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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - Snowflake/DBT - **Company:** Fractal | Intelligence For Imagination - **Location:** United States - **Salary:** $120,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Microsoft Azure, Code Review, Databases, Continuous Integration, Data Governance, Extract Transform Load (ETL), Data Mart, Data Transformation, Data Security, Data Systems, Data Warehousing, Relational Databases, Digital Assets, Dimensional Modeling, Revision Control Systems, Identity and Access Management, Python (Programming Language), Object-Oriented Software Development, Cloud Services, Azure DevOps Pipelines, SQL Stored Procedures, SQL Databases, Data Processing, Freeform SQL, Data Ingestion, Delivery Pipeline, Snowflake, Data Lakes, AWS Glue, AWS Data Analytics, Cloudwatch, Terraform, Software Version Control, Data Pipelines - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/snowflake_dbt-developers-fractal-ai-9615579 ## About the Role * Ability to write complex SQL queries, stored procedures, and user-defined functions. * Skills in optimizing SQL queries for performance and efficiency. * Experience with ETL/ELT tools and techniques, including Snowpipe, AWS Glue, openflow, fivetran or similar tools for real-time and periodic data processing. * Proficiency in transforming data within Snowflake using SQL, with Python being a plus. * Expertise in AWS data services relevant to Snowflake workloads (e.g., S3 data lake integration, IAM roles, KMS encryption, CloudWatch monitoring). * Experience designing and implementing AWS-based data pipelines and integrations with Snowflake (data ingestion from S3, Glue, and other AWS services; orchestration patterns). * Familiarity with Azure DevOps CI/CD pipelines for data assets, including build, test, and release automation, and IaC tooling (e.g., ARM templates, Terraform) as part of the deployment workflow. * Strong understanding of data security, compliance and governance. * Experience with DBT for database object modeling and provisioning. * Experience in version control tools, particularly Azure DevOps. * Good documentation and coaching practice. ## Description We are seeking an experienced Snowflake engineer with a strong emphasis on AWS-based data architectures. This role combines Snowflake expertise with AWS services, DBT modeling, and a robust CI/CD approach using Azure DevOps. You will collaborate with data analysts, data engineers, data architects, and business stakeholders to deliver scalable, secure, and high-quality solution., * In-depth knowledge of Snowflake's data warehousing capabilities. * Implement robust CI/CD processes for data assets and AWS services using Azure DevOps pipelines, infrastructure as code, and artifact/version control; manage promotion from development to production. * Understanding of Snowflake's virtual warehouse architecture and how to optimize performance and cost. * Proficiency in using Snowflake's data sharing and integration features for seamless collaboration. * Develop and optimize complex SQL scripts, stored procedures, and data transformations. * Work closely with data analysts, architects, and business teams to understand requirements and deliver reliable data solutions. * Implement and maintain data models, dimensional modeling for data warehousing, data marts, and star/snowflake schemas to support reporting and analytics. * Integrate data from various sources including APIs, flat files, relational databases, and cloud services. * Ensure data quality, data governance, and compliance standards are met. * Monitor and troubleshoot performance issues, errors, and pipeline failures in Snowflake and associated tools. * Participate in code reviews, testing, and deployment of data solutions in development and production environments. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [How we built an AI-powered code reviewer in 80 hours](https://www.wearedevelopers.com/videos/1511-how-we-built-an-ai-powered-code-reviewer-in-80-hours) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters)