Senior Data Engineer
Spotted 2d agoFull-time
Job details
- Work mode
- Hybrid
- Employment
- Full-time
- Level
- Senior
- Posted
- Oct 28, 2026
- Last confirmed open
- Oct 28, 2026
Job description
About this role
Job Title:
Senior Data Engineer
Location:
Bellevue, WA (Hybrid)
Job Summary
- Seeking a Senior Data Engineer to design, build, maintain, and optimize enterprise data platforms and pipelines using Microsoft Azure technologies.
- The role focuses on data processing, transformation, analytics enablement, data quality, and scalable data engineering solutions.
Required Skills
- Strong SQL skills, including complex queries, joins, data analysis, and experience with SQL Data Warehouse or Azure SQL.
- Experience with Azure Synapse and PySpark for data processing and transformation.
- Hands-on experience building, maintaining, and enhancing ETL/ELT and big data pipelines.
- Working knowledge of the MSBI stack on Azure.
- Working knowledge of Azure Data Factory and Azure Data Lake Storage.
- Experience with data validation, data quality checks, and pipeline monitoring.
- Strong troubleshooting and problem-solving skills.
- Experience with Azure DevOps, Git version control, and CI/CD practices.
- Ability to perform requirement analysis and convert business requirements into technical solutions.
- Strong analytical and data interpretation skills.
- Excellent verbal and written communication skills.
- Ability to work independently while collaborating effectively with stakeholders and technical teams.
- Experience creating and maintaining technical documentation.
- Mandatory skills:
- Azure Data Factory
- Azure Data Lake
- Azure SQL
- Azure Synapse Analytics
Preferred Skills
- Hands-on experience with Power BI and BI reporting or dashboard development.
- Knowledge of Cosmos DB and Cosmos scripting.
- Experience implementing data pipelines using Cosmos DB.
- Experience with Azure Analytics services.
- Experience working with marketing campaign data and campaign analytics.
- Knowledge of data platform product telemetry analytics.
- Understanding of big data architecture and data engineering best practices.
- Experience with advanced data visualization and dashboarding using Power BI.
- Experience with data pipeline optimization, performance tuning, and cost optimization.
- Strong presentation and whiteboarding skills.
- Software engineering mindset focused on clean, scalable, reusable, and maintainable code.
Qualifications
- Demonstrated experience in Azure-based data engineering and analytics environments.
- Proven ability to design, develop, and support modern cloud data platforms and data pipelines.
- Strong collaboration, communication, and technical documentation skills.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
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