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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Celigo, Inc. - **Location:** United States - **Experience:** Expert - **Salary:** $130,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Data Analysis, Audit Trail, Automation of Tests, Mobile Application Development, Cloud Computing, Cluster Analysis, Code Review, Cyber Security, Databases, Continuous Delivery, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Migration, Data Security, Data Sharing, Data Systems, Data Vault Modeling, Data Warehousing, Cursor (Graphical User Interface Elements), Programming Tools, Distributed Computing Environment, Electronic Data Interchange (EDI), Github, Python (Programming Language), Performance Tuning, Systems Development Life Cycle, Role-Based Access Control, Requirements Management, Software Engineering, SQL Databases, Scripting, GitHub Copilot, Large Language Models, Snowflake, Information Technology, Data Lineage, Star Schema, Data Management, Dynamic Data, Machine Learning Operations, Data Pipelines, Programming Languages - **Published:** August 11, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-data-engineer-new-york-ny--d90b4a8e-5170-42e8-ba42-114ab37225b3 ## About the Role * Deep expertise in Snowflake architecture, including virtual warehouse configuration, clustering, data sharing, role-based access control, and cost governance. * Strong command of modern ELT tooling such as dbt, Fivetran, Airflow, or Prefect in a Snowflake-native environment. * Hands-on experience integrating AI/ML tools into the development cycle, including AI-assisted coding, automated testing, or LLM-powered data workflows. * Proven ability to translate complex business requirements into scalable, well-documented technical solutions. * Strong communication skills with the ability to collaborate effectively across technical and non-technical teams., * Degree in Computer Science, Engineering, or a related technical field. * 5+ years of hands-on experience in data engineering, specifically building production-grade pipelines and distributed computing frameworks. * 3+ years working directly with Snowflake in a production capacity. * Demonstrated experience in architecting or contributing to at least one full data warehouse migration or rebuild on Snowflake. * Advanced proficiency in SQL and at least one programming language (Python preferred). * Experience with version-controlled, CI/CD-driven data pipeline development (e.g., dbt + GitHub Actions or equivalent). * Familiarity with data governance, security, and compliance considerations in a cloud data warehouse context (e.g., column-level security, dynamic data masking, audit logging)., Access Control, Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Automation, Business Intelligence, Business-to-Business (B2B), Cloud Computing, Code Reviews, Communication Skills, Compensation and Benefits, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Cross-Functional, Data Clustering, Data Management, Data Migration, Data Modeling, Data Quality, Data Warehousing, Database Extract Transform and Load (ETL), Diversity, Documentation, Ecosystems, Electronic Data Interchange (EDI), GitHub, High Reliability, Information/Data Security (InfoSec), Machine Tool, Performance Tuning/Optimization, Process Improvement, Product Engineering, Programming Languages, Programming Tools, Python Programming/Scripting Language, Quality Metrics, Requirements Management, SQL (Structured Query Language), Scalable System Development, Snowflake Schema, Team Player, Test Automation, Use Cases ## Description Celigo is looking for a Senior Data Engineer to serve as a hands-on architect and steward of our Snowflake-based data ecosystem. You will own the design and delivery of scalable ELT pipelines, production-grade data models, and the observability frameworks that keep them reliable - translating complex business requirements into well-documented, high-performance data solutions that power analytics, BI, and ML across the organization. Partnering closely with Analytics, Product, and Engineering, you will enforce data quality standards, contribute to governance practices, and continuously optimize for cost efficiency and data freshness. You'll bring deep Snowflake expertise, a modern dbt-native development mindset, and a fluency with AI-assisted tooling to accelerate your own velocity and raise the bar for the team around you. What would you do if hired? * Design, build, and maintain scalable ELT/ETL pipelines and data infrastructure using Snowflake and modern tooling. * Architect and implement data models - including dimensional, data vault, and medallion/lakehouse patterns - to support analytics, BI, and ML use cases. * Collaborate with Analytics, Product, and Engineering teams to translate business requirements into reliable, well-documented data solutions. * Establish and enforce data quality standards, automated validations, and observability frameworks to ensure high reliability across all pipelines. * Contribute to data governance practices, including documentation, data lineage, access control, and compliance standards. * Monitor and optimize pipeline performance, compute cost efficiency, and data freshness across the warehouse. * Evaluate and implement emerging Snowflake features and data tooling to improve engineering velocity and reduce costs. * Leverage AI-assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or equivalent) to accelerate pipeline development, code review, and documentation. * Participate in code reviews, architectural discussions, and cross-functional technical planning sessions. ## 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) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [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) - [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)