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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Snowflake Data Engineer - **Company:** Kollasoft Inc. - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, JIRA, Microsoft Azure, Big Data, Databases, Continuous Integration, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Database Queries, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Query Optimization, Cloud Services, Data Streaming, Unstructured Data, Data Processing, Freeform SQL, Data Storage Management, Google Cloud, Data Storage Technologies, Snowflake, Apache Spark, Electronic Medical Records, Integration Frameworks, Real Time Data, Apache Kafka, Apache Nifi, Bitbucket, Data Management, Video Streaming, Stream Processing, Software Version Control, Data Pipelines, Serverless Computing, Jenkins, Amazon Redshift - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/9b27b9f4-310f-4ea7-b1a7-7da204594608 ## About the Role * 10+ years of experience in Data Engineering, with a proven track record of designing and building data pipelines and architectures at scale. * At least 4 years of hands-on experience with Snowflake, including data modeling and query optimization, designing and implementing multi-layered data architectures * Experience with cloud services, preferably AWS (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue), for designing, deploying, and managing scalable data solutions. * Strong experience in Big Data technologies like Spark (Python/Scala) for large-scale data processing. * Proficiency in Data Orchestration and Integration tools, such as Apache Airflow, Apache NiFi, DBT, or equivalent. * Expertise in working with relational (e.g., SQL Server, PostgreSQL) and columnar databases (e.g., AWS Redshift, Snowflake), with advanced SQL query writing skills. * Hands-on experience with Kafka or equivalent streaming data systems to process real-time data. * Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. * Proven ability to collaborate with offshore teams and coordinate across time zones to deliver successful projects. * Experience with version control systems like Bitbucket or GitHub, and project management tools such as Jira, with familiarity in working within an Agile/Sprint model. Desired: * Good to have experience with Jenkins for continuous integration and deployment (CI/CD) pipelines and Terraform for infrastructure as code (IaC) automation. ## Description * Design, develop, and optimize data pipelines using Snowflake, including building and maintaining multi-layered data models. Optimize queries, ensure performance, and manage the cost efficiency of Snowflake environments. * Extensive experience working with AWS or other cloud platforms (such as Azure or Google Cloud) to design, deploy, and manage scalable data solutions. Proficient in utilizing cloud-native services for data storage, processing, and orchestration (e.g., S3, EMR, EC2, Redshift, Athena, Lambda, Glue). Familiar with setting up and managing cloud environments for optimal performance and cost-efficiency. * Lead the design and development of Big Data solutions using Apache Spark (Python/Scala), enabling the processing of petabytes of data in both real-time and batch modes. Work with both structured and unstructured data to build efficient data architectures. * Develop and manage end-to-end ETL/ELT pipelines using Apache Airflow, Apache NiFi, DBT, or other equivalent orchestration tools. Automate data workflows, schedule tasks, and ensure the reliability of data pipelines. * Design and implement scalable and efficient data models for data storage and retrieval, ensuring data accessibility and optimization. Work on building and managing multi-layered data models that facilitate easy analysis and reporting. * Work with Kafka or other streaming technologies to enable real-time data ingestion and processing. Build and optimize stream processing solutions to integrate event-driven data sources into the pipeline. * Work with cross-functional teams, including product, engineering, to develop and implement data solutions. Manage and coordinate with offshore development teams to deliver high-quality data engineering solutions on time and within budget. * Write complex SQL queries to transform and process data across relational and columnar databases. Design and maintain scalable database architectures for both operational and analytical workloads. * Continuously seek ways to improve the performance, scalability, and reliability of the data platform. Drive innovation by researching and applying the latest tools and technologies in the data engineering space. ## Related Videos - [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) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [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) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers)