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Snowflake Developer Jobs in Connecticut (NOW HIRING)

Netsynk

Data Warehouse Engineer

New London, CT

This role requires strong expertise in Informatica, Snowflake, SQL, Python, and modern data engineering practices . The successful candidate will work closely with business stakeholders and technical ...

New

Kemper

Senior Data Engineer

Hartford, CT · On-site

$106K - $145K/yr

This role requires deep technicalexpertisewith Snowflake,Core AWS Services, cloud-based architecture, and modern data engineering frameworks. As asenior engineer, you will define architectural ...

PRI Technology

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Business Intelligence Developer with ETL Experience

Greenwich, CT · On-site

$125K - $135K/yr

Business Intelligence Developer with Extract Transform and Load Experience My name is Bill Stevens ... Utilize massively parallel databases including Teradata, Exadata, Snowflake, or Redshift. Translate ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · On-site +1

$115K - $138K/yr

Leverage Snowflake's unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to ... engineering flow to transform unstructured blobs into structured insights. * Tune complex SQL ...

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Snowflake Developer information

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$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.

Data Engineer

Amicis Global

Hartford, CT • On-site

$70 - $80/hr

Contractor

Posted 22 days ago

Job description

Title: Data Engineer
Location: Hartford Insurance Group, CT, 06155
Duration: 6+ Months
Pay: $70-$80/hr on W2 
 
Job Description: Key Responsibilities
Serve as subject matter expert and/or technical lead for large-scale data products.
Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.
Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.
Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.
Build and enhance data pipelines using cloud-based architectures.
Design simplified data models for complex business problems.
Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.
Operate independently while fostering a collaborative, transformation-focused mindset.
Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.
Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
 
Qualifications:
5+ years of data engineering experience.
2+ years developing and operating production workloads in cloud infrastructure.
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Hands-on experience with Snowflake (including SnowSQL, Snowpipe).
Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus).
Proficiency in ETL tools such as Talend and Informatica.
Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines).
Experience with DataOps tools (GitHub, Jenkins, UDeploy).
Familiarity with P&C Commercial Lines business.
 
Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, and Shell scripting.
Experience using Agile tools like Rally.
Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders
Staff Data Engineer
Hands-on experience in Snowflake
Primary skill set is Snowflake
Hybrid position - 3 days in the office in Hartford or Charlotte
Must be prepared for an in-person interview 
Data mapping and data modeling
Coordinate with stakeholders and understand how the new model in Snowflake will look
Putting together a new agile team of 5 to 6 people
Red flag on resume: if they have all the technologies, primarily looking for someone able to explain what they worked on and what challenges they faced
Insurance experience is an added advantage; I would choose someone with P&C experience over someone without
Coding assessment in interview: SQL, Snowflake