Senior Data Engineer

Seeking a Senior Data Engineer to design, build, and operate data architecture for analytics, ML/AI, and BI on a large-scale consumer software platform. Responsibilities include ETL/ELT pipeline development, data quality frameworks, and collaborating with data scientists.

Seeking a Senior Data Engineer to design and optimize data platforms, focusing on scalable ingestion, Lakehouse performance, and elevating engineering standards. Role involves technical architecture of data products.

Seeking a Senior Data Engineer to design, build, and optimize data platform capabilities for analytics, reporting, and AI. Requires strong Python, SQL, and lakehouse experience.

Seeking a Senior Data Engineer to design, build, and maintain scalable data platforms and pipelines using tools like Azure Fabric, Databricks, and Snowflake. Requires 4+ years experience and strong SQL/Python skills.

Data Engineer responsible for developing data solutions, automating reporting pipelines, building real-time dashboards, and optimizing data queries using GCP technologies. Requires 5+ years of experience and strong SQL skills.

Seeking a Senior Data Engineer to design, develop, and implement data solutions using AWS technologies and Python. Responsibilities include building data pipelines, data modeling, and supporting the enterprise data platform.

Seeking a Senior Data Engineer to design and implement scalable data architectures, optimize data pipelines, and build/maintain data models and lakes. Role focuses on transforming raw data into ML-ready features and ensuring data quality and reliability.

Seeking a Senior Data Engineer to build and deploy components of a modern data platform, including ingestion, data lake, and pipelines. The role involves maintaining existing systems while transitioning to a new Databricks-based environment.

Seeking a Senior Data Engineer to build and maintain data lakehouse architecture and ETL/ELT pipelines. Responsibilities include technical leadership, code reviews, and solution design, with a focus on AWS, Snowflake, and data modeling.