> Markdown version of [/jobs/ext/4508956-sr-data-engineer-26-03029](https://www.wearedevelopers.com/jobs/ext/4508956-sr-data-engineer-26-03029). 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). --- # Sr. Data Engineer: 26-03029 - **Company:** Akraya, Inc. - **Location:** Mountain View, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $145,600.0 - $176,800.0 - **Contract:** Temporary to permanent - **Skills:** Query Performance, Artificial Intelligence, Data Analysis, Cloud Computing, Databases, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, SQL Databases, Data Processing, Data Management, Data Pipelines, Programming Languages - **Published:** November 2, 2026 - **Apply:** https://www.careerbuilder.com/job-details/sr-data-engineer-26-03029-mountain-view-ca--ca34b1d1-46ff-44c0-90c5-606605b9f016 ## About the Role Business Intelligence, Data Quality, Artificial Intelligence (AI), Data Management, Data Analysis, Data Processing, Programming Languages, Cloud Computing, Database Extract Transform and Load (ETL), Data Modeling, * 5+ years of hands-on experience in SQL for data manipulation and analysis. * Strong Python programming skills for data engineering tasks. * Hands-on experience with cloud data platforms. Familiarity with building and maintaining ETL/ELT data pipelines is preferred in a cloud-based environment. ## Description This role is responsible for constructing and enhancing robust data pipelines and analytical solutions to support AI-driven products. You will collaborate with various technical teams to ensure data accuracy and accessibility for AI and business intelligence initiatives. The position requires building and optimizing data infrastructure to transform raw data into valuable insights., * Build and maintain efficient data pipelines for processing diverse data types. * Develop and refine ETL/ELT processes using programming languages and cloud services. * Design and implement data models and transformations for analytics and ML. * Ensure data integrity through cleansing, validation, and quality assurance. * Optimize query performance and pipeline execution for scalability.