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Snowflake Jobs in Ohio (NOW HIRING)

Purple Drive Technologies

Snowflake Engineer

Dublin, OH · On-site

$110K - $132K/yr

We are seeking a Snowflake Engineer to design, build, and optimize scalable data solutions using the Snowflake Data Cloud . The ideal candidate will have strong expertise in data modeling, ELT/ETL ...

Purple Drive Technologies

Snowflake Developer

Dublin, OH · On-site

$47.50 - $65/hr

We are seeking an experienced Snowflake Developer to design, develop, and optimize data pipelines and solutions within the Snowflake Data Cloud environment. The ideal candidate will have strong SQL ...

Purple Drive Technologies

Snowflake Developer

Columbus, OH · On-site

$47.50 - $65.25/hr

Overview: Job Details Design, develop, and maintain data pipelines using Snowflake, SQL Server, and Control-M. Implement ETL processes to ensure data is accurately and efficiently loaded into ...

Deloitte

Lead Forward Deployed Engineer - Snowflake

Dayton, OH · On-site

$99K - $131K/yr

Work you'll do As a Lead Snowflake FDE, you will serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and ...

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How much do snowflake jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for snowflake in Ohio is $64.27, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $72.88 per hour, depending on experience, location, and employer.

What jobs make $10,000 a month without a degree?

High-paying jobs that can reach $10,000 a month without a degree include roles such as sales managers, real estate brokers, commercial pilots, and skilled trades like electricians or plumbers. Success in these fields often depends on experience, certifications, or licensing, and some may require strong sales skills or technical training.

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.

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. Success often requires technical certifications and continuous learning in related tools and technologies.

Are Snowflake jobs in high demand?

Snowflake-related jobs, such as data engineers and analysts, are in high demand due to the increasing adoption of cloud data platforms. Skills in SQL, cloud computing, and data warehousing are highly valued in this field, leading to strong job growth and competitive salaries.

What is a Snowflake job?

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.

How hard is it to get a job at Snowflake?

Getting a job at Snowflake typically requires relevant technical skills such as data warehousing, SQL, and cloud platforms, along with a strong understanding of data analytics. The hiring process often involves multiple interview rounds assessing technical knowledge, problem-solving, and cultural fit, making it competitive but achievable for qualified candidates.

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

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 the most commonly searched types of Snowflake jobs in Ohio? The most popular types of Snowflake jobs in Ohio are:
What are popular job titles related to Snowflake jobs in Ohio? For Snowflake jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Ohio look for? The top searched job categories for Snowflake jobs in Ohio are:
What cities in Ohio are hiring for Snowflake jobs? Cities in Ohio with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Ohio as of June 2026, with employment types broken down into 61% Full Time, and 39% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution, with an average salary of $133,687 per year, or $64.3 per hour.

Snowflake Engineer

Purple Drive Technologies

Dublin, OH • On-site

$110K - $132K/yr

Full-time

Posted 26 days ago

Job description

Overview:
Job Summary:
We are seeking a Snowflake Engineer to design, build, and optimize scalable data solutions using the Snowflake Data Cloud. The ideal candidate will have strong expertise in data modeling, ELT/ETL pipelines, SQL performance tuning, and cloud integration, enabling robust and efficient data processing for analytics and business insights.
Key Responsibilities:
  • Design, develop, and maintain data pipelines and data models in Snowflake.
  • Implement data ingestion, transformation, and integration processes from multiple structured and unstructured data sources.
  • Optimize Snowflake performance through clustering, partitioning, caching, and query tuning.
  • Build secure and efficient data sharing and data governance frameworks within Snowflake.
  • Collaborate with analytics, BI, and data science teams to deliver high-quality datasets and data marts.
  • Integrate Snowflake with ETL/ELT tools (Informatica, dbt, Matillion, Talend, etc.) and orchestration tools (Airflow, Azure Data Factory, AWS Glue).
  • Implement role-based access control (RBAC), data masking, and other security mechanisms.
  • Automate monitoring and management of data pipelines and ensure data quality and reliability.
  • Stay updated with Snowflake's latest features, releases, and best practices.
Technical Skills:
  • Core Expertise: Snowflake Data Warehouse (architecture, performance tuning, best practices)
  • Data Modeling: Dimensional modeling (Star/Snowflake schema), normalization/denormalization
  • SQL Expertise: Advanced SQL scripting, query optimization, stored procedures, and UDFs
  • ETL/ELT Tools: dbt, Informatica, Talend, Matillion, Apache Airflow, Azure Data Factory, or AWS Glue
  • Programming Languages: Python, SQL, or Java (for automation and integrations)
  • Cloud Platforms: AWS, Azure, or GCP (with Snowflake integration)
  • Version Control: Git, CI/CD pipelines (Jenkins, GitLab CI/CD)
  • Optional (Nice-to-Have):
    • 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 analytical and problem-solving skills
  • Ability to work collaboratively with cross-functional teams
  • Strong communication and documentation skills
  • Detail-oriented with focus on data accuracy and reliability

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