> Markdown version of [/jobs/ext/3660625-data-engineer](https://www.wearedevelopers.com/jobs/ext/3660625-data-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). --- # Data Engineer - **Company:** IDR, Inc. - **Location:** Denver, CO, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Training Data, Data Cleansing, Information Engineering, Data Governance, Data Warehousing, Python (Programming Language), Machine Learning, Systems Integration, Technical Data Management Systems, Transact-SQL, Git, Ansi Sql, Data Management, Software Version Control, Data Pipelines, Databricks - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75936656-data-engineer ## About the Role * 5+ years of experience in data engineering and/or data warehousing. * 4+ years of hands-on experience with Azure Databricks. * Experience supporting AI-ready data solutions, including data preparation and transformation for analytics, machine learning, and generative AI. * Proficiency in Python for data-related tasks and system integration. * Mastery of TSQL and ANSI SQL, with experience using version control platforms like Git. ## Description IDR is seeking a Data Engineer to join one of our top clients for a remote opportunity. This role involves designing and implementing scalable data solutions, supporting AI-ready data processing, and collaborating with cross-functional teams to enable data-driven decision-making., * Assist in developing modern data pipelines and architectures to support analytics and machine learning initiatives. * Collaborate with stakeholders to translate business requirements into technical data solutions. * Support data governance, transformation, and integration efforts in a cloud environment, primarily using Azure Databricks. * Develop and monitor metrics for data quality and system performance. * Contribute to evolving enterprise data strategies and best practices.