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Snowflake Data Engineering Jobs (NOW HIRING)

E-Solutions

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121K - $145K/yr

Data Engineer - Snowflake / AWS Skills: Snowflake Years of Experience needed : 5-9 Years Skill ... Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

SLK America Inc.

Snowflake data engineer

Wilmington, DE · On-site

$111K - $133K/yr

We are currently hiring for 3 Snowflake Data Engineer positions with Azure expertise : * 2 Senior Data Engineers (7+ years of experience) * 1 Mid-Level Data Engineer (4+ years of experience ...

E-Solutions

Senior Snowflake Data Engineer

San Francisco, CA · On-site

$124K - $169K/yr

... engineering using Snowflake and Databricks, with proven ability to build and optimize large-scale data pipelines. • Deep understanding of data architecture principles, including ingestion ...

Cynet Systems

Data Engineer - Snowflake / AWS

Portland, OR · On-site

$121K - $145K/yr

Proficiency in Snowflake for data warehousing and cloud data platform. * Strong hands-on experience ... Solid expertise in AWS (data engineering services and integrations). * Experience with enterprise ...

Data Ideology

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · Remote

$117K - $140K/yr

Education and Experience: * 7+ years of experience in data engineering, data warehousing, or data architecture. * 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark ...

Guru Schools

Sr Data Engineer

New York, NY · On-site

$125K - $150K/yr

Implement and optimize Snowflake data models and data marts * Deliver end-to-end data engineering solutions , including ingestion, processing, and delivery * Optimize performance, scalability, and ...

Data Ideology LLC

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Education and Experience: * 7+ years of experience in data engineering, data warehousing, or data architecture. * 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark ...

Eitacies Inc

Snowflake Data Engineer (AWS)

Nashville, TN · Remote

$110K - $132K/yr

Benefits: * 401(k) Snowflake Data Engineer (AWS Environment) Only TN residents Nashville, TN (Hybrid - Monthly onsite mandatory) Requirements: * 3+ years Snowflake development * 5+ years SQL * Strong ...

Sarian, Inc.

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer/only W2 Location: Austin, TX Onsite position Fulltime Position TCS/Apple JD: * Expert level fluency with Snowflake, SQL, Tableau, and Python is required.

Guru Schools

Snowflake Data Architect

Santa Clara, CA · On-site

$90/hr

Strong hands-on experience in data engineering using Snowflake with proven ability to build and optimize large-scale data pipelines. * Deep understanding of data architecture principles , including ...

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Snowflake Data Engineering information

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How much do snowflake data engineering jobs pay per year?

As of Jun 9, 2026, the average yearly pay for snowflake data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Snowflake Data Engineer, you need a solid background in data engineering, SQL, ETL pipeline development, and cloud data warehousing, often supported by a degree in computer science or a related field. Proficiency with Snowflake's platform, data modeling tools, scripting languages, and certifications such as SnowPro Core are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for collaborating with stakeholders and troubleshooting data issues. These skills ensure efficient data pipeline development, robust data solutions, and the ability to translate business needs into scalable architectures.

What is Snowflake Data Engineering?

Snowflake Data Engineering refers to the practice of designing, building, and managing data pipelines and architectures using the Snowflake cloud data platform. Data engineers working with Snowflake leverage its scalable, cloud-native features to efficiently store, process, and transform large volumes of data from various sources. Typical tasks include data ingestion, ETL (Extract, Transform, Load) processes, data modeling, and ensuring data quality and security. Snowflake's architecture allows for easy integration with other tools and supports advanced analytics, making it a popular choice for modern data engineering solutions.

What are some common challenges faced by Snowflake Data Engineers when integrating data from multiple sources?

Snowflake Data Engineers often encounter challenges such as handling inconsistent data formats, ensuring data quality during ingestion, and optimizing performance for large-scale data loads. Integrating data from various on-premises and cloud sources typically requires building robust ETL pipelines and managing schema evolution. Collaboration with data analysts and business stakeholders is crucial to ensure data meets organizational needs while maintaining security and compliance standards.
What cities are hiring for Snowflake Data Engineering jobs? Cities with the most Snowflake Data Engineering job openings:
What states have the most Snowflake Data Engineering jobs? States with the most job openings for Snowflake Data Engineering jobs include:
Data Engineer - Snowflake / AWS

Data Engineer - Snowflake / AWS

E-Solutions

Portland, OR • On-site

$121K - $145K/yr

Other

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

Job description

Job Title / Role: Data Engineer - Snowflake / AWS
Skills: Snowflake
Years of Experience needed: 5-9 Years
Skill Requirements
  • Proficiency in snowflake for data warehousing and cloud data platform.
  • Strong hands-on experience with Snowflake (data modeling, performance tuning, cost optimization).
  • Solid expertise in AWS (data engineering services and integrations).
  • Experience with enterprise data warehousing and large-scale system integrations.
  • Some exposure to UI or data visualization layers is beneficial.
  • Experience with dbt (data build tool) for data transformation and modeling.
  • Strong command of sql for querying and manipulating data in databases.
  • Proficient in python programming for scripting, automation, and data manipulation.
  • Excellent problem-solving skills and the ability to communicate effectively with technical and nontechnical stakeholders.
  • Strong leadership skills to effectively lead and motivate technical teams towards project success.
Key Responsibilities
  • Lead and manage technical teams in the development and implementation of snowflake data solutions.
  • Design, build, and optimize data models using snowflake and dbt for efficient data processing.
  • Develop and optimize sql queries for data extraction, transformation, and loading processes.
  • Utilize python for scripting and automation of data processes and workflows.
  • Collaborate with cross functional teams to understand data requirements and ensure the successful delivery of technical solutions.
  • Conduct code reviews, provide technical guidance, and mentor team members to enhance overall technical capabilities.
  • Troubleshoot technical issues and provide resolutions in a timely manner to ensure smooth project execution.

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