ZipRecruiter

Log In

2

Remote Snowflake Jobs in Clarkston, MI (NOW HIRING)

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Detroit, MI · Remote

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

AI Engineer

Detroit, MI · On-site +1

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will bring deep Snowflake expertise and strong engineering instincts to own production data ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$108K - $147K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... You will bring deep Snowflake expertise and strong engineering instincts to own production data ...

Delan Associates, Inc.

Data Architect

Auburn Hills, MI · On-site +1

$60.25 - $77.50/hr

Expertise in data modeling, including star, snowflake, and other dimensional modeling techniques. Experience architecting and developing database solutions using both OLAP and OLTP technologies.

micro1 AI

Cloud Platform Engineer (GCP) - Remote

Detroit, MI · Remote

$20 - $300/hr

  • Medical

  • Retirement

  • PTO

Remote - US Job Summary: Join our team as a GCP DevOps Engineer and play a crucial role in designing, building, and maintaining modern cloud infrastructure solutions. You will collaborate closely ...

Exiger

Solutions Architect, Commercial

Detroit, MI · Remote

$62.25 - $82.25/hr

  • Medical

  • Dental

  • Vision

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 ...

iFlow Inc

Cloud Engineer

Farmington Hills, MI · Remote

$57 - $76.25/hr

Remote/Farmington Hills, Michigan Duration: Long-term Experience:12-15 Years Description Position Summary: We are seeking a highly motivated and experienced Cloud Infrastructure & Systems ...

United Airlines

Senior Cloud Engineer

Southfield, MI · On-site +1

$70K - $144K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Location Remote based role with preference in Hub Office City. About The Job You're Considering Capgemini CIS is seeking a highly motivated Microsoft 365 Operations Engineer with deep experience in ...

Alfa

Solution Architect

Royal Oak, MI · On-site +1

$58.75 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Flexible work - hybrid or remote work with modern workspaces available * Health, Dental and Vision insurance with reimbursement of copays/coinsurance/deductibles for in-network medical costs * Fully ...

X by 2

Solution Architect

Detroit, MI · On-site +1

$195K - $220K/yr

Hybrid remote model allows the flexibility to work remotely as much as desired. * Paid time off for vacation, unlimited sick days (as needed) and holidays Compensation * Annual raises and promotions ...

All JobsSnowflake JobsRemote Snowflake JobsRemote Snowflake Jobs in Clarkston, MI

Remote Snowflake information

See Clarkston, MI salary details

$36

$69

$86

How much do remote snowflake jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote snowflake in Clarkston, MI is $69.10, according to ZipRecruiter salary data. Most workers in this role earn between $61.20 and $78.37 per hour, depending on experience, location, and employer.

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

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?

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.

Does Remote Snowflake hire remotely?

Remote Snowflake positions are often available for remote work, depending on the role and company policies. Many companies that use Snowflake for data warehousing offer remote opportunities, especially for roles involving data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for remote work options and requirements.

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.

Does Remote Snowflake have a work from home policy?

Remote Snowflake positions typically offer flexible work arrangements, including the option to work from home, depending on the role and team requirements. Many remote roles in data and cloud environments prioritize virtual collaboration tools and asynchronous communication. Candidates should review specific job postings for detailed work-from-home policies.
What are popular job titles related to Remote Snowflake jobs in Clarkston, MI? For Remote Snowflake jobs in Clarkston, MI, the most frequently searched job titles are:
What cities near Clarkston, MI are hiring for Remote Snowflake jobs? Cities near Clarkston, MI with the most Remote Snowflake job openings:
Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Clarkston, MI as of August 2026, with employment types broken down into 87% Full Time, 4% Part Time, and 9% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $143,737 per year, or $69.1 per hour.

AI Engineer

Kobie Marketing

Detroit, MI • Remote

Full-time

Re-posted 26 days ago

Job description

Join a National Top Workplace 
 
Named a Top Workplace in the USA and Top Remote Workplace, Kobie is where the best minds in loyalty come together, driven by passion and innovation. We’re always looking for talented individuals who are ready to join a collaborative, growth-focused culture. As a partner to some of the world’s most recognized brands, we are leaders in loyalty, helping brands build lasting emotional connections with their consumers. 
 
Join Us from Anywhere 
While our headquarters are nestled in sunny St. Petersburg, Florida, Kobie embraces a flexible work environment, offering teammates the freedom to work remotely. We understand the importance of work-life balance and support our team with: 

·         Flexible Time Off to recharge when needed 
·         Nine Company-Wide Holidays 
·         A diverse suite of benefits prioritizing your growth, development, and personal well-being 

Discover more about our perks and benefits here. 
 
Kobie is a values-led organization where we believe that everyone is a leader, regardless of their position or role. 


About the team and what we’ll build together

Kobie runs some of the largest loyalty programs in the world. We're building an internal agent platform on Amazon AgentCore that automates analyst workflows, surfaces insights from program data in Snowflake, and gives our teams and clients an LLM-native way to work with complex loyalty logic.

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses, writing the tools those agents call, and owning the reliability and evaluation of what goes to production. This is not a research role. You'll prototype, ship, monitor, and iterate on features used by real teams

Our team tends to be people who reason carefully, ship working code,and pick up new tools without a lot of handholding. There’s no single path into this role. We value the impact of what you’ve built and your track record of building things that hold up.

How you will make an impact

Agent Development

  • Build agent harnesses in Python using LangChain and LangGraph, including tool-calling, structured outputs (Pydantic/JSON schema), retries, streaming, and memory
  • Package agent harnesses for the AgentCore Runtime with appropriate context, tools, skills, and subagents that fit cleanly into production flows and scenarios
  • Write the tools and skills agents use  API integrations, SQL queries against Snowflake, Snowflake backed knowledge retrieval with clear contracts and Pydantic validation

Evaluation and Reliability

  • Build evaluation harnesses (golden datasets, LLM-as-judge, regression suites) using AgentCore Evaluations, and wire them into CI
  • Implement guardrails around tool execution: auth scoping, input/output validation, PII and prompt-injection protections, and hallucination mitigation
  • You own what you ship: prototype, deploy through Amazon AgentCore, monitor traces, and fix it when it breaks

Collaboration

  • Partner with data engineers on Snowflake backed retrieval patterns (Cortex Analyst and Cortex Search Services)
  • Contribute to refining our internal engineering patterns as the stack evolves

What you need to be successful

Required

  • 3+ years of professional Python, with production experience building and operating services
  • 1+ years of hands-on work with LLMs in production: prompt/context engineering, tool/function calling, structured outputs, RAG
  • Working knowledge of LangChain/LangGraph or a comparable framework like AgentCore Strands, CrewAI, or Semantic Kernel
  • Experience with LLM observability tools: Amazon CloudWatch, LangSmith, Langfuse, MLflow, or OpenTelemetry
  • Experience designing evaluation frameworks (MLFlow, DeepEval, LLM-as-judge, multi-turn regression)
  • Fluency with Git, Docker, and modern API frameworks
  • Clear written communication and the judgment to know when something is ready to ship

A bachelor's degree is not required. Equivalent practical experience: including bootcamps, self-taught work, career changes, or non-CS technical degrees counts.

Strongly Preferred

  • Hands-on experience with Amazon Bedrock and/or AgentCore as a developer: runtime, gateways, memory, policy, guardrails, observability, awscli, evaluations
  • Experience with Snowflake, Snowpark, or Snowflake Cortex
  • Fluency in writing and reading SQL, as well as understanding semantic models.
  • Familiarity with multi-agent patterns: supervisor/router, subagent/handoff, reflection, human-in-the-loop
  • A considered view on where agents should and shouldn't act and comfort pushing back when "let's add an agent" isn't the right answer
  • Experience in Loyalty, MarTech, AdTech, or a comparable data rich B2B domain
Who we are  As a trusted partner, Kobie delivers market-leading, end-to-end loyalty solutions designed to enable customer experiences for the world's most successful brands. We do this with a strategy-led technology approach that uncovers the truth behind what drives consumers on an emotional level. We believe that our team's passion and expertise are the driving forces behind our success and are proud to be named a Top Workplaces in the USA, where the best and brightest in loyalty drive our mission of growing enterprise value through loyalty. 
 
A place for all We celebrate and embrace diversity at Kobie! 
Employment at Kobie is based solely on an individual's merit and qualifications, which are directly related to professional competence. We do not discriminate against any teammate or applicant because of race,color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy, or any other characteristic protected by applicable law. 
 
We are fiercely committed to fostering a workplace where teammates can bring their authentic selves to work every day. Our DEI initiatives, including various committees, ensure that principles of equity, diversity, and inclusion are deeply ingrained throughout Kobie. While our leadership team fully supports our policy of nondiscrimination and equal opportunity, it is the responsibility of all teammates to uphold these values. 
 
Ready to join us? If you’re ready to make an impact and grow in a supportive, innovative environment, we’d love to hear from you. Apply today and join the best and brightest in loyalty! 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.