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Full Time Snowflake Jobs in Ohio (NOW HIRING)

Lead Data Scientist

Euclid, OH · On-site

$144K - $198K/yr

... snowflake tables, forecasting and time-series models, inventory and clear-to-build analytics ... S. on a full-time basis without sponsorship now or in the future. The Company cannot offer ...

Data Engineer

New Bremen, OH · On-site

$118K - $142K/yr

Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects ... Crown offers an excellent wage and benefits package for full-time employees including Health/Dental ...

Data Engineer

New Bremen, OH · Hybrid

$118K - $142K/yr

Experience in Fabric, Starburst, Snowflake, Databricks, Trino * Experience leading smaller projects ... Crown offers an excellent wage and benefits package for full-time employees including Health/Dental ...

Business Intelligence Analyst FULL-TIME/PART-TIME: Full Time LOCATION: Columbus/Dublin, OH React ... Snowflake, Databricks, dbt, or similar). Preferred Education * Master's degree in related field ...

Applicants must be currently authorized to work in the United States on a full-time basis without ... Experience with Snowflake, dbt, Purview, Profisee, or Erwin * Familiarity with NAIC guidelines ...

Akamai Bot Specialist

Cincinnati, OH · Remote

$90K - $110K/yr

This is a full-time, salaried, remote position. Employee must be located within the Continental U.S ... Snowflake * BigQuery * Elasticsearch * New Relic * Sentry * Browser developer tools * Playwright or ...

Applicants must be currently authorized to work in the United States on a full-time basis without ... Experience with Snowflake, dbt, Purview, Profisee, or Erwin * Familiarity with NAIC guidelines ...

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Full Time Snowflake information

What are the typical challenges faced by Full Time Snowflake professionals when integrating Snowflake with existing data infrastructure?

Full Time Snowflake professionals often encounter challenges related to migrating legacy data systems to the Snowflake cloud platform, especially ensuring data consistency and minimizing downtime. Integrating Snowflake with various ETL tools and existing business intelligence solutions can require careful planning to optimize performance and cost. Additionally, adapting security protocols and access controls to align with Snowflake’s architecture is crucial. Collaborative problem-solving with data engineers, database administrators, and security teams is often key to successfully overcoming these integration hurdles.

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

To thrive as a Full Time Snowflake Data Engineer, you need expertise in data warehousing, SQL, and cloud platforms, often with a background in computer science or a related field. Familiarity with the Snowflake Data Cloud, ETL tools, and certifications such as Snowflake SnowPro are highly valued. Strong problem-solving, collaboration, and communication skills set top candidates apart. These competencies ensure efficient data management, seamless integration, and effective teamwork needed for successful data solutions.

What is a Full Time Snowflake developer?

A Full Time Snowflake developer is a professional who specializes in working with the Snowflake data platform on a full-time basis. Their responsibilities typically include designing, developing, and maintaining data pipelines, data warehouses, and analytics solutions within Snowflake. They work with SQL, data modeling, ETL processes, and cloud integrations to help organizations manage and analyze large volumes of data efficiently. Full Time Snowflake developers often collaborate with data engineers, analysts, and business stakeholders to deliver scalable and secure data solutions.

What is the difference between Full Time Snowflake vs Data Engineer?

AspectFull Time SnowflakeData Engineer
Required CredentialsSnowflake certifications, SQL, cloud platform knowledgeData management, SQL, cloud platforms, programming skills
Work EnvironmentCloud data platforms, analytics teamsData pipelines, ETL processes, cloud environments
Employer & Industry UsageTech companies, finance, retail using SnowflakeVarious industries, focusing on data infrastructure
Common Search & ComparisonYesYes

Full Time Snowflake roles focus on managing and optimizing data within Snowflake cloud data platforms, requiring certifications and expertise in SQL and cloud environments. Data Engineers build and maintain data pipelines and infrastructure, often working with Snowflake as part of broader data solutions. While both roles involve cloud data work, Snowflake specialists concentrate on Snowflake-specific tasks, whereas Data Engineers have a broader scope across data architecture and engineering.

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 Full Time Snowflake jobs in Ohio? For Full Time Snowflake jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Full Time Snowflake jobs in Ohio look for? The top searched job categories for Full Time Snowflake jobs in Ohio are:
What cities in Ohio are hiring for Full Time Snowflake jobs? Cities in Ohio with the most Full Time Snowflake job openings:
Infographic showing various Full Time Snowflake job openings in Ohio as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, 10% Hybrid, and 10% Remote job distribution.
QA Testing Analyst

Full-time, Contractor

Posted 21 days ago


Job description

QA Testing Analyst | Columbus, Ohio, United States Job Summary: QA Testing Analyst (Data Lake & Data Warehouse) - Contract to Hire Location: Columbus, OH (Remote flexibility considered) About the Role Huntington Bank is urgently seeking a QA Testing Analyst to lead automation initiatives within our Data Lake and Data Warehouse team. You will drive the transformation of our quality assurance processes, ensuring robust data integration and regulatory compliance in a modern, high-impact banking environment. Join us to leverage your expertise, collaborate with top-tier professionals, and help shape the future of data-driven banking. Responsibilities - Lead quality assurance efforts for multiple concurrent data ingestion and integration projects, focusing on regulatory alignment and data integrity. - Design, implement, and maintain scalable automated testing frameworks and CI/CD pipelines that support secure and efficient data operations. - Develop and execute comprehensive test strategies for System Integration Testing (SIT) and support User Acceptance Testing (UAT). - Collaborate with cross-functional teams-including data engineers, developers, project managers, and compliance-to drive data quality and traceability. - Analyze data, troubleshoot complex data issues, and create actionable plans to address data quality concerns. - Generate daily and weekly test execution metrics and status reports for stakeholders. - Drive continuous improvement by streamlining manual processes and championing test automation adoption. - Assist project managers/scrum masters in driving defect resolution and managing offshore QA activities. - Participate in requirement reviews, data mapping analysis, defect triage, and production implementation verification. Required Skills and Experience - Bachelor's degree - 5+ years of ETL testing experience in a data warehouse environment - 3+ years of test automation experience - 2+ years of experience with Snowflake and AWS - 2+ years leading QA analysts on project teams - Strong expertise in SQL validation, backend testing, and data warehouse concepts (EDW, star/snowflake schema, OLAP) - Proficiency with Azure DevOps (ADO) or Jira for test management Preferred Skills - Experience in financial services or banking industry - Hands-on experience with test automation tools such as Cucumber, Selenium, PyTest, DBT tests - Familiarity with cloud data solutions (Snowflake, AWS S3) - Exposure to DataStage, Zena - Excellent communication, organizational, and analytical skills Benefits - Opportunity to convert to full-time and advance your career in a leading financial institution - Work on high-visibility, strategic projects impacting the future of banking data - Collaborative and innovative team environment focused on learning and continuous improvement - Gain hands-on experience with cutting-edge data and cloud technologies How to Apply If you are passionate about data quality and automation, and ready to lead QA initiatives in a fast-paced environment, apply today to join Huntington Bank's Data Lake and Data Warehouse team. Face-to-face interview required. Candidates must be authorized to work in the US without sponsorship.

Indotronix logo

About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US