> Markdown version of [/jobs/ext/2059895-telecommute-data-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/2059895-telecommute-data-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Data Reliability Engineer - **Company:** PamTen - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, ARM Architecture, Databases, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Database Queries, Python (Programming Language), Role-Based Access Control, SQL Stored Procedures, SQL Databases, Circleci, Data Processing, Snowflake, AI Platforms, Gitlab-ci, Streamlit Framework, Terraform, Data Pipelines - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/52652ccd-707e-4004-a6e2-e321df3308de ## About the Role * Expert-level understanding of Snowflake architecture and core warehousing concepts, including virtual warehouses, databases, schemas, roles, data engineering workflows, and data modeling principles. * Strong SQL development skills, including experience building and optimizing complex queries and stored procedures using SQL and/or Python, preferably within Snowflake. * Hands-on experience designing and implementing ELT/ETL patterns, data pipelines, and reusable data transformation logic for reliable and scalable data processing. * Experience building CI/CD automation for data platform or infrastructure workflows using tools such as Terraform, CircleCI, GitLab CI/CD, or similar technologies. Good to have skills: - * Previous experience working with Airflow. * Previous experience developing Snowflake Streamlit applications. * Previous experience working with dbt. ## Description * Support a range of Snowflake DBA-related requests, including virtual warehouse configuration changes, warehouse tagging logic implementation, schema and database creation, role setup, authentication configuration, and platform governance feature enablement. * Develop data engineering ELT pipelines using SQL and dbt-based technologies to support analytics and AI-related data processing use cases. * Design, develop, and integrate a Snowflake RBAC architecture using Snowflake database roles. * Participate in the Data Reliability Engineering on-call rotation, providing tier-1 support for affiliation data engineering pipelines, including weekend coverage as needed. * Develop Snowflake Streamlit applications to automate DBA-related tasks and improve operational efficiency. * Orchestrate ELT pipelines using Apache Airflow to schedule, monitor, and manage workflow execution. * Develop AI capabilities using AWS AI services such as Textract and Snowflake Cortex AI functions. ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Securing Your Web Application Pipeline From Intruders](https://www.wearedevelopers.com/videos/53-securing-your-web-application-pipeline-from-intruders) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [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) ## 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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Mastering Remote Work: Tips for Developers](https://www.wearedevelopers.com/magazine/558-mastering-remote-work-tips-for-developers)