Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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HeadSpin

WebsiteLinkedInAll Job Openings

201 - 500 employees

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

SaaS • Enterprise • Artificial Intelligence

HeadSpin is a comprehensive digital experience platform specializing in the optimization and testing of mobile apps and digital media. The company provides an automated and manual testing platform powered by data science insights, enabling easy and extensive end-to-end automation of the quality assurance (QA) process. HeadSpin offers regression intelligence, audio-visual testing, and continuous app performance monitoring using synthetic data. Its platform supports teams like DevOps, Engineering, and Site Reliability Engineering (SRE) by ensuring apps' optimal performance and superior digital experiences. Trusted by enterprises worldwide, HeadSpin accelerates development cycles, reduces production issues, and offers AI-enabled insights for quality improvement.

📋 Description

• Design and build extraction, transformation, and loading (ETL) pipelines using Microsoft Fabric (Dataflow Gen2, Notebooks, or equivalent tools) • Write optimized SQL queries and transformations for data ingestion from designated source systems • Apply data quality rules and validation logic at each pipeline stage • Implement incremental loads and manage refresh schedules for performance • Define and implement data quality checks at ingestion, transformation, and output stages • Perform ongoing data validation to ensure pipeline outputs align with business logic and source system expectations • Build and maintain data transformations using Power Query, SQL, or Python as appropriate • Optimize data structures for performance and maintainability • Troubleshoot pipeline failures and performance issues; coordinate resolution with IT/Engineering • Maintain documentation of data sources, data dictionaries, and transformation specifications

🎯 Requirements

• Strong SQL, ETL, and data quality skills • Advanced SQL — query optimization, window functions, performance tuning, debugging complex transformations • Proficient with Microsoft Fabric — (Dataflow Gen2, Notebooks, Lakehouse) OR equivalent ETL tools (Python, dbt, Talend, Informatica) • Strong understanding of relational database design and dimensional modeling • Power Query / M — complex data shaping, merging, error handling, and transformation logic • Python or similar scripting language — data manipulation, pipeline automation • Git/version control basics — able to collaborate on code and track changes • Data quality and testing frameworks — unit tests, assertions, validation rules • Mortgage/lending domain familiarity preferred; willingness to learn domain required

🏖️ Benefits

• Health insurance • Paid time off • Flexible work arrangements • Professional development opportunities