Snowflake/Python Developer

Salary: $85,000 - 125,000 per year Requirements:

• 3–5+ years of data engineering or analytics engineering experience, focused on SQL-based data transformation.
• Production experience using dbt Core or dbt Cloud as a primary development tool.
• Strong SQL skills and knowledge of data modeling best practices, including star and snowflake schemas.
• Proven experience with Snowflake as a cloud data warehouse.
• Python skills for data pipeline integration or ingestion.
• Familiarity with Git-based version control workflows.
• Strong communication and collaboration skills, including the ability to work across engineering and business teams.
• Experience in Agile/Scrum environments and using Jira to manage work.
• A bachelors degree in computer science, data engineering, or a related field.
• A track record of building and maintaining production-scale dbt projects using Snowflake and Airflow.
• Experience working in cross-functional teams with developers, analysts, and product managers.
• Ownership, strong documentation habits, and attention to data quality and performance.
• Preferred: exposure to CI/CD pipelines and automated dbt workflows, cloud platforms such as AWS, downstream analytics tools such as Sigma, Qlik, or Power BI, and Docker or container-based development.

• Design, build, and maintain scalable, modular dbt models and transformation pipelines using dbt Core.
• Apply knowledge of dbt architecture and write Python operators for dbt workflows, along with Jinja code, macros, and seeds.
• Design and develop data warehouses in Snowflake.
• Build and maintain ETL/ELT pipelines that load data from multiple sources.
• Improve Snowflake performance through clustering, warehouse configuration, and query tuning.
• Implement data security controls, including roles, access controls, and masking.
• Use data modeling approaches such as data vault and dimensional modeling, including Kimball and Inmon.
• Automate workflows with orchestration tools such as Apache Airflow or Snowflake Tasks.
• Collaborate with full-stack developers and UI/UX engineers on application features that depend on transformed datasets.
• Work with analysts and stakeholders to gather data requirements and turn them into reliable data models.
• Maintain data quality through testing, documentation, and version control in dbt.
• Participate in Agile ceremonies such as stand-ups and sprint planning, and manage tasks in Jira.
• Integrate dbt into CI/CD pipelines and support automated deployments.
• Monitor data performance and pipeline reliability, and resolve issues proactively.

• Airflow
• AWS
• CI/CD
• Cloud
• Data Vault
• Data Warehouse
• Docker
• ETL
• Git
• Support
• JIRA
• Power BI
• Python
• Qlik
• SQL
• Security
• Snowflake
• dbt
• UX UI Design
• Flow

More:

We are recruiting for a data engineering or analytics engineering role focused on dbt and Snowflake. The position requires an onsite interview next week in Jersey City, New Jersey; virtual interviews are not available.

last updated 41 week of 2026