake. Part-time positions are ideal for professionals seeking flexible hours while still applying their skills in cloud-based data management. Employers often look for candidates with experience in SQL, data modeling, and familiarity with Snowflake’s architecture.

What are some common challenges faced by part-time Snowflake developers, and how can they be addressed?

Part-time Snowflake developers often face the challenge of staying updated with frequent platform updates and changes in best practices, especially when not working daily. Additionally, managing data pipelines and troubleshooting issues within limited hours can be demanding. Effective communication with full-time team members and leveraging thorough documentation can help bridge these gaps. Regularly scheduling sync meetings and utilizing Snowflake’s robust online community can also support continuous learning and problem-solving.

What is the difference between Part Time Snowflake vs Part Time Data Engineer?

AspectPart Time SnowflakePart Time Data Engineer
Required CredentialsSnowflake certifications, SQL knowledgeSQL, ETL tools, cloud platform certifications
Work EnvironmentCloud-based data platform, remote or on-siteData pipelines, cloud environments, collaborative teams
Employer & Industry UsageTech, finance, retail companies using SnowflakeVarious industries managing data workflows
Search & Comparison IntentFocus on Snowflake-specific rolesBroader data management roles

Part Time Snowflake roles focus on managing and optimizing data within the Snowflake platform, requiring Snowflake-specific certifications. Part Time Data Engineer positions involve building and maintaining data pipelines across various platforms, often requiring broader technical skills. While both roles work with data, Snowflake specialists concentrate on the Snowflake environment, whereas Data Engineers handle diverse data workflows.

Is it hard to get hired at Snowflake?

Getting hired for a Part Time Snowflake role can vary depending on the candidate's experience with data warehousing, SQL, and cloud platforms. Strong technical skills, relevant certifications, and a good understanding of Snowflake's environment can improve chances, but competition may be high for such positions.

Is Snowflake a high paying job?

A part-time Snowflake role typically offers lower pay compared to full-time positions or specialized data roles, but compensation can vary based on experience, location, and responsibilities. Snowflake skills, such as working with cloud data platforms and SQL, may lead to higher-paying opportunities in data management and analytics fields.
What are the most commonly searched types of Snowflake jobs in Washington? The most popular types of Snowflake jobs in Washington are:
What cities in Washington are hiring for Part Time Snowflake jobs? Cities in Washington with the most Part Time Snowflake job openings:
Infographic showing various Part Time Snowflake job openings in Washington as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $134,584 per year, or $64.7 per hour.
Senior Analyst (Economics) PT - Hybrid, DC Area

Senior Analyst (Economics) PT - Hybrid, DC Area

BluePath Labs

Washington, DC • On-site

$40 - $90/hr

Full-time, Part-time

Posted yesterday


Job description

Senior Analyst (Economics) PT - Hybrid

Location: Washington, D.C.

Clearance: TS/SCI (active)

Salary Range: $40 - $90/hr

BluePath Labs is a fast-growing research and consulting company committed to solving complex problems for federal, state, and local government clients. We offer a range of professional, scientific, and technology services. Our specific areas of expertise include business consulting, research and data science, and technology integration.

We are actively seeking an experienced Part Time Senior Analyst to support our civilian agency client in efforts to advance national security, foreign policy, and economic interests.

This role will report in person to the civilian agency in Washington, DC 20230 two to three days per week.

Work Description:

The civilian agency develops export control policies, issues export licenses, and prosecutes violators to heighten the nation's economic prosperity. Additionally, the agency develops and implements policies and programs that ensure a strong, technologically superior defense industrial base. The objective of this project is to enhance the Office of Technology Evaluation's ability to conduct technical analysis, research, data analytics, data visualization, and technical support for the agency Export Administration (EA).

In support of this program, the Senior Analyst will provide economic trade data and analysis in support of agency activities. The Senior Analyst will respond to queries about trade related data sets and conduct advanced data analysis in support of reports, investigations, and special projects.

Responsibilities: The Senior Analyst will support tasks such as:

  • Conduct qualitative and quantitative analyses of export policies and national security controls, U.S. industry's economic/regulatory concerns, and any impact to the Export Control Reform Act.
  • Develop and apply operations research / statistical / mathematical / artificial intelligence / machine learning methodologies and techniques to analyze the effects of export controls
  • Review export and reexport transactions to identify noncompliance from foreign intermediaries and end users through a variety of data sources.
  • Support consultation with Allies/partner countries and outreach to industry.
  • Gather and analyze data to assess effectiveness of licensing system and multilateral partnerships.
  • Analyze and assist the evaluation of the capabilities, effectiveness, feasibility, and costs of proposed alternative export policies.
  • Apply advanced statistical and quantitative evaluation methods to develop and or recommend courses of action, management methodologies, and action implementation plans in directed recurring studies.
  • Support and advise on implementation of collaborative knowledge management systems, (i.e., Palantir Foundry, SharePoint, SQL, data management)

Minimum Requirements:

  • U.S. Citizenship
  • Bachelor's Degree in Economics, Statistics, Mathematics, International Relations, Public Policy, Social Sciences, or other relevant field
  • 6+ years of relevant trade data analysis experience
  • Ability to write SQL queries and analyze / present results
  • Proficient with data preparation and visualization tools such as PowerBI and Snowflake

Preferred Qualifications:

  • Working knowledge of data science programming in Python
  • Working knowledge of Palantir Foundry applications
  • Understanding of common data science toolkits
  • Independent problem-solving
  • Strong writing and editing skills
  • Willingness to learn
  • Ability to collaborate and work effectively remotely and in-person

About BluePath

BluePath Labs combines mission and business insights with advanced technologies to deliver measurable performance improvements for our clients. BluePath is dedicated to surpassing client expectations by always living by our core values of integrity, professionalism, and resilience. BluePath's extensive experience in Government, Military, Commercial, and Academic environments is unique among small businesses and a core differentiator of our solutions. Our multidisciplinary background allows us to solve diverse and complex problems. Most importantly, we work closely with our clients to frame problems correctly, optimize processes, leverage technologies, and implement enduring solutions. Labs are where ideas are born, experiments occur, and breakthroughs happen. It is the hallmark of BluePath's culture.

https://www.bluepathlabs.com/

BluePath Labs is an equal opportunity employer.