ZipRecruiter

Log In

2

Remote Snowflake Jobs in Ohio (NOW HIRING)

Aimpoint Digital

$99K - $136K/yr

... Snowflake Cortex Code, and/or Databricks Genie Code preferred * Consulting experience strongly preferred We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta ...

Aimpoint Digital

$116K - $153K/yr

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside ... Use modern platforms and tooling such as Snowflake, Databricks, dbt, Fivetran, and cloud-native ...

Kemper

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

Tune queries for optimal performance across Snowflake and Oracle environments. * Integration and ... Remote working arrangements may be available to non-local candidates. The range for this position ...

Kemper

Senior Data Engineer

Cincinnati, OH · On-site +1

$101K - $138K/yr

Tune queries for optimal performance across Snowflake and Oracle environments. * Integration and ... Remote working arrangements may be available to non-local candidates. The range for this position ...

ALLOBAAS

Data Engineer II

Lakewood, OH · On-site +1

Administer and optimize Snowflake and other data platforms to ensure performance and alignment with ... If fully remote: must be willing to travel * This position will require the ability to work ...

next page

Showing results 1-20

People also search for

All JobsRemote Snowflake JobsRemote Snowflake Jobs in Ohio

Remote Snowflake information

See Ohio salary details

$34

$64

$80

How much do remote snowflake jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote 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 are the key skills and qualifications needed to thrive in the Remote Snowflake position, and why are they important?

To thrive as a Remote Snowflake Data Engineer or Developer, you typically need strong SQL skills, data modeling expertise, and experience with Snowflake's cloud data platform, often supported by a background in computer science or a related field. Familiarity with ETL/ELT tools, cloud platforms (such as AWS, Azure, or Google Cloud), and relevant certifications like SnowPro Core Certification are highly valued. Excellent communication, problem-solving skills, and the ability to work independently are essential for remote collaboration and project delivery. These competencies ensure that you can design, implement, and optimize data solutions efficiently while contributing effectively to distributed data teams.

What is a Remote Snowflake job?

A Remote Snowflake job involves working with Snowflake, a cloud-based data platform, in a remote setting. Professionals in these roles typically design, develop, and manage data solutions using Snowflake's architecture, SQL, and integration tools. Common responsibilities include data modeling, optimizing queries, and ensuring data security. Employers look for experience in cloud platforms like AWS, Azure, or GCP, along with expertise in ETL processes and analytics. These roles offer flexibility while requiring strong collaboration with data engineers and analysts.

What are typical challenges faced by remote Snowflake professionals, and how can they be addressed?

Remote Snowflake professionals often face challenges related to cross-team communication, data security, and managing complex cloud-based architectures across different time zones. Staying organized and setting clear documentation practices can help mitigate misunderstandings when collaborating on data modeling or ETL processes. Since troubleshooting and optimizing data pipelines may require quick responses, proactive communication and establishing overlapping work hours with the team are beneficial. Additionally, investing in continuous education on Snowflake updates and security best practices helps prevent issues and supports career growth in the evolving cloud data landscape.

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 Remote Snowflake jobs in Ohio? For Remote Snowflake jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Remote Snowflake jobs in Ohio look for? The top searched job categories for Remote Snowflake jobs in Ohio are:
What cities in Ohio are hiring for Remote Snowflake jobs? Cities in Ohio with the most Remote Snowflake job openings:
Remote Snowflake jobs near you

Senior Analytics Engineer 2026 - US,UK

Aimpoint Digital

On-site, Remote

$99K - $136K/yr

Full-time

Posted 4 days ago

Job description

Do you enjoy working with clients from different industries to investigate complex business problems and designing end-to-end analytical solutions that will improve their existing processes and ability to derive data-driven insights?
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We work alongside the most innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems. At Aimpoint Digital, we believe in blending modern tools and techniques with tried-and-true principles to deliver optimal analytics solutions.
You will:
  • Become a trusted advisor working together with our clients, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions
  • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries
  • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines that power reporting, dashboards, self-service analytics, and AI use cases
  • Work with modern tools such as Snowflake, Databricks, Fivetran, and dbt and credentialize your skills with certifications
  • Write high-quality code in SQL, Python, and Spark, and use software engineering tools and best-practices such as Git and CI/CD
  • Contribute to best practices around analytics engineering - data modeling, metric standardization, data quality, and governance
  • Accelerate analytics development velocity and improve solution quality by using AI-assisted engineering workflows and tools such as Codex, Claude, Copilot, and platform-native assistants like Snowflake Cortex Code and Databricks Genie Code
  • Partner closely with data engineers, analysts, data scientists to support production-grade analytics and AI applications

Who you are:
We are building a diverse team of talented and motivated people who deeply understand business problems and enjoy solving them. You are a self-starter who loves working with data to build analytical products and trusted datasets that business users can leverage daily to do their jobs better. You are passionate about contributing to a growing team and establishing best practices.
As a Senior Analytics Engineer, you will be expected to work independently on client engagements, take part in the development of our practice, aid in business development, and contribute innovative ideas and initiatives to our company.
  • Degree educated in Computer Science, Engineering, Mathematics, or equivalent experience
  • Experience with managing stakeholders and collaborating with customers
  • Strong written and verbal communication skills required
  • 3+ years working with relational databases and query languages, with deep expertise in SQL
  • 3+ years of data modeling experience, including dimensional modeling, star schema, entity-relationship design, and analytics-focused modeling best practices
  • 3+ years building data pipelines in production, with the ability to work across structured, semi-structured and unstructured data
  • 3+ years writing clean, maintainable, and robust code in SQL and/or Python
  • 2+ years' experience with dbt Core and/or dbt Cloud required
  • Ability to manage an individual workstream independently
  • Expertise in software engineering concepts and best practices, including version control, testing, documentation, and CI/CD
  • Experience working with cloud data warehouses (Databricks, Snowflake, Google BigQuery, AWS Redshift, Microsoft Synapse) preferred
  • Experience working with other cloud ETL/ELT tools (Fivetran, Matillion, Informatica, Talend, etc.) preferred
  • Experience working with cloud platforms such as AWS, Azure, or GCP preferred
  • Experience defining metrics, semantic layers, and reusable business logic for analytics consumption preferred
  • Familiarity with modern BI and visualization platforms such as Power BI, Tableau, or Sigma preferred
  • Experience enabling or accelerating analytics engineering workflows with AI tools such as Codex, Claude, Copilot, Snowflake Cortex Code, and/or Databricks Genie Code preferred
  • Consulting experience strongly preferred

We are actively seeking candidates for full-time, remote work within the US and UK. Atlanta and London applicants will have the opportunity to work in our regional offices.

Apply