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Remote Snowflake Jobs in Oklahoma (NOW HIRING)

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

... remote environment. Preferred Qualifications * Experience with healthcare claims, eligibility, or related payer/TPA data. * Experience migrating data infrastructure from SQL Server to Snowflake or ...

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

The schedule is Hybrid, working from the Tulsa office Monday-Thursday and working remote on Friday. Standard or 494 working schedules are available for this role. This role does not require travel ...

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Remote Snowflake information

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$33

$62

$78

How much do remote snowflake jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for remote snowflake in Oklahoma is $62.42, according to ZipRecruiter salary data. Most workers in this role earn between $55.29 and $70.82 per hour, depending on experience, location, and employer.

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.

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 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 a work-from-home or remote work option, allowing employees to perform their duties outside of a traditional office setting. The specific remote work policy may vary by role and team, but remote work is common for roles involving data management, cloud platforms, and collaboration tools. Candidates should review the job listing or contact the employer for detailed policy information.

Does remote Snowflake hire remotely?

Remote Snowflake roles are often available, as the company supports remote work for many positions, especially those related to data engineering, analytics, and cloud infrastructure. Candidates should review specific job postings for location requirements and remote work policies, which can vary by role and team. Skills in Snowflake, SQL, and cloud platforms are typically essential for these positions.

What are the most commonly searched types of Snowflake jobs in Oklahoma?

The most popular types of Snowflake jobs in Oklahoma are:

What are popular job titles related to Remote Snowflake jobs in Oklahoma?

For Remote Snowflake jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Remote Snowflake jobs in Oklahoma look for?

The top searched job categories for Remote Snowflake jobs in Oklahoma are:

What cities in Oklahoma are hiring for Remote Snowflake jobs?

Cities in Oklahoma with the most Remote Snowflake job openings:

Remote Snowflake jobs near you
Infographic showing various Remote Snowflake job openings in Oklahoma as of August 2026, with employment types broken down into 89% Full Time, 5% Part Time, and 6% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $129,840 per year, or $62.4 per hour.

Senior Data Engineer

SmartLight Analytics

Tulsa, OK • On-site, Remote

$96K - $131K/yr

Full-time

Re-posted 10 days ago

Job description

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline development, and Snowflake to lead the modernization of our data infrastructure. In this role, you will build new data pipelines and warehouse models in Snowflake while partnering with our existing SQL Server Data Engineering team to migrate legacy systems to the cloud. You will work with healthcare claims, eligibility, and related data ingested from carrier and TPA partners, as well as data aggregated from internal systems.
This is a hands-on technical role requiring strong self-management, a proven ability to mentor peers, and comfort working with sensitive healthcare data under strict security requirements. As a scaling technology organization, we value ownership, collaboration, and continuous improvement - you will have a direct hand in shaping the tools, processes, and architecture that power our data platform.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.Key Responsibilities
  • Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems.
  • Develop and optimize Snowflake data warehouse models, ensuring performance, reliability, and high availability.
  • Implement and maintain row-level and column-level security policies to protect sensitive healthcare data.
  • Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
  • Build and maintain data transformations using dbt.
  • Monitor pipeline health, troubleshoot failures, and ensure uptime and data integrity across all data flows.
  • Mentor peers and contribute to engineering best practices, code reviews, and documentation.
  • Learn and adopt Sigma as the organization's BI and reporting tool.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, or related field, or equivalent experience.
  • 10+ years of experience in data engineering, ETL development, and data warehouse modeling.
  • Proven hands-on experience with Snowflake, including architecture, optimization, and security.
  • Strong proficiency in SQL and Python.
  • Experience with at least one major BI/visualization platform (e.g., Power BI, Tableau, Looker, Sigma).
  • Experience with dbt and Azure Data Factory.
  • Prior experience working with healthcare data, including familiarity with data sensitivity, HIPAA, and security best practices.
  • Experience implementing row-level and/or column-level security in a data warehouse environment.
  • Strong self-management skills with the ability to work independently in a fully remote environment.
Preferred Qualifications
  • Experience with healthcare claims, eligibility, or related payer/TPA data.
  • Experience migrating data infrastructure from SQL Server to Snowflake or other cloud platforms.
  • Familiarity with Sigma.
  • Experience working in Agile development environments with tools such as Jira.
  • Prior experience in a startup or fast-growing technology company.
About SmartLight Analytics
SmartLight Analytics was formed by a group of industry insiders who sought to reduce rising healthcare costs for self-funded employers. Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

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