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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Shimento, Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Agile Methodology, Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Computing Security, Cloud Storage, Code Review, Computer Programming, Databases, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Document-Oriented Databases, Github, Identity and Access Management, Information Lifecycle Management, JSON, Python (Programming Language), Operational Databases, Scrum Methodology, Cloud Services, Azure Data Lake, SQL Stored Procedures, SQL Databases, Workflow Management Systems, Software Organization, Parquet, Data Processing, Freeform SQL, Google Cloud, Enterprise Software Applications, Snowflake, Git, Gitlab-ci, Semi-structured Data, Real Time Data, Apache Kafka, Video Streaming, Terraform, Data Pipelines, Jenkins - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/2f8f1962-59a0-498c-8b8c-5658d6f84377 ## About the Role * 4+ years of experience in data engineering or a related technical role. * 2+ years of hands-on experience with Snowflake. * Strong proficiency in SQL. * Strong programming experience with Python. * Experience developing enterprise-scale ETL/ELT data pipelines. * Strong understanding of data warehousing concepts and dimensional data modeling. * Experience with Snowflake objects including databases, schemas, tables, views, stages, warehouses, tasks, and streams. * Experience working with structured and semi-structured data such as JSON, Parquet, and CSV. * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with Git and software development best practices. * Strong problem-solving and troubleshooting skills. * Excellent communication and collaboration skills. Preferred Qualifications * Experience with Snowpark Python. * Experience with dbt and dbt Cloud. * Experience with Apache Airflow or another workflow orchestration platform. * Experience with Kafka, Kinesis, or other streaming technologies. * Experience with AWS S3, Azure Data Lake Storage, or Google Cloud Storage. * Experience with Terraform or Infrastructure as Code. * Familiarity with CI/CD tools such as GitHub Actions, GitLab CI, Jenkins, or Azure DevOps. * Experience with data quality and observability platforms. * Knowledge of cloud security, encryption, IAM, and data governance. * Experience working with large-scale enterprise data environments. Snowflake's current data engineering capabilities include Snowpark for Python, SQL-based transformations, dbt Projects, Tasks, Streams, and CI/CD-oriented development workflows. ## Description We are seeking an experienced Data Engineer - Snowflake to design, build, and maintain scalable data pipelines and cloud data solutions. The ideal candidate will have strong hands-on experience with Snowflake, SQL, Python, ETL/ELT, data modelling, and cloud data platforms. The Data Engineer will work closely with data analysts, data scientists, software engineers, and business stakeholders to build reliable data products and transform raw data into high-quality, analytics-ready datasets. Snowflake supports modern data engineering workflows using SQL, Python/Snowpark, dbt, tasks, streams, and other capabilities for building and orchestrating data pipelines., * Design, develop, and maintain scalable data pipelines using Snowflake. * Build robust ETL/ELT processes for batch and near-real-time data ingestion. * Develop complex SQL queries, stored procedures, views, and data transformations. * Use Snowpark Python to build scalable data processing and transformation workflows. * Develop and maintain data models for analytics, reporting, and downstream applications. * Implement incremental data processing using Snowflake Streams, Tasks, Dynamic Tables, or equivalent technologies. * Integrate data from APIs, databases, cloud storage, SaaS applications, and enterprise systems. * Develop data ingestion pipelines from platforms such as AWS S3, Azure Data Lake, or other cloud storage systems. * Optimize Snowflake queries, warehouses, tables, and pipelines for performance and cost. * Implement data quality checks, validation, monitoring, and error handling. * Support data governance, security, access controls, and data lifecycle management. * Work with dbt to develop modular, tested, and maintainable transformation pipelines. * Build CI/CD processes for data engineering code and Snowflake deployments. * Troubleshoot production data pipelines and resolve data quality or performance issues. * Collaborate with analysts and business stakeholders to understand data requirements. * Document data architecture, pipeline workflows, data models, and technical processes. * Participate in Agile ceremonies, code reviews, technical design discussions, and sprint planning. ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)