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Snowflake Jobs in Avon, CT (NOW HIRING)

Familiarity with Snowflake Cortex or similar AI/ML platforms. * Healthcare domain knowledge (Medicare STARS a plus). * Proficiency in Python or SQL for data interaction. Responsibilities: * Design ...

GenAI Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable. * Build and maintain cloud-native ETL/ELT processes using ...

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable. * Build and maintain cloud-native ETL/ELT processes using ...

GenAI Data Engineer

Hartford, CT · Remote

$117K - $140K/yr

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable. * Build and maintain cloud-native ETL/ELT processes using ...

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Hands-on experience with Snowflake (data modeling, query optimization, SnowSQL). * Proficiency in Python for data processing and automation. * Experience with Hive and other big data technologies is ...

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers, performance tuning). • Hands-on experience with Snowflake (data ...

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Snowflake information

See Avon, CT salary details

$35

$66

$83

How much do snowflake jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for snowflake in Avon, CT is $66.52, according to ZipRecruiter salary data. Most workers in this role earn between $58.89 and $75.43 per hour, depending on experience, location, and employer.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

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

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

Does Snowflake offer remote jobs?

Snowflake offers remote job opportunities for various roles, including data engineers, analysts, and software engineers. Many positions are fully remote or have flexible work arrangements, often requiring proficiency with cloud platforms and collaboration tools. Candidates should review specific job listings for location and remote work options.

Is Snowflake a good career?

A career as a Snowflake professional typically involves working with cloud data platforms, data warehousing, and SQL skills. It offers opportunities in data engineering, analytics, and cloud computing, with demand driven by the growth of data-driven decision making. Certifications and continuous learning can enhance job prospects in this field.

What exactly does Snowflake do?

A Snowflake professional typically works with the Snowflake data platform, which is a cloud-based data warehousing service. They manage data integration, optimize queries, and ensure data security within the platform, often using SQL and cloud infrastructure skills. The role involves supporting data analytics and business intelligence initiatives.

What are popular job titles related to Snowflake jobs in Avon, CT?

For Snowflake jobs in Avon, CT, the most frequently searched job titles are:

What cities near Avon, CT are hiring for Snowflake jobs?

Cities near Avon, CT with the most Snowflake job openings:

Infographic showing various Snowflake job openings in Avon, CT as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $138,364 per year, or $66.5 per hour.

Snowflake Architect

Transcend Softech LLC

Hartford, CT • On-site

Contractor

Re-posted 20 days ago


Job description

Snowflake Architect

Hartford CT

Long Term Contract!

Job Summary:

We are seeking a highly experienced Snowflake Architect to design and implement scalable, high-performance cloud data warehouse solutions. The ideal candidate will have strong expertise in Snowflake, cloud platforms, and modern data architecture, with the ability to lead end-to-end data transformation initiatives.

Required Skills:

  • Strong hands-on experience with Snowflake architecture and administration.
  • Expertise in SQL, data modeling (Star/Snowflake schema), and data warehousing concepts.
  • Experience with cloud platforms (AWS / Azure / GCP).
  • Proficiency in ETL/ELT tools (Informatica, Talend, Matillion, dbt).
  • Strong knowledge of data integration, transformation, and orchestration tools.
  • Experience with performance tuning and query optimization in Snowflake.
  • Knowledge of data security, masking, and governance frameworks.