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Full Time Remote Snowflake Jobs (NOW HIRING)

Must have full-time permanent US work authorization. Additional Requirements * Professional ... Remote flexible work; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA amp;

Data Platform Architect (Snowflake)

$65.25 - $84/hr

Must have full-time permanent US work authorization Additional Requirements * Bachelor's Degree ... Remote flexible work; plus company office locations in Palm Coast, FL; Atlanta, GA; Tysons, VA amp;

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US.

Lead Data Engineer 2026- US

Atlanta, GA · On-site +1

$110K - $132K/yr

Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ... Willingness to travel We are actively seeking candidates for full-time, remote work within the US.

Remote/Homebased Full time JR014144 The Principal Solution Architect is a senior leadership role ... Snowflake, Databricks, or similar data platforms * Clean room technologies * Customer Data ...

Lead Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Strong proficiency in Snowflake tech, DBT, Airflow, Python, Java. * Experience with cloud data ... Work Flexibility This role is eligible for full time remote work.

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Full Time Remote Snowflake information

What is the difference between Full Time Remote Snowflake vs Full Time Remote Data Engineer?

AspectFull Time Remote SnowflakeFull Time Remote Data Engineer
Required SkillsSnowflake SQL, data warehousing, cloud platformsSQL, ETL, data modeling, cloud platforms
CertificationsSnowflake certifications preferredData engineering certifications (e.g., AWS, GCP)
Work EnvironmentRemote, cloud-based data platformsRemote, diverse data tools and pipelines
Industry UsageData warehousing, analyticsData pipeline development, integration

While both roles work remotely and involve cloud data platforms, Snowflake specialists focus on managing and optimizing Snowflake data warehouses, whereas Data Engineers build and maintain data pipelines across various tools. The roles overlap in cloud skills and SQL knowledge but differ in specific focus areas within data management.

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Cities with the most Full Time Remote Snowflake job openings:

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The most popular types of Remote Snowflake jobs are:

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Infographic showing various Full Time Remote Snowflake job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 1% Part Time, and 6% Contract. Highlights an 75% Physical, 7% Hybrid, and 18% Remote job distribution.

Data Analyst (Full-time, Remote)

Integrity Management Services, Inc.

Alexandria, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

About Us
http://www.integritym.com
Integrity Management Services, Inc. (IntegrityM) is an award-winning, women-owned small business specializing in assisting government and commercial clients in compliance and program integrity efforts, including the prevention and detection of fraud, waste and abuse in government programs. Results are achieved through data analytics, technology solutions, audit, investigation, and medical review.
At IntegrityM, we offer a culture of opportunity, recognition, collaboration, and supporting our community. We thrive off of these fundamental elements that make IntegrityM a great place to work. Our small, flexible workplace offers an exceptional quality of life and promotes corporate-driven sustainability. We deliver creative solutions that exceed goals and foster a dynamic, idea-driven environment that nurtures our employees' professional development. Large company perks...Small company feel!
Description:
In this role, the Data Analyst will provide analytical data support through data extraction, transformation, and analysis utilizing Python, SQL, and other statistical and data engineering tools. The Data Analyst will support data integration, ETL processes, reporting, and advanced analytics while working independently and collaboratively with project stakeholders to develop high-quality, data-driven solutions.
Job Responsibilities:
Business Analysis and Data Modeling
  • Design, develop, maintain, and optimize ETL (Extract, Transform, Load) processes to support data integration, validation, reporting, and analytics requirements.

  • Conduct routine and advanced business analysis using statistical techniques, data mining, and explanatory or predictive modeling to support operational and strategic decisions.

  • Build and apply complex analytical models and data solutions using tools such as Python, Snowflake, Databricks R, SQL and SAS to address project-specific requirements and support operational decision-making.

  • Research industry best practices and contribute to the development of data-driven solutions and actionable recommendations for improving business operations.

  • Write, troubleshoot, and optimize complex SQL queries, stored procedures, views, and data pipelines across relational and cloud-based data platforms.

  • Perform data profiling, cleansing, transformation, reconciliation, and quality assurance activities to ensure the accuracy and integrity of analytical datasets.

Client Engagement and Reporting
  • Collaborate with internal and external clients to gather analytical requirements and deliver ad hoc reports and data products that meet defined objectives.

  • Interpret business data and translate findings into clear, meaningful insights for diverse audiences, including technical and non-technical stakeholders.

  • Collaborate with business users, data engineers, and technical stakeholders to define data requirements and implement scalable data ingestion, transformation, and reporting solutions.

Collaboration and Communication
  • Participate in team projects and brainstorming sessions to evaluate methodologies and study designs that support program goals.

  • Communicate analytical methods and results clearly, ensuring procedures and outcomes are well understood by both technical teams and end users.

  • Research best practices and supports developing the solutions and recommendations for the current business operations.

  • Performs routine business analysis using various techniques (e.g. statistical analysis, explanatory and predictive modeling, data mining).

  • Provides business data interpretation.

  • Maintains strict confidentiality and security of all sensitive and/or business confidential information obtained or accessed during the course of business and/or contract operations.

  • Ensures compliance with all applicable privacy and security training requirements (both IntegrityM and external/client-based), whether on an annual or ad/hoc basis.

Requirements
  • Minimum of a Bachelor's Degree or a related discipline, or in another relevant field in health-related, scientific, or public policy/business discipline with extensive quantitative methods/statistical coursework.
  • Possesses at least 3 years of relevant experience in data analytics, SQL development, ETL processes, reporting, business intelligence, or related data management functions.
  • Strong proficiency in Python, R, SQL, and SAS, with experience utilizing cloud-based data platforms such as Snowflake and Databricks to support data analysis, project requirements, reporting, automation, and operational decision-making.
  • Experience designing, developing, maintaining, and troubleshooting ETL/ELT processes and data integration workflows within cloud-based environments such as Snowflake, Databricks, Azure, AWS, or similar platforms.
  • Strong SQL proficiency, including writing complex queries, joins, views, and stored procedures; performing data validation and performance optimization; and supporting data warehousing, reporting, and analytics initiatives.
  • Knowledge of intermediate data analysis techniques, including data profiling, trend analysis, statistical methods, and data quality assessment.
  • Responds to tasks or requests in a cooperative and timely manner.
  • Demonstrates adaptability to change and initiates or identifies change when necessary.
  • Ability to communicate effectively in writing and orally conveying results in concise yet non-technically language to a variety of different audiences.
  • Work collaboratively with team members to meet the needs of the organization.
  • Willingness to work collaboratively with team members on multiple tasks concurrently.
  • Independently can make good judgments and decisions without a high degree of supervision.
  • Detail-oriented and able to work under deadlines.
  • Ability to take initiative, to maintain confidentiality, to meet deadlines, and to work in a team environment.
  • Ability to report work activity on a timely basis.
  • Ability to multitask and prioritize assignments while meeting deadlines.
  • Must pass post hire background screening checks.
  • For remote work, required to have wired and/or wireless internet access.
  • Ability to obtain security clearance, if required by Client/Contract.

Benefits
This position is eligible for the benefits applicable to full-time regular employees, such as: vacation, sick leave, paid holidays, health insurance, dental insurance, vision insurance, short- and long-term disability, life insurance, employee assistance plan, 401(K) retirement plan, and educational benefits.
U.S. remote annual salary range: $55,000-$85,000/annual
For candidates in jurisdictions requiring range disclosure, this is the good-faith range for this role; final pay may vary by work location and job-related factors such as skills, experience, location, and internal equity. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
IntegrityM is an Equal Opportunity Employer and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, and gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.