Data Engineer

Full-time

JSR Tech Consulting

Role Description

We are seeking a highly skilled Full Stack Data Engineer to join our team on a contract-to-hire basis. This role focuses on designing, developing, and supporting modern data solutions across a cloud-based data stack. The ideal candidate is highly self-motivated, resourceful, and capable of building scalable data pipelines, frameworks, and full stack data applications leveraging Snowflake, Python, SQL, and modern DevOps practices.

Develop and maintain scalable ELT pipelines and data workflows
Design and implement data models and warehouse structures
Build full stack data applications and backend services
Develop Snowflake-based data solutions within cloud environments
Write high-quality Python and SQL code
Implement automated testing frameworks
Develop reusable data engineering frameworks
Build and maintain CI/CD pipelines using GitHub
Create reporting and visualization solutions (e.g., Power BI)
Monitor and resolve production issues ensuring data reliability

Qualifications

3-5+ years Snowflake experience
7-10+ years Python experience
7-10+ years SQL development experience
Strong full stack development experience
Experience with automated testing and framework development
Experience with CI/CD and GitHub workflows
Experience with data warehouse design and optimization
Cloud platform experience (Azure preferred)
Bachelor's degree or equivalent experience

Requirements

Dagster orchestration
dbt transformations
Gurobi optimization solver
Elementary data validation
Retool development
GoAnywhere MFT
Power BI and DAX
Azure services (ADF, Synapse, Key Vault)
Snowflake ML/AI or R
SQL Server, SSIS, SSRS
Financial services domain experience
Agile methodologies

Benefits

Highly self-motivated with strong ownership
Extreme personal initiative
Ability to work independently and in teams
Highly resourceful problem solver
Strong communication and analytical skills
Ability to manage priorities in fast-paced environments

Apply

Vacancy posted 17 hours ago

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