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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Atlassian Data Engineer - **Company:** Celigo, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $130,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Sql Data Warehouse, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Business Analytics Applications, Data Analysis, Audit Trail, Automation of Tests, Big Data, Health Informatics, Cloud Computing, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Systems, Data Vault Modeling, Data Warehousing, Cursor, Distributed Computing Environment, Github, Python (Programming Language), Machine Learning, Language Modeling, Performance Tuning, Software Engineering, SQL Databases, GitHub Copilot, Retrieval-Augmented Generation, Large Language Models, Claude Code, Snowflake, Generative AI, Backend, Event Driven Architecture, Containerization, Information Technology, Data Lineage, Atlassian Tools, Dynamic Data, Machine Learning Operations, Data Pipelines, Api Management, Microservices - **Published:** October 29, 2026 - **Apply:** https://www.builtincolorado.com/job/data-engineer/11948179?handler=ApplyRedirect ## About the Role * Strong hands-on experience with Snowflake, including performance optimization, warehouse configuration, access controls, and cost-efficient development practices. * 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). ## Description Celigo is looking for a Data Engineer to contribute to the development, scaling, and maintenance of our Snowflake-based data ecosystem. You will implement and deliver scalable ELT pipelines, production-grade data models, and the observability frameworks that keep them reliable - translating 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 help enforce data quality standards, align with governance practices, and continuously optimize for cost efficiency and data freshness. You'll bring strong Snowflake experience, a modern dbt-native development mindset, and a fluency with AI-assisted tooling to accelerate your own velocity and collaborate effectively with 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. * Implement data models - including dimensional, data vault, and medallion/lakehouse patterns - to support analytics, BI, and ML use cases. * Collaborate in Architectural discussion and decision making with team * 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., Architects, deploys, and operates scalable data platform infrastructure supporting analytics. Responsibilities include administering Airflow and Superset, managing Terraform infrastructure, building CI/CD pipelines, implementing security and compliance controls, developing dbt data models, cataloging assets in OpenMetadata, automating with Python, and mentoring engineers. The role requires extensive infrastructure and data engineering experience, cloud expertise, container orchestration, and eligibility for CJIS clearance. Top Skills: Ai TechnologiesApache AirflowApache SupersetAWSAzureCi/CdDbtDockerGCPIamKubernetesMachine Learning PipelinesOciOpenmetadataPythonSQLTerraform Optum Data Engineer 7 Days Ago In-Office or Remote 120K-215K Annually Senior level 120K-215K Annually Senior level Artificial Intelligence * Big Data * Healthtech * Information Technology * Machine Learning * Software * Analytics Build and lead production AI/ML, Generative AI, and data engineering solutions for healthcare analytics and patient safety platforms. Develop full-stack applications, microservices, APIs, data pipelines, dashboards, self-service analytics, RAG systems, and event-driven architectures using cloud-native technologies. Apply engineering best practices including testing, CI/CD, observability, security, and performance optimization. Mentor engineers, lead technical initiatives, and collaborate with product, analytics, business, and platform teams. Top Skills: Amazon KinesisAWSAzureAzure Event HubsCi/CdDatabricksDelta LakeGCPGenerative AiJavaJavaScriptKafkaLarge Language Models (Llms)Microsoft FabricMlopsPysparkPythonReactRest ApisRetrieval-Augmented Generation (Rag)SnowflakeSparkSpring BootSQLTypescriptVector Search Atlassian Data Engineer 10 Days Ago In-Office or Remote IN, USA Entry level Entry level Cloud * Information Technology * Productivity * Security * Software * App development * Automation Build and maintain scalable data pipelines, analytical data models, backend data systems, business rules, metrics, and data sources. Partner with teams across finance, growth, product, customer support, sales, and marketing to support analytical needs and improve data-driven decision-making. Own data engineering problems end to end and help advance organizational data practices. 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Key Facts About Colorado Tech * Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey) * Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3 * Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech * Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook) * Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures * Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute