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Snowflake Migration Sql Jobs (NOW HIRING)

... SQL Server databases (back end). This engagement focuses on documenting the existing solution ... for upcoming migration of the solution to Snowflake. Required Qualifications * 5+ years of ...

Snowflake Developer

Iselin, NJ · On-site

$50 - $68.50/hr

Develop and maintain ETL processes using SQL and SSIS to ensure efficient data integration and migration. Implement data pipelines and workflows in Snowflake to support data analytics and reporting ...

Strong hands-on experience with Snowflake including queries, data modeling, and data sharing ... Strong SQL proficiency. * Familiarity with ETL pipelines and data migration processes. * Strong ...

Migration from IBM DataStage to Snowflake We are seeking a DataStage Lead for our existing data ... SQL scripts and shell scripts related to ETL processes Develop end to end ETL objects and artifacts ...

SQL Developer

Jersey City, NJ · On-site

$47.25 - $64.75/hr

... as Snowflake, Hadoop. • Significant experience in data normalization, denormalization ... migration techniques from standard database tech to advance softwares. • Ability to work ...

Snowflake Developer

Tallahassee, FL

$108K - $130K/yr

Knowledge of data migration best practices from external data sources and legacy systems (e.g., mainframe, DB2, MS SQL Server, Oracle) into Snowflake. Preferred KSAs: * Experience with data ...

... SQL + scripting: Python/Bash for automation * Deep understanding of Snowflake security: RBAC, masking policies, network policies, key-pair auth * Experience with IaC + schema migration tools:

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Snowflake Migration Sql information

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$21.5K

$87.6K

$127K

How much do snowflake migration sql jobs pay per year?

As of Jun 9, 2026, the average yearly pay for snowflake migration sql in the United States is $87,573.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,500.00 and $100,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Snowflake Migration SQL Specialist, you need expertise in SQL, data modeling, ETL processes, and experience with data warehousing, often supported by a degree in computer science or a related field. Familiarity with tools like Snowflake, Informatica, Talend, and relevant cloud platforms, as well as certifications such as Snowflake SnowPro, are typically required. Strong problem-solving, attention to detail, and effective communication skills help navigate complex migration projects and collaborate with stakeholders. These skills ensure smooth, efficient migrations, maintaining data integrity and optimizing performance in cloud data environments.

What are some common challenges faced during a Snowflake migration project, and how can they be addressed?

One common challenge in Snowflake migration projects is ensuring data consistency and integrity during the transfer process. This often involves validating data between the source and target systems, which can be complex when dealing with large datasets or different data types. Another challenge is refactoring legacy SQL code and stored procedures to be compatible with Snowflake's syntax and features. Collaborating closely with data engineers, database administrators, and business stakeholders is essential to address these issues and ensure a smooth migration. Regular testing, clear documentation, and effective communication among team members can greatly help mitigate risks.

What is the difference between Snowflake Migration Sql vs Data Warehouse Developer?

AspectSnowflake Migration SqlData Warehouse Developer
Primary FocusMigrating data to Snowflake platform using SQL scriptsDesigning, developing, and maintaining data warehouse solutions
Skills RequiredSQL, Snowflake-specific features, ETL processesSQL, data modeling, ETL/ELT, database design
Work EnvironmentCloud-based data migration projectsData warehouse environments, on-premises or cloud
CertificationsSnowflake certifications, SQL proficiencyData warehousing certifications, SQL skills

Snowflake Migration Sql specialists focus on migrating data to Snowflake using SQL, while Data Warehouse Developers design and build data warehouse solutions. Both roles require SQL expertise, but their core responsibilities differ: migration versus development and maintenance of data warehouses.

What is Snowflake migration in SQL?

Snowflake migration in SQL refers to the process of moving data, database objects, and workloads from legacy databases or data warehouses (such as Oracle, SQL Server, or Teradata) to the Snowflake cloud data platform. This migration typically involves extracting data from the source, transforming it as needed, and loading it into Snowflake, as well as converting SQL queries, procedures, and scripts to be compatible with Snowflake’s architecture. The goal is to leverage Snowflake’s scalability, performance, and features while minimizing downtime and ensuring data integrity.
Infographic showing various Snowflake Migration Sql job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 1% Temporary, and 9% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $87,573 per year, or $42.1 per hour.

Test Automation Architect (Data Migration & Snowflake) Kansas City, KS

ESRhealthcare and EXEC STAFF RECRUITERS

Kansas City, KS

Full-time

Posted 8 days ago


Job description

Test Automation Architect (Data Migration & Snowflake) Kansas City, KS

Mode: 100% Onsite

We are seeking a strategic and highly technical Test Automation Architect to lead the quality engineering efforts for a large-scale data migration project to Snowflake. You will be responsible for designing a robust, multi-tool automation framework that ensures data integrity, performance, and seamless business process continuity. As the Architect, you will orchestrate the integration of Tricentis Tosca, UFT, and Python to validate complex ETL pipelines and cloud data warehouse architectures.

Key Responsibilities

Define and implement a hybrid automation strategy using Tosca for model-based UI/API testing, UFT for legacy system integration, and Python for high-volume data validation.

Develop custom Python-based utilities and libraries to perform automated source-to-target reconciliation, schema validation, and data quality checks within Snowflake.

Lead the design of automated workflows that bridge the gap between legacy on-premises systems and modern cloud data environments.

Embed automated testing suites into the DevOps pipeline to enable continuous testing for ETL jobs and data transformations.

Provide architectural governance, conduct code reviews for Python scripts, and establish best practices for Model-Based Test Automation (MBTA) in Tosca.

Design automated tests to evaluate Snowflake warehouse performance, concurrency, and data throughput.

Technical Qualifications

Expert-level knowledge of Snowflake architecture, including Virtual Warehouses, Stages, Snowpipe, and Secure Data Sharing.

Mastery of Tricentis Tosca, including Distributed Execution (DEX), Test Data Service (TDS), and API scan modules.

Advanced proficiency in Micro Focus UFT/One, specifically VBScript scripting, Object Repository management, and legacy application integration.

High proficiency in Python for data engineering tasks, utilizing libraries such as Pandas, PyTest, Great Expectations, and the Snowflake-Python Connector.

Deep understanding of ETL/ELT lifecycles, data mapping, and validating transformations from RDBMS (Oracle, SQL Server) to Cloud Data Warehouses.

Mastery of complex SQL for data profiling