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Full Time Snowflake Jobs (NOW HIRING)

Coastal Equities, Inc.

Data Platform Architect (Snowflake)

$65.25 - $84/hr

Must have full-time permanent US work authorization Additional Requirements * Bachelor's Degree ... Snowflake ecosystems; plus occasional in-house competitions with spot bonuses * A flexible and fun ...

Coastal

Data Platform Architect (Snowflake)

$65.25 - $84/hr

Must have full-time permanent US work authorization Additional Requirements * Bachelor's Degree ... Snowflake ecosystems; plus occasional in-house competitions with spot bonuses * A flexible and fun ...

Dentsu, Inc.

Staff Data Engineer (Snowflake)

New York, NY · On-site

$113K - $150K/yr

We're building a next-generation identity solution on a strong Snowflake foundation-and you'll play ... Dentsu Time Type: Full time Contract Type: Permanent Dentsu is committed to providing equal ...

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How much do full time snowflake jobs pay per hour?

As of Jun 27, 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 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 are the key skills and qualifications needed to thrive as a Full Time Snowflake Data Engineer, and why are they important?

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 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 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.

More about Full Time Snowflake jobs
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What states have the most Full Time Snowflake jobs? States with the most job openings for Full Time Snowflake jobs include:
What job categories do people searching Full Time Snowflake jobs look for? The top searched job categories for Full Time Snowflake jobs are:
Full Time Snowflake jobs near you
Snowflake data engineer - Dallas TX

Snowflake data engineer - Dallas TX

Lorven Technologies

Dallas, TX • On-site

$113K - $135K/yr

Full-time

Posted 17 days ago

Job description

Senior Snowflake data engineer
Position: Fulltime
Location: Dallas TX
Duration: Longterm
Job description:
  • Design, develop, and optimize scalable data solutions within Snowflake.
  • Build and maintain logical and physical data models to support analytics and reporting requirements.
  • Develop and optimize advanced SQL queries utilizing features such as PIVOT, GROUPING SETS, ROLLUP, and CUBE.
  • Manage and support Snowflake production environments, ensuring performance, security, and reliability.
  • Implement best practices for data warehousing, governance, and performance tuning.

Data Integration & Pipeline Development
  • Design and implement ETL/ELT pipelines to ingest, transform, and load data from diverse sources.
  • Integrate data from relational databases, REST APIs, SaaS applications, and event-streaming platforms.
  • Build scalable and reusable data ingestion frameworks and transformation processes.
  • Ensure high-quality, consumption-ready datasets through data cleansing, validation, and transformation.

Data Modeling & Architecture
  • Design normalized and dimensional data models, including star and snowflake schemas.
  • Collaborate with business stakeholders to translate requirements into scalable data solutions.
  • Develop and maintain metadata, documentation, and data lineage artifacts.

Python Development
  • Develop Python-based solutions for data transformation, workflow automation, and orchestration.
  • Build API integrations, automation scripts, and data processing services.
  • Implement robust error handling, logging, monitoring, and retry mechanisms.
  • Support deployment and maintenance of production-grade data engineering solutions.

AI & Intelligent Data Workflows
  • Utilize Snowflake Cortex and LLM-powered capabilities to develop intelligent data applications.
  • Design and implement AI agent workflows within the Snowflake ecosystem.
  • Explore and apply agent-based architectures for data discovery, automation, and decision support.
  • Collaborate with data science and AI teams to operationalize AI-driven solutions.

Backend Integration & Services
  • Develop backend integrations using Python and REST APIs.
  • Implement authentication, authorization, pagination, rate limiting, and error-handling strategies.
  • Support service-to-service communication and scalable integration architectures.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong hands-on experience with Snowflake in enterprise production environments.
  • Advanced SQL expertise with complex query optimization and analytical functions.
  • Strong proficiency in Python for data engineering and automation.
  • Experience designing and implementing ETL/ELT pipelines.
  • Expertise in dimensional modeling, data warehousing concepts, and schema design.
  • Experience integrating data from APIs, databases, SaaS platforms, and streaming systems.
  • Familiarity with Snowflake Cortex, LLM functions, or AI-enabled data workflows.
  • Experience with REST API integrations and backend development patterns.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

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