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Data Engineer Snowflake Sql Redshift Jobs (NOW HIRING)

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL ... Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Experience with ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Proficiency in Snowflake SQL and experience with relational databases (e.g., MySQL, PostgreSQL ... Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery). Experience with ...

Jobgether

$88K - $106K/yr

We are currently looking for a Data Engineer (DBT, Snowflake & SQL) in Netherlands. This is an excellent opportunity for a skilled Data Engineer to join an international, fully remote environment ...

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All JobsData Engineer Snowflake Sql Redshift Jobs

Data Engineer Snowflake Sql Redshift information

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$44.5K

$129.7K

$177.5K

How much do data engineer snowflake sql redshift jobs pay per year?

As of Jun 7, 2026, the average yearly pay for data engineer snowflake sql redshift in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a Data Engineer with expertise in Snowflake, SQL, and Redshift do?

A Data Engineer specializing in Snowflake, SQL, and Redshift is responsible for designing, building, and maintaining scalable data pipelines and storage solutions using these technologies. They ensure data is efficiently extracted, transformed, and loaded (ETL) into cloud-based data warehouses like Snowflake and Amazon Redshift. Their work enables organizations to store, manage, and analyze large volumes of data for business intelligence and analytics. Additionally, they optimize database performance, ensure data integrity, and collaborate with data analysts and scientists to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a Data Engineer specializing in Snowflake, SQL, and Redshift, and why are they important?

To thrive as a Data Engineer with expertise in Snowflake, SQL, and Redshift, you need a strong background in database architecture, data modeling, ETL processes, and proficiency in SQL programming. Familiarity with cloud data warehousing platforms such as Snowflake and Amazon Redshift, as well as experience with ETL tools and scripting languages like Python, is typically expected. Strong problem-solving skills, attention to detail, and effective communication are crucial for collaborating with cross-functional teams and troubleshooting complex data issues. These skills ensure reliable, scalable data pipelines and enable organizations to make data-driven decisions efficiently.

How do Data Engineers specializing in Snowflake, SQL, and Redshift typically collaborate with data analysts and data scientists?

Data Engineers working with Snowflake, SQL, and Redshift play a crucial role in enabling efficient data access for analysts and data scientists. They are responsible for designing and maintaining robust data pipelines, ensuring that data is clean, reliable, and optimized for querying. Collaboration often involves understanding the analytical requirements, building or modifying data models, and providing support for complex queries. Regular communication ensures that data infrastructure meets the evolving needs of the analytics team, and that any performance or data quality issues are quickly resolved.

What is the difference between Data Engineer Snowflake SQL Redshift vs Data Engineer Azure Data Factory?

AspectData Engineer Snowflake SQL RedshiftData Engineer Azure Data Factory
Primary FocusData warehousing, ETL, data modelingData integration, orchestration, pipeline development
Skills & CertificationsSQL, cloud data warehouse platforms, ETL toolsAzure services, data pipeline tools, SQL
Work EnvironmentCloud-based data warehouses, SQL environmentsAzure cloud platform, data integration services
Industry UsageFinance, retail, tech companies using cloud data warehousesEnterprises leveraging Azure for data workflows

While both roles involve working with data pipelines and cloud platforms, Data Engineer Snowflake SQL Redshift primarily focuses on data warehousing and SQL-based data modeling, whereas Data Engineer Azure Data Factory emphasizes data integration and orchestration within the Azure ecosystem. The choice depends on the company's cloud infrastructure and specific data needs.

Infographic showing various Data Engineer Snowflake Sql Redshift job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 6% Internship, 25% Full Time, and 68% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Data Engineer - Snowflake / SQL

Data Engineer - Snowflake / SQL

Sammons Financial Group Companies

West Des Moines, IA • On-site

$113K - $135K/yr

Full-time

Posted 27 days ago

Sammons Financial Group rating

8.8

Company rating: 8.8 out of 10

Based on 19 frontline employees who took The Breakroom Quiz

52nd of 260 rated insurance

Job description

Job Summary:
Sammons Financial Group Companies is seeking a Data Engineer who will be responsible for designing and implementing scalable data and integration solutions. The role requires strong technical skills in Snowflake, SQL, and DBT, focusing on enabling high-quality data flow and seamless integration across enterprise systems.
Responsibilities:
• Design, develop, and implement scalable data pipelines and ELT/ETL solutions using Snowflake and modern data engineering frameworks.
• Develop and manage data transformations and orchestration using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or comparable tools.
• Integrate Snowflake with enterprise systems and cloud data platforms (e.g., MuleSoft, Kafka, REST APIs).
• Collaborate with product owner, architects, and developers to translate business and technical requirements into scalable data solutions.
• Prepare and interpret business, functional, and non-functional requirements and translate them into effective data models and pipelines.
• Establish and enforce data engineering standards, best practices, and governance controls.
• Implement quality assurance of data processing, transformations, and error resolution.
• Monitor pipeline performance, reliability, and cost efficiency; recommend and implement improvements.
• Research and recommend emerging tools, patterns, and technologies that improve data delivery and integration efficiency.
Qualifications:
Required:
• Strong technical skills in Snowflake, SQL and DBT
• Experience in designing and implementing scalable data and integration solutions
• Ability to enable high-quality data flow and seamless integration across enterprise systems
• Hands-on technologist and strategic thinker
• Experience in developing and managing data transformations and orchestration using dbt, Azure Data Factory (ADF), Azure Data Lake (ADL), or comparable tools
• Experience in integrating Snowflake with enterprise systems and cloud data platforms (e.g., MuleSoft, Kafka, REST APIs)
• Ability to collaborate with product owner, architects, and developers to translate business and technical requirements into scalable data solutions
• Ability to prepare and interpret business, functional, and non-functional requirements and translate them into effective data models and pipelines
• Establish and enforce data engineering standards, best practices, and governance controls
• Implement quality assurance of data processing, transformations, and error resolution
• Monitor pipeline performance, reliability, and cost efficiency; recommend and implement improvements
• Research and recommend emerging tools, patterns, and technologies that improve data delivery and integration efficiency
• Certifications in Snowflake
• Criminal background check required
Preferred:
• College Degree in the field of computer science, information science, management information systems
• Minimum 8 years' IT development experience or equivalent
• Effective verbal and written communications skills and the ability to communicate with business partners and other IT staff
• Problem solving skills sufficient to perform research and recommend a proposed solution to problems
• Able to work on multiple tasks and meet established deadlines
• Able to effectively direct and coordinate the work of other team members on a project without having HR management responsibility for them
• Knowledge of computer programming languages as required for the system
• Experience in the Life Insurance or Financial Services domain
Company:
Sammons® Financial Group Companies (collectively, Sammons Financial Group) provide today’s most sought after life insurance, annuity, and retirement products. Founded in 1938, the company is headquartered in West Des Moines, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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