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Snowflake Snowpark Jobs (NOW HIRING)

Reveel

Data Engineer (Remote)

Irvine, CA · Remote

$115K - $150K/yr

This role is all about building and optimizing ETL workflows in Snowflake using Snowpark , managing parcel logistics data, and keeping our backend pipelines reliable. You'll be working directly with ...

United Airlines

Data Engineer (AWS & Snowflake)

Atlanta, GA

$110K - $132K/yr

... Snowpark The candidate should have a deep understanding of Snowflake data warehousing platform and be proficient in using Snowpark for data processing and analytics 2 DBT Experience with DBT Data ...

Northeastern University

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and tasks. * Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. * Experience with ...

Quanata

Senior Data Engineer, MLOps [Remote-US]

$108K - $147K/yr

... Snowflake Snowpark + Kafka) that supports both batch and real‑time feature retrieval. • Own real‑time inference services, exposing low‑latency endpoints (SageMaker endpoints or EKS ...

NorthEastern

Snowflake Developer

Boston, MA · On-site

$124K - $149K/yr

Experience with Snowflake Cortex, Snowpark, UDFs, dynamic tables, streams, and tasks. * Familiarity with AI workloads: embeddings, vector search, RAG, LLM orchestration pipelines. * Experience with ...

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How much do snowflake snowpark jobs pay per hour?

As of Jun 6, 2026, the average hourly pay for snowflake snowpark in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

How does working as a Snowflake Snowpark developer typically involve collaboration with data engineering and data science teams?

As a Snowflake Snowpark developer, you'll frequently collaborate with data engineers to optimize data pipelines and ensure efficient data processing within the Snowflake environment. You'll also work closely with data scientists to implement and scale their machine learning models or advanced analytics workflows directly inside Snowflake using Snowpark's APIs. Regular communication is essential to align on data schemas, performance requirements, and business goals, making cross-functional teamwork a core aspect of this role.

What is Snowflake Snowpark?

Snowflake Snowpark is a developer framework that allows users to write code in languages like Java, Scala, and Python to process data directly within the Snowflake Data Cloud. Unlike traditional SQL-only approaches, Snowpark enables data engineers, data scientists, and developers to build complex data pipelines and applications using familiar programming languages. It offers features like DataFrames, custom functions, and seamless integration with Snowflake’s powerful processing engine, all while maintaining security and governance within the Snowflake environment.

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

To thrive as a Snowflake Snowpark Developer, you need strong SQL expertise, experience with Python or Scala, and a solid understanding of cloud data warehousing concepts, typically supported by relevant certifications like SnowPro. Familiarity with Snowflake's platform, Snowpark APIs, and data integration tools such as dbt or Apache Airflow is essential. Problem-solving, attention to detail, and effective communication help developers translate business requirements into efficient data solutions. These skills ensure robust, scalable, and performant data processing pipelines that leverage Snowflake's advanced features for business insights.

What is the difference between Snowflake Snowpark vs Snowflake Data Engineer?

AspectSnowflake SnowparkSnowflake Data Engineer
Primary RoleDevelops data pipelines and applications within Snowflake using Snowpark SDKDesigns, builds, and maintains data pipelines and infrastructure in Snowflake
Skills & CertificationsProficiency in Snowpark SDK, SQL, Python/Scala, Snowflake platformStrong SQL, ETL, data modeling, Snowflake platform knowledge, certifications often include Snowflake Data Engineer
Work EnvironmentPrimarily cloud-based, focused on Snowflake environment, often remoteCloud data environments, including Snowflake, with broader data architecture responsibilities

Snowflake Snowpark is a developer-focused SDK enabling data engineers and developers to build data applications within Snowflake. Snowflake Data Engineers focus on designing and maintaining data pipelines and infrastructure. While Snowpark developers create applications, Data Engineers handle the overall data architecture. Both roles require Snowflake platform knowledge, but Snowpark emphasizes application development, whereas Data Engineers focus on data pipeline management.

Infographic showing various Snowflake Snowpark job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 16% Full Time, 1% Temporary, and 82% Contract. Highlights an 77% Physical, 8% Hybrid, and 15% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.
AI Data Engineer (Snowflake Cortex & Snowpark) - Q126

AI Data Engineer (Snowflake Cortex & Snowpark) - Q126

R2 Technologies Corporation

Alpharetta, GA • On-site

$111K - $134K/yr

Full-time

Posted 4 hours ago

Job description

Overview:
Job Title: AI Data Engineer (Snowflake Cortex & Snowpark)
Company: R2 Technologies
Location: Alpharetta, GA (Hybrid / Remote Options Available)
Employment Type: Full-Time / Contractual
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
Job Summary: The modern data warehouse is no longer just for storage-it is the brain of the enterprise. R2 Technologies is seeking an AI Data Engineer specializing in the Snowflake ecosystem. You will move beyond traditional ETL pipelines to build intelligent, agentic workflows directly within Snowflake. Leveraging Snowflake Cortex, Snowpark, and AI coding assistants, you will build Retrieval-Augmented Generation (RAG) pipelines, semantic layers, and vector search capabilities that power our enterprise applications and internal SmartEnt platform.
Key Responsibilities:
  • Design and implement high-performance data pipelines using Snowflake, Snowpark (Python/SQL), and dbt.
  • Build and deploy Large Language Model (LLM) features directly on enterprise data using Snowflake Cortex AI, enabling natural language-to-SQL and semantic search workflows.
  • Create and manage Vector Embeddings and hybrid search pipelines within Snowflake to support enterprise RAG architectures.
  • Utilize AI-assisted coding tools (e.g., GitHub Copilot, Cursor) to automate pipeline generation, data testing, and documentation.
  • Modernize legacy data structures into modern open table formats (Apache Iceberg) to future-proof AI data consumption.
  • Implement robust data governance, dynamic masking, and Role-Based Access Control (RBAC) to ensure AI models comply with strict security and privacy standards.

Qualifications:
  • Up to 3 years of experience in Data Engineering, Analytics, or AI/ML Engineering.
  • Strong hands-on proficiency with Snowflake architecture, SQL, and Python.
  • Experience or strong familiarity with Snowflake's modern AI stack (Cortex, Snowpark, Vector functions).
  • Understanding of modern data modeling (Data Vault, Star Schema) and open table formats (Iceberg).
  • Proven experience working alongside AI coding assistants to enhance productivity.
  • Familiarity with building LLM context windows, prompt engineering, and RAG frameworks.

Skills:
Snowflake,Cortex,snowpark

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