Remote Snowflake Data Engineer Jobs
Remote Snowflake Data Engineer jobs are open across the U.S. in sectors like financial services, healthcare, technology, and retail analytics, at remote-first companies and distributed data teams ranging from early-career roles to senior and staff-level positions. Employers hiring remote snowflake data engineers right now include RTX, Kapitus, and MarLabs. Find a role that fits below and apply directly.
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Showing 5 of 10+ Remote Snowflake Data Engineer jobs
Job ID:
J55073
Job Title:
Senior Snowflake Data Architect
Location:
Atlanta, GA
Duration:
24 Months + Extension
Domain Exposure:
Retail
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Senior Snowflake Data Architect
Location: Atlanta, GA(Remote)
Duration: 24 Months + Extension
Bill Rate: $83/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
We are seeking an experienced Senior Snowflake Data Architect with strong expertise in Snowflake platform architecture, data engineering, and dbt Core to lead the design, development, and optimization of enterprise-grade data solutions.
The ideal candidate will have hands-on experience building scalable Snowflake data platforms, developing robust data models and pipelines, and implementing data quality and governance controls.
This role will primarily support Mortgage Servicing Rights (MSR) analytics, valuation, portfolio analytics, and investor reporting. The architect will work closely with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into reliable and scalable data solutions.
Required Qualifications:
10+ years of experience in Data Engineering, Data Architecture, or related fields.
4+ years of hands-on experience designing and managing production Snowflake environments.
3+ years of production experience with dbt Core, including data modelling, testing, macros, and transformations.
Strong expertise in SQL, advanced data modelling, and ELT pipeline development.
Experience designing scalable, enterprise-level data architectures.
Strong understanding of data quality, data governance, reconciliation, and validation frameworks.
Experience with Snowflake performance optimization and cost management.
Ability to work directly with business and technical stakeholders.
Experience in Mortgage Servicing, Mortgage Servicing Rights (MSR), or Capital Markets.
Understanding of MSR valuation, mortgage servicing analytics, and portfolio reporting.
Experience supporting financial reporting, investor reporting, and financial data platforms.
Familiarity with Python and cloud-based data integration tools.
Experience working in financial services, banking, or mortgage technology environments.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
Job ID:
J55073
Job Title:
Senior Snowflake Data Architect
Location:
Atlanta, GA
Duration:
24 Months + Extension
Domain Exposure:
Retail
Client:
To Be Discussed Later
Employment Type:
W-2, 1099, C2C
Work Authorization:
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Job Title: Senior Snowflake Data Architect
Location: Atlanta, GA(Remote)
Duration: 24 Months + Extension
Bill Rate: $83/hour (C2C)
Job Type: W-2, 1099, C2C
Client: To Be Discussed Later
Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other
Job Description:
We are seeking an experienced Senior Snowflake Data Architect with strong expertise in Snowflake platform architecture, data engineering, and dbt Core to lead the design, development, and optimization of enterprise-grade data solutions.
The ideal candidate will have hands-on experience building scalable Snowflake data platforms, developing robust data models and pipelines, and implementing data quality and governance controls.
This role will primarily support Mortgage Servicing Rights (MSR) analytics, valuation, portfolio analytics, and investor reporting. The architect will work closely with Capital Markets, Finance, Portfolio Analytics, and Operations teams to translate business requirements into reliable and scalable data solutions.
Required Qualifications:
10+ years of experience in Data Engineering, Data Architecture, or related fields.
4+ years of hands-on experience designing and managing production Snowflake environments.
3+ years of production experience with dbt Core, including data modelling, testing, macros, and transformations.
Strong expertise in SQL, advanced data modelling, and ELT pipeline development.
Experience designing scalable, enterprise-level data architectures.
Strong understanding of data quality, data governance, reconciliation, and validation frameworks.
Experience with Snowflake performance optimization and cost management.
Ability to work directly with business and technical stakeholders.
Experience in Mortgage Servicing, Mortgage Servicing Rights (MSR), or Capital Markets.
Understanding of MSR valuation, mortgage servicing analytics, and portfolio reporting.
Experience supporting financial reporting, investor reporting, and financial data platforms.
Familiarity with Python and cloud-based data integration tools.
Experience working in financial services, banking, or mortgage technology environments.
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.
See All 10 Remote Snowflake Data Engineer Jobs
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Find JobsRemote Snowflake Data Engineer Job Market
Who's Hiring
What Employers Look For
The qualifications that appear most often in remote snowflake data engineer jobs.
- Hands-on experience designing and maintaining Snowflake data warehouses
- Proficiency in SQL and at least one language such as Python or Scala
- Experience building data pipelines with tools like dbt, Airflow, or Spark
- Familiarity with a major cloud platform: AWS, Azure, or Google Cloud
- Understanding of data modeling concepts including star and snowflake schemas
- SnowPro Core certification or equivalent Snowflake platform credential preferred
Tips for Your Remote Snowflake Data Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote snowflake data engineer openings from across the U.S. in one place, so you can find roles that match your stack and seniority and apply directly without sorting through on-site listings mixed in.
Show async documentation skills in your portfolio
Remote Snowflake teams rely on written documentation to stay aligned. Include a sample data model, a pipeline README, or a Confluence-style runbook in your portfolio to show you can communicate data decisions clearly without a meeting.
Highlight distributed data tooling in your resume
Remote employers specifically look for Snowflake paired with cloud-native tools like dbt, Airflow, and Terraform. Listing these alongside Snowflake features you've used, such as dynamic tables, data sharing, or Snowpark, signals readiness for distributed team workflows.
Prepare for async-first remote interviews
Many remote-first companies use async video screens or take-home data modeling exercises before live interviews. Practice recording clear, concise technical walkthroughs of past Snowflake projects so you can present your work confidently outside a real-time format.
Remote Snowflake Data Engineer Jobs: Frequently Asked Questions
How do I get a remote snowflake data engineer job?
Remote snowflake data engineer roles are concentrated at remote-first SaaS companies, cloud-native startups, and distributed data teams at mid-market and enterprise firms. Hiring managers screen heavily for self-direction, clear async written communication, and hands-on Snowflake skills like data modeling, dbt integration, and performance tuning. Candidates who can demonstrate independent project delivery, show documented pipelines on GitHub, and communicate data decisions in writing consistently stand out from applicants with similar technical credentials.
Which companies hire remote snowflake data engineers?
Employers currently hiring remote snowflake data engineers include RTX, Kapitus, and MarLabs, per current remote listings on Migrate Mate as of November 2026. Remote-first technology companies, cloud analytics firms, and distributed data teams in financial services and healthcare make up a large share of ongoing demand for this role.
Can you get a remote snowflake data engineer job with no experience?
Yes, but remote entry-level snowflake data engineer roles are harder to land because employers expect you to work independently from day one with minimal oversight. Remote-first startups and small data teams are the most likely to hire someone earlier in their career. Demonstrating a completed Snowflake project, contributing to an open-source dbt package, or earning a Snowflake SnowPro certification can substitute meaningfully for direct professional experience when applying.
Do you need a degree for remote snowflake data engineer jobs?
Not always. Many remote employers care more about demonstrated Snowflake skills, cloud platform fluency, and the ability to deliver data infrastructure autonomously than about a specific credential. A portfolio showing real pipeline builds, data warehouse design, and performance optimization work carries significant weight, particularly at remote-first companies and startups that evaluate candidates on output rather than credentials.
See All 10 Remote Snowflake Data Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
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