Senior Data Software Engineer

We are seeking a Senior Data Software Engineer to build and support scalable data pipelines that keep enterprise data reliable, secure, and available for analytics and reporting. You will partner with cross-functional stakeholders to optimize storage, transformation, and quality processes. Responsibilities Design scalable data pipeline architectures for ingestion, transformation, and serving Build and maintain data processing workflows that meet reliability, performance, and scalability needs Ensure data integrity, security, and availability aligned with industry practices and organizational requirements Develop complex SQL procedures and scripts for transformation, aggregation, and retrieval Optimize BigQuery and SQL Server datasets, queries, and storage patterns for cost and performance Implement data quality monitoring, validation checks, and alerting to keep production data accurate Collaborate with data architects, modelers, and IT partners to align engineering work with delivery goals Integrate new data management technologies and engineering tools into existing environments Support data warehouse strategy and execution with a focus on scalability, reliability, and performance Analyze and validate source and curated data to ensure it meets reporting and BI needs Automate data processing and integration tasks using Python scripts Stay current on data engineering methods and propose improvements to reduce risk and operational effort Requirements 3+ years of data engineering experience in building and maintaining data pipelines Google Cloud BigQuery experience for dataset design, pipeline optimization, and query performance Microsoft SQL Server experience with complex SQL, procedures, and scripting Senior-level ownership skills to drive solutions from design through production support Data pipeline tools knowledge with workflow orchestration or scheduling concepts Strong database knowledge in relational theory, schema design, and performance tuning Bachelor's degree in Computer Science, Engineering, Information Technology, or related field Strong analytical skills to validate data and troubleshoot pipeline or quality issues Strong communication skills to collaborate with technical and non-technical partners Upper-Intermediate English proficiency (B2) Strong collaboration skills to work effectively with data architects and IT partners Nice to have Python data libraries experience (Pandas, NumPy)