> Markdown version of [/jobs/ext/213561-data-engineer-sr](https://www.wearedevelopers.com/jobs/ext/213561-data-engineer-sr). 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 Sr - **Company:** Starbucks - **Location:** Seattle, WA, United States (Remote available) - **Experience:** Expert - **Salary:** $178,602.0 - $209,300.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Microsoft Azure, Information Systems, Continuous Integration, Data Cleansing, Data Governance, Data Integration, Data Retention, Azure Data Lake, SQL Databases, Data Processing, Azure Data Factory, Virtual Environment, Information Technology, Data Management, Data Pipelines, Databricks - **Published:** May 29, 2026 - **Apply:** https://seeker-sp.worksourcewa.com/jobview/GetJob.aspx?JobID=293447163 ## About the Role Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, plus 5 years of progressive, post-baccalaureate related work experience. Must have 5 years of experience in building solutions on SQL Platform. Must have 5 years of experience in Azure Databricks, Azure Data Factory, and Azure Data Lake. Must have 1 year of experience in implementing data platforms on Azure. Must have 1 year of experience in developing CI/CD. Telecommuting permitted up to 100% from anywhere in the U.S. ## Description * Responsible for design, development, testing, and support for data pipelines to enable continuous data processing for data exploration, data preparation and real-time business analytics. * Provide operational intelligence across multiple business lines. * Build data integrations and automation to pull information from a variety of data sources. * Build and support non-interactive (batch, distributed) & real-time, highly available data, data pipeline and technology capabilities. * Translate strategic requirements into business requirements to ensure solutions meet business needs. * Develop scripts to automate deployment of physical and virtual environments; develop tools to monitor usage of virtual resources. * Define & implement data retention policies and procedures. * Define & implement data governance policies and procedures. * Identify improvements in team coding standards and help in implementation of the improvements. * Leverage subject matter expertise to coordinate issue resolution efforts across peer support groups, technical support teams, and vendors. * Develop and maintain documentation relating to all assigned systems and projects. * Perform systems and applications performance characterization and trade-off studies through analysis and simulation. * Perform root cause analysis to identify permanent resolutions to software or business process issues. * Provide on-call coverage 24X7, to support off-hours work and technical support as required, including weekends and holidays. Telecommuting permitted up to 100% from anywhere in the U.S. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [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) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-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) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)