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Full Time Snowflake Jobs (NOW HIRING)

Snowflake

SEC Reporting Manager

Dublin, CA · On-site

$141K - $184K/yr

At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. SEC Reporting Manager DUBLIN, CA AND/OR MENLO PARK FINANCE FULL-TIME We're looking for ...

Infosys

Snowflake Data Engineer

Broomfield, CO · On-site

$74K - $110K/yr

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... Python, DBT, Snowflake, Cortex Code AI / Gen AI, Azure cloud • Drive data modeling ...

Saransh Inc

AWS Data Engineer (12+ yrs) - Full Time

Plano, TX · On-site

$109K - $131K/yr

Plano, TX (Onsite from Day 1) Job Type: Full Time Experience Required: 12+ years * We are looking ... The ideal candidate has strong experience with Snowflake, Kafka, MuleSoft, and AWS-native analytics ...

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How much do full time snowflake jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for full time snowflake in the United States is $67.61, according to ZipRecruiter salary data. Most workers in this role earn between $59.86 and $76.68 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a full time Snowflake data engineer?

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 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 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.

Can you work remotely at Snowflake?

Full Time Snowflake roles often offer remote work options, depending on the company's policies and the specific position. Many remote opportunities require familiarity with cloud platforms, collaboration tools, and a suitable home office setup. Candidates should review the job listing for remote work eligibility and requirements.

Is full time Snowflake a high paying job?

Full-time Snowflake roles, such as data engineers or analysts, tend to offer competitive salaries due to the demand for cloud data platform skills. Compensation varies based on experience, location, and certifications, but generally aligns with other data and cloud computing positions in the industry.
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Full Time Snowflake jobs near you
Infographic showing various Full Time Snowflake job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 1% Part Time, and 5% Contract. Highlights an 72% Physical, 8% Hybrid, and 20% Remote job distribution, with an average salary of $140,621 per year, or $67.6 per hour.

Snowflake Data Engineering Consultant

San Antonio, TX • On-site, Remote

ISHIR
IT Services • 51 - 200 employees
Learn more about ISHIRexternal

$103K - $124K/yr

Full-time

Posted 7 days ago

Job description

Job Title - Snowflake Data Engineering Consultant

Duration - 12+ Months

Work Mode- Onsite

Work Location- San Antonio,TX

Position Summary:
We are seeking an experienced Analytics/Data Engineer with strong expertise in Snowflake, SQL, dbt, Python, and dimensional data modeling, specializing in transforming complex banking and financial data into scalable enterprise analytics solutions. Skilled in modeling core banking data, integrating ancillary sources and API payloads, developing production-grade dbt pipelines with automated data quality testing, and optimizing Snowflake performance and security. Proven experience with Kimball methodologies, SCDs, semi-structured JSON/VARIANT data, GitHub, Postman, Azure, and hybrid Linux environments, with a strong understanding of financial data and core banking platforms such as Jack Henry.

PRINCIPAL DUTIES AND RESPONSIBILITIES (May perform any or all of the following):

  • Jack Henry Core Data Modeling: Architect and build dimensional data models (Kimball star schema/snowflake schema) around Jack Henry core banking structures (accounts, transactions, customer profiles, general ledger).
  • Ancillary Data Integration: Design dbt transformation pipelines that join and append external third-party data feeds to the Jack Henry core data foundation.
  • dbt Pipeline & Testing: Develop, test, and document modular dbt transformation models, incorporating automated data quality checks and version control via GitHub.
  • API Payload Transformation: Collaborate with our Python developers to process, flatten, and model raw JSON/relational API payloads landed from Jack Henry and other vendor interfaces.
  • Snowflake Performance & Security: Optimize virtual warehouses, role-based access controls (RBAC), clustering, and query execution for banking analytics.
    Qualifications & Experience Required (3+ Years)
  • Core Banking Domain: Direct experience working with Jack Henry core banking system data structures or similar core financial platforms.
  • Snowflake & SQL: Deep expertise in Snowflake architecture, complex SQL, and handling semi-structured data (parsing JSON/VARIANT payloads).
  • dbt Expertise: Proven track record building production dbt models, data quality tests, and documentation.
  • Dimensional Modeling: Strong background in Kimball methodology, slowly changing dimensions (SCDs), and financial data modeling.
  • Technical Stack Familiarity: Hands-on experience working alongside Python API ingestion workflows, GitHub version control, Postman API testing, and hybrid Linux/Azure environments.
    ABOUT ISHIR

ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI.

We are not just consultants, we are partners in our clients' success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes.

At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies.

As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR.

ISHIR attracts a special type of individual-someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration

Employment Type: FULL_TIME

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