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Remote Snowflake Jobs in Delaware (NOW HIRING)

Sallie_mae

Director, Architecture

Newark, DE · On-site +1

Remote work permitted. WHAT YOU HAVE: At least a Bachelor's degree in Information Technology ... SQL, DAX, PowerQuery, Snowflake, Oracle, Visual Studio, and ADO; * Understanding business user ...

Stride, Inc.

Media Ops & Analytics Intern

Dover, DE · Remote

$20 - $22/hr

Experience with marketing analytics platforms, including Google, Adobe, and Snowflake WORK ... This is a fully remote position. COMPENSATION & BENEFITS: Stride, Inc. considers a person ...

Nutanix

Subject Matter Expert - Networking

Dover, DE · On-site +1

$44.25 - $59.25/hr

The work setup is fully remote, providing flexibility and the convenience of working from wherever you choose. There are no mandatory days to return to the office, allowing you to maintain a balanced ...

Ecclesiastes, Inc.

Data Analyst

Newark, DE · On-site +1

This is a remote position. About Us Ecclesiastes provides highly skilled IT professionals to fill recruitment needs or offer solutions and support to complex tasks. We realize that most organizations ...

System One

Cloud Infrastructure Engineer II

Blades, DE · On-site +1

$52.50 - $70.25/hr

This role operates in a physical office environment with hybrid (partially remote) eligibility. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering ...

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Remote Snowflake information

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$35

$67

$84

How much do remote snowflake jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote snowflake in Delaware is $67.66, according to ZipRecruiter salary data. Most workers in this role earn between $59.90 and $76.73 per hour, depending on experience, location, and employer.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

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

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.
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Remote Snowflake jobs near you
Data Engineer (Short-Term Engagement)

Data Engineer (Short-Term Engagement)

Serverless Guru

Wilmington, DE • On-site, Remote

$111.10K - $133.40K/yr

Temporary

Posted 8 days ago

Job description

We are looking for 5+ years of overall data engineering experience, with expert-level hands-on experience in CData, Snowflake, and Looker schema development. As a senior data engineer, you will bring best practices for modern data architecture, data modeling, and analytics enablement, helping ensure that data pipelines and reporting layers are performant, scalable, and easy for business users to consume. Your expertise in data integration and modeling will be critical to the success of this short-term engagement and will directly impact the client's ability to make data-driven decisions.
About the Role
As a Data Engineer, you will work closely with technical and business teams to build and optimize data pipelines and analytics layers. You will be responsible for integrating multiple data sources using CData, transforming and modeling data within Snowflake, and creating structured, scalable Looker schemas to support reporting and insights.
Key Responsibilities
  • Design, build, and optimize data pipelines using CData connectors
  • Ingest and transform data into Snowflake for analytics and reporting
  • Develop and maintain scalable data models within Snowflake
  • Build and optimize Looker schemas (LookML) for business intelligence use cases
  • Ensure data quality, consistency, and reliability across systems
  • Collaborate with stakeholders to understand reporting requirements and translate them into technical solutions
  • Troubleshoot and resolve data pipeline and modeling issues
  • Implement best practices for data governance, performance optimization, and scalability

Required Skills & Experience
  • 5+ years of overall data engineering experience
  • Expert-level experience with CData (connectors, integrations, and data ingestion)
  • Strong expertise in Snowflake (data modeling, performance tuning, ETL/ELT)
  • Extensive experience building Looker schemas (LookML)
  • Strong SQL skills and experience working with large datasets
  • Experience designing and implementing end-to-end data pipelines
  • Familiarity with data integration patterns and best practices
  • Experience working in Agile development environments
  • Strong problem-solving and communication skills

Preferred Qualifications
  • Experience with BI tools beyond Looker
  • Familiarity with modern data stack tools
  • Experience with data governance and data quality frameworks
  • Exposure to cloud-based data ecosystems
  • Experience with manufacturing or distribution data (nice to have)

Engagement Details
  • Duration: 4-5 weeks (40 hrs/week)
  • Timezone: EST
  • Client industry: manufacturing and distribution (related industry experience not required; the role is fully on the data side)

Join our team and help deliver a high-impact data solution that enables smarter decision-making and scalable analytics for our client.

Apply