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Snowflake Snowpark Jobs (NOW HIRING)

Keeley Construction

Snowflake Data Architect

Saint Louis, MO · Hybrid

$62 - $79.75/hr

Design and implement Snowflake Cortex capabilities, including AI SQL, LLM functions, document intelligence, vector functions, and Snowpark solutions. * Lead the development of scalable data ingestion ...

Purple Drive Technologies

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

Knowledge of Snowpark , Streamlit , or Snowflake Native Apps * Experience with data lakes , Kafka , or real-time data streaming * Familiarity with Power BI, Tableau, or Looker Soft Skills: * Strong ...

Voya Financial

Snowflake Data Cloud Architect

Manhattan, NY · On-site

$70.25 - $90.25/hr

... Snowpark) for real-time and batch processing. • Build ingestion pipelines leveraging Kafka, Azure Event Hub, or similar technologies for market data and transactional feeds. • Design workflows ...

AmaWaterways River Cruises

Senior Data Engineer

Calabasas, CA · On-site

$111K - $152K/yr

Snowpark Python stored procs, External Access Integrations, network rules, Snowflake SECRETs hydrated from AWS Secrets Manager, idempotent deploy.py scripts, and config-driven INGESTION_CONFIG tables ...

Arohak Inc

$122K - $146K/yr

Snowpark * Snowflake Data Engineering * Data Pipelines and Data Sharing * Snowflake Native Applications * Performance optimization and governance Programming * Python (Expert) * SQL * REST APIs

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Snowflake Snowpark information

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How much do snowflake snowpark jobs pay per hour?

As of Jun 9, 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.

Snowflake Platform Engineer, AI & Data Platforms (AiDP)

Snowflake Platform Engineer, AI & Data Platforms (AiDP)

Apple

Austin, TX • On-site

$113K - $136K/yr

Full-time

Posted 4 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

A specialized role for a Snowflake Platform Administration & Performance Engineer role focuses on the seamless synergy between automated administration and high-tier workload optimization. This position is about transforming the data warehouse into an autonomous, high-performance engine that fuels real-time decision-making.
Performance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and account usage schemas.You will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary. Lakehouse Implementation: Design and manage unified storage using Apache Iceberg to allow open-format data to be queried directly in Snowflake with warehouse-level performance. Python-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python and Snowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.Cloud: Manage Snowflake Iceberg Tables in AWS cloud.Experience in cloud s3, gateway, private link, EKS, Load Balancing, VPC peering, and secure data sharingAdvanced Cost Management: Implement autonomous warehouse management, right-sizing clusters based on real-time usage patterns, and configuring auto-suspend/resume with 60-second timeouts to eliminate idle compute wasteSnowflake Platform Administration: Manage accounts, virtual warehouses, and database objects. This includes configuring auto-scaling, monitoring warehouse utilization, and implementing backup strategies via Time Travel and CloningSecurity & Governance: Implement Role-Based Access Control (RBAC), Multi-Factor Authentication (MFA), and data masking policies. You are responsible for ensuring compliance with data protection standards like GDPR or HIPAA
Snowflake experienceData Engineer or Database Administration or Performance Tuning experience Architecture Knowledge: Deep understanding of multi-cluster shared data architecture and micro-partitioningBachelor's Degree, Computer Science or equivalent degree or experience
2+ years in database administration or Performance Tuning with specific hands-on Snowflake experienceMaster's Degree, Computer Science or equivalent degreeArchitecture Knowledge: Deep understanding of Snowflake's multi-cluster shared data architecture and micro-partitioning.Certifications: SnowPro Core Certification is highly preferred, along with cloud-specific associate or professional certificationsPerformance Tuning & Optimization: Proactively monitor and tune workloads using Snowsight Performance Explorer and ACCOUNT USAGE schemas.You will optimize query execution by analyzing query profiles for disk spillage, identifying Cartesian joins, and implementing Search Optimization Services or Query Acceleration where necessary.Cost Optimization: Analyze credit consumption and query performance to reduce spend while maintaining SLAsPython-Driven Automation: Develop advanced scripts and pipelines using Snowpark Python andSnowpark pandas APIs for scalable data transformations. Automate administrative tasks such as environment provisioning and security policy enforcement through Infrastructure as Code (IaC) tools like Terraform.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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