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Remote Snowflake Jobs in Michigan (NOW HIRING)

WPS Health Solutions

Data Analyst

Detroit, MI · On-site +1

We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ... R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks). * Ability to interpret ...

Stride, Inc.

Media Ops & Analytics Intern

Lansing, MI · Remote

$20 - $22/hr

Experience with marketing analytics platforms, including Google, Adobe, and Snowflake WORK ... This is a fully remote position. COMPENSATION & BENEFITS: Stride, Inc. considers a person ...

CertifID

Senior Data Engineer

Grand Rapids, MI · On-site +1

$101.80K - $138.30K/yr

Hands-on production experience with cloud-based data platforms (Snowflake, BigQuery, Redshift ... Remote worker reimbursement of $300/year * Professional development reimbursement * Competitive pay

Exiger

Solutions Architect, Commercial

Detroit, MI · Remote

$62.25 - $82.25/hr

Remote Role Summary: We are looking for a Solutions Architect to partner closely with our Commercial Go-To-Market team. This is not a role focused on running standard demos. Instead, it's about ...

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How much do remote snowflake jobs pay per hour?

As of May 28, 2026, the average hourly pay for remote snowflake in Michigan is $58.92, according to ZipRecruiter salary data. Most workers in this role earn between $52.16 and $66.83 per hour, depending on experience, location, and employer.

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 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 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.
More about Remote Snowflake jobs
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What job categories do people searching Remote Snowflake jobs in Michigan look for? The top searched job categories for Remote Snowflake jobs in Michigan are:
What cities in Michigan are hiring for Remote Snowflake jobs? Cities in Michigan with the most Remote Snowflake job openings:
Remote Snowflake jobs near you
Senior Data Engineer (Snowflake + DBT)

Senior Data Engineer (Snowflake + DBT)

CMK Resources Inc

Troy, MI • On-site, Remote

$107.30K - $128.90K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

CMK Resources is seeking a Senior Data Engineer (Snowflake + DBT required) for a client based in Michigan. This role supports analytics and data-platform initiatives that enable better health outcomes and efficient benefit management that our client seeks to improve for in-home healthcare providers and members.
Location: Detroit metro preferred (Troy, MI) - hybrid onsite Thursdays; remote possible if needed but candidate must meet most requirements
Eligibility: US Citizen or Green Card only
Key responsibilities

  • Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
  • Build and optimize data models in Snowflake to support BI, reporting, and analytics.
  • Implement ETL/ELT workflows with dbt to transform raw data into analytics-ready datasets.
  • Tune Snowflake queries, storage/compute usage, and dbt models for performance and cost efficiency.
  • Integrate Snowflake with diverse internal systems and third-party data sources.
  • Implement data quality checks, monitoring, and validation processes.
  • Collaborate with data analysts, data scientists, engineers, and business stakeholders to translate requirements into solutions.
  • Produce and maintain clear documentation for data models, transformations, and pipeline designs.
Required skills & qualifications
  • 5+ years hands-on data engineering experience.
  • Expert SQL skills - writing, optimizing, and debugging complex queries.
  • Proven hands-on Snowflake experience (data modeling, query tuning, architecture/integration).
  • In-depth dbt experience (models, macros, tests, CI/CD/workflow orchestration).
  • Solid understanding of cloud data warehousing concepts and best practices.
  • Experience with ETL/ELT patterns, data quality frameworks, and observability/monitoring.
  • Strong analytical, problem-solving, and communication skills; able to work cross-functionally.
Nice-to-haves
  • Experience with orchestration tools (Airflow, Prefect, Dagster).
  • Familiarity with BI tools (Looker, Tableau, Power BI) and analytics consumption patterns.
  • Python or another scripting language for data engineering tasks.
  • Prior experience in healthcare, claims, or DMEPOS/benefits environments.

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