Senior Software Engineer (Data Engineering + Software Engineering) Job

Hello-

Role: Senior Software Engineer (Data Engineering + Software Engineering)
Location: Bellevue, WA (Hybrid / Onsite)
Type: Full-Time / Long-Term Project
Exp: 16+ years
Key Responsibilities
• Design, develop, and own large-scale data processing and ingestion pipelines using Azure Databricks, including Delta Live Tables (DLT) for both batch and streaming workloads.
• Build high-performance, distributed services using C#, Java, or Python.
• Create, explain, and optimize semantic data models, including business logic, relationships, dependencies, and performance considerations.
• Develop scalable, maintainable data systems using cloud-native services on Azure, AWS, or GCP.
• Implement and maintain CI/CD pipelines in collaboration with DevOps teams.
• Apply engineering best practices across performance optimization, cost management, monitoring, and secure design.
• Collaborate with cross-functional teams on design, architecture, and delivery of new features.
• Troubleshoot and resolve complex issues in distributed systems, cloud infrastructure, and data pipelines.
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Required Qualifications
• 5+ years of professional software engineering experience building production-grade systems.
• Strong programming skills in C#, Java, or Python (OOP required).
• Hands-on Azure Databricks experience, including:
o Databricks environments
o Ingestion framework development
o Delta Lake
o Delta Live Tables (DLT) pipeline design
• Ability to walk through and articulate semantic models you have built.
• Experience with CI/CD pipelines and collaboration with DevOps teams.
• Experience with distributed systems, large-scale data processing, or cloud-scale services.
• 3+ years working with Azure or AWS cloud services.
• Strong data modeling, ETL/ELT pipeline development, and data engineering fundamentals.
• Proven ability to deliver scalable systems with high performance and reliability.
• Strong debugging, problem-solving, and architecture decision-making skills.
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Preferred Qualifications
• Experience with Apache Spark, Kafka, Flink, EventHub, or similar technologies.
• Experience with Data Bricks Unity Catalog or Microsoft Fabric.
• Background in data governance, lineage, observability, or data quality frameworks.
• Experience designing ingestion frameworks, monitoring pipelines, and data reliability systems.
• Familiarity with big data analytics, data warehousing, or ML/AI pipelines.
• Excellent communication skills for both technical and non-technical audiences.
• Prior experience at large cloud platform companies is a plus.

Required Qualifications
• 5+ years of professional software engineering experience building production-grade systems.
• Strong programming skills in C#, Java, or Python (OOP required).
• Hands-on Azure Databricks experience, including:
o Databricks environments
o Ingestion framework development
o Delta Lake
o Delta Live Tables (DLT) pipeline design
• Ability to walk through and articulate semantic models you have built.
• Experience with CI/CD pipelines and collaboration with DevOps teams.
• Experience with distributed systems, large-scale data processing, or cloud-scale services.
• 3+ years working with Azure or AWS cloud services.
• Strong data modeling, ETL/ELT pipeline development, and data engineering fundamentals.
• Proven ability to deliver scalable systems with high performance and reliability.
• Strong debugging, problem-solving, and architecture decision-making skills.