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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** DATAOPS LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $85,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Airflow, Amazon Web Services, Amazon S3, Cloud Computing, Code Review, Data Architecture, Data Auditing, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Systems, DevOps, Monitoring of Systems, Identity and Access Management, Python (Programming Language), Meta-Data Management, Standard Sql, DataOps, Data Streaming, Talend, Workflow Management Systems, Data Ingestion, System Availability, Snowflake, Amazon Virtual Private Cloud (VPC), Git, Containerization, Pyspark, Core Data, AWS Glue, Real Time Data, Data Management, Splunk, Data Pipelines, Confluent, Amazon Redshift - **Published:** October 3, 2026 - **Apply:** https://www.builtincolorado.com/job/data-engineer/11491856?handler=ApplyRedirect ## About the Role * 10+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data role * Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management * Proven track record of building and managing petabyte-scale data infrastructure in a cloud-native environment * Insurance industry experience preferred but not mandatory * Tools: + Cloud Environment: AWS (S3, IAM, VPC, etc.) + Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, Git Strong SQL, Pyspark and Python ## Description We are seeking an experienced and visionary Senior Full-Stack Data Engineer to lead the architecture, development, and optimization of a next-generation data platform. This is a critical role for an individual with over 10 years of deep data engineering expertise, capable of driving technical direction, mentoring team members, and delivering high-impact solutions in a fast-paced project environment.. Responsibilities * Platform Strategy & Leadership + Technical Direction: Define and champion the architectural roadmap and best practices for our end-to-end data pipelines, ensuring scalability, reliability, and security across the platform. + Team Mentorship & Project Velocity: Act as a primary technical mentor, guiding a team of engineers, conducting code reviews, and aggressively driving the project timeline to ensure rapid delivery of data products. + Stakeholder Collaboration: Partner with Data Scientists, Analysts, and business stakeholders to translate complex requirements into robust, production-ready data solutions. + Collaboration with Data Scientists and ML Engineers: Data Accessibility, Support for Model Development, Data Quality Assurance * Data Pipeline Development & Management + Ingestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, ensuring data quality and integrity. + Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster, focusing on modularity and reusability. + Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability. + Data Security and Privacy: Data Anonymization, Compliance with Regulations + Be well versed with DataOps and DevOps fundamentals * Assist and drive the Data Ecosystem Management & Monitoring + Open Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools for efficient schema evolution and data management. + Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena. + Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issues ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [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) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Stop Committing Your Secrets - GIt Hooks To The Rescue!](https://www.wearedevelopers.com/videos/573-stop-committing-your-secrets-git-hooks-to-the-rescue) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)