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Snowflake Jobs in Philadelphia, PA (NOW HIRING)

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models, pipelines, stored procedures, and high-volume data processing patterns. * MDM/Reltio enablement: Partner ...

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models, pipelines, stored procedures, and high-volume data processing patterns. * MDM/Reltio enablement: Partner ...

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Hands-on Snowflake engineering: Design, build, optimize, and operate Snowflake data models, pipelines, stored procedures, and high-volume data processing patterns. * MDM/Reltio enablement: Partner ...

AI Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

Snowflake and dbt engineering: Design, build, optimize, and operate Snowflake pipelines and dbt models across raw, curated, and gold-layer datasets. * AI-ready semantic modeling: Create semantic ...

AI Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Snowflake and dbt engineering: Design, build, optimize, and operate Snowflake pipelines and dbt models across raw, curated, and gold-layer datasets. * AI-ready semantic modeling: Create semantic ...

Azure Data Engineer

Hamilton, NJ · On-site

$113K - $136K/yr

Integrate and manage data across platforms such as Snowflake, Delta Lake, and Azure Storage . * Support analytics and AI/ML use cases with clean, reliable, and scalable data models. * Collaborate ...

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Snowflake information

See Philadelphia, PA salary details

$36

$68

$85

How much do snowflake jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for snowflake in Philadelphia, PA is $68.22, according to ZipRecruiter salary data. Most workers in this role earn between $60.38 and $77.36 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are the most commonly searched types of Snowflake jobs in Philadelphia, PA?

The most popular types of Snowflake jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Snowflake jobs?

Cities near Philadelphia, PA with the most Snowflake job openings:

Infographic showing various Snowflake job openings in Philadelphia, PA as of August 2026, with employment types broken down into 91% Full Time, 3% Part Time, and 6% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $141,898 per year, or $68.2 per hour.

Snowflake Data Engineer

Prophecy Technologies

West Chester, PA • On-site

$108K - $130K/yr

Full-time

Re-posted 11 days ago


Job description

Role Overview:
This role is for a Data Engineer focused on designing, implementing, and optimizing robust ETL/ELT pipelines and complex data models primarily using PySpark and Snowflake. The engineer will be responsible for ensuring high data quality, integrity, and efficient operations within the data infrastructure.
Key Responsibilities:
  • Design and implement robust ETL/ELT pipelines using PySpark and SQL to ingest data from diverse sources including APIs, flat files, and relational databases.
  • Develop and manage complex data models (e.g., Star/Snowflake schemas) and maintain Fact and Dimension tables within Snowflake.
  • Monitor and tune Snowflake queries and Spark jobs to optimize performance, reduce latency, and manage computational costs.
  • Implement automated data validation frameworks and testing procedures to ensure a "single source of truth" and high data reliability.
  • Troubleshoot production pipeline issues and manage version control via Git.

Required Skills:
  • Snowflake
  • PySpark
  • SQL
  • ETL/ELT pipeline development
  • Data modeling (Star/Snowflake schemas)
  • Data validation frameworks
  • Git for version control

Qualifications:
  • 6-8 years of experience in data engineering.