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Snowflake Developer Jobs in Connecticut (NOW HIRING)

Snowflake Developer

New Haven, CT · On-site +1

$115K - $138K/yr

Snowflake Engineer Location: New Haven, CT (Preferred) or Remote/Hybrid (Occasional travel, once a month) Job Title : Snowflake Engineer Duration: 6-12 months (Contract to Hire) The client is looking ...

Sr. Snowflake Developer (USDM)

Greenwich, CT · On-site

$61.25 - $80.75/hr

Requirements We are seeking a passionate Snowflake Developer with expertise in data modelling, cloud architecture, SQL, and stored procedures. Key Responsibilities include: * Hands-on experience with ...

Snowflake Engineer

New Haven, CT · On-site +1

$115K - $138K/yr

Snowflake EngineerJob Details Job Title: Snowflake Engineer Location: New Haven, CT (Preferred) OR ... Shell Scripting Orchestration & DevOps * Apache Airflow * ESP * Git * CI/CD Enterprise Tools

Platform Engineering & DevOps

Windsor Locks, CT · Remote

$51.25 - $70.25/hr

... DevOps Location - Connecticut - (Hybrid /Remote) We are hiring a Platform Engineering DevOps ... Snowflake database support, including schemas, roles, warehouses, and access management * Azure ...

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Snowflake Developer information

See Connecticut salary details

$19

$37

$57

How much do snowflake developer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for snowflake developer in Connecticut is $37.92, according to ZipRecruiter salary data. Most workers in this role earn between $28.37 and $47.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Snowflake Developer, and why are they important?

To thrive as a Snowflake Developer, you need expertise in data warehousing concepts, strong SQL skills, and a solid understanding of cloud-based data platforms, often supported by a degree in computer science or a related field. Familiarity with Snowflake-specific features, ETL tools like Informatica or Talend, and certifications such as SnowPro Core are highly beneficial. Attention to detail, problem-solving, and effective communication are crucial soft skills for translating business requirements into technical solutions. These skills ensure efficient data integration, optimized performance, and successful collaboration with cross-functional teams in data-driven environments.

What is the difference between Snowflake Developer vs Data Engineer?

AspectSnowflake DeveloperData Engineer
Primary FocusDesigning and developing Snowflake data solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsSnowflake certifications, SQL, ETL toolsSQL, Python, cloud platforms, data architecture
Work EnvironmentData teams, cloud environments, SQL-focusedData pipelines, cloud platforms, broader data systems
Industry UsageData warehousing, analytics projectsData integration, big data processing

While both roles work within data environments, Snowflake Developers specialize in creating solutions within the Snowflake platform, focusing on data modeling and SQL development. Data Engineers have a broader scope, building data pipelines and infrastructure across multiple platforms. Understanding these differences helps organizations assign the right talent for their data needs.

What jobs in the US pay 300,000 a year?

For a Snowflake Developer, annual salaries of $300,000 or more are typically found in senior or lead roles, especially with extensive experience, specialized skills in cloud data platforms, and certifications. These high-paying positions often involve managing large-scale data architectures, working in high-demand industries, or holding managerial responsibilities.

What are some common challenges a Snowflake Developer faces when migrating data from legacy systems?

Snowflake Developers often encounter challenges such as data format inconsistencies, performance tuning during large-scale data loads, and ensuring data security and compliance when migrating from legacy systems. Addressing these issues requires a strong understanding of Snowflake's architecture and features, such as data sharing, zero-copy cloning, and query optimization. Collaboration with data architects, DBAs, and business stakeholders is essential to ensure a smooth migration and to minimize business disruption.

How much does a Snowflake developer make?

A Snowflake developer's salary typically ranges from $80,000 to $150,000 annually, depending on experience, location, and certifications. Senior roles or those with advanced skills in data warehousing and SQL may earn higher compensation.

Is Snowflake developer a good career?

A Snowflake developer is a specialized data professional who designs and manages data solutions using the Snowflake cloud data platform. This role is in demand due to the growing adoption of cloud data warehousing, and it often requires skills in SQL, data modeling, and cloud environments. It can offer good job prospects, competitive salaries, and opportunities for certification and career growth in data engineering and analytics.

What are Snowflake Developers?

Snowflake Developers are IT professionals who specialize in working with the Snowflake cloud data platform. They design, develop, and maintain data pipelines, data models, and integrations within Snowflake to ensure efficient storage, processing, and retrieval of data. Their responsibilities often include writing SQL queries, optimizing data workflows, implementing security best practices, and collaborating with data analysts and engineers to support business intelligence and analytics needs. Snowflake Developers play a crucial role in leveraging the platform's features to build scalable, high-performance data solutions for organizations.

What jobs pay 200,000 a year in the USA?

In the USA, senior Snowflake Developers with extensive experience, advanced skills in cloud data platforms, and certifications can earn around $200,000 annually. High-paying roles often require expertise in data engineering, cloud architecture, and strong problem-solving abilities, typically within large organizations or consulting firms. Salary levels vary based on location, industry, and individual qualifications.
What cities in Connecticut are hiring for Snowflake Developer jobs? Cities in Connecticut with the most Snowflake Developer job openings:
Infographic showing various Snowflake Developer job openings in Connecticut as of June 2026, with employment types broken down into 72% Full Time, and 28% Contract. Highlights an 76% In-person, and 24% Remote job distribution, with an average salary of $78,875 per year, or $37.9 per hour.

Snowflake Developer

Purplejack Technologies LLC

New Haven, CT • On-site, Remote

$115K - $138K/yr

Other

Posted 10 days ago


Job description

Role: Snowflake Engineer

Location: New Haven, CT (Preferred) or Remote/Hybrid (Occasional travel, once a month)

Job Title: Snowflake Engineer 

Duration: 6-12 months (Contract to Hire)

The client is looking for a Data Engineer who can provide production support to our existing and future ETL environments. The candidate must possess strong technical expertise in Snowflake, data warehousing methodologies like Data Vault 2.0.

Core Responsibilities

  • Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, and optimizing data pipelines.
  • Design, develop, and optimize Snowflake data pipelines and models.
  • Recommend and implement best practices for data ingestion, transformation, storage, security and data modeling.
  • Support advanced features like Change Data Capture (CDC) and Slowly Changing Dimensions (SCD Type 2).
  • Support frameworks like Data Vault and dimensional modeling in Snowflake.
  • Provide production support for IBM DB2Snowflake, and orchestration tools (Airflow, ESP).
  • On-call and/or after-hours work required.

Skills Qualifications

  • Minimum of 5 years of relevant experience in data warehousing, business intelligence tools, and data analysis.
  • Minimum of 3 years of SQL query development across multiple database platforms (Snowflake, Oracle, SQL Server, DB2).
  • Strong expertise in Snowflake (development, data modeling, security). Snowflake certification preferred.
  • Strong proficiency in SQL and scripting languages (e.g., Python, Shell).
  • Familiarity with orchestration tools (ESP, Airflow) and version control systems (Git).
  • Experience with incident management tools (e.g., ServiceNow, Jira) and CI/CD practices.
  • Solid understanding of data architecture, dimensional modeling, and frameworks like Data Vault.