Top Senior Data Engineer Jobs

As a Staff Data Engineer, you'll architect secure data systems, build pipelines, enforce best practices for sensitive data management, and mentor teams across Tonal.

The Senior Data Engineer designs and optimizes data platforms, collaborates with stakeholders, and integrates AI technologies to enhance data capabilities and operational efficiency.

The Senior Data Engineer will develop and maintain data pipelines, ensuring data quality and enabling data-driven decision-making in research IT.

The Lead Data Engineer will manage U.S. Data Strategy capabilities, translating business objectives into cloud data solutions, while ensuring scalability and security. This includes ETL, analytics, and technical leadership in a hybrid work environment.

The Senior Data Engineer will design and scale cloud-based data platforms, ensuring quality and performance while collaborating with cross-functional teams to deliver actionable data solutions.

The role involves building and owning data pipelines, maintaining data quality, and creating reporting systems that provide insights to various teams. The candidate will also design AI-ready data infrastructure.

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

Lead data and visualization engineering activities, guide multi-disciplinary teams, develop data platforms, and oversee data-driven projects to generate insights for clients.

The Data and Visualization Engineer will develop and maintain data pipelines, create visualizations, and collaborate with teams to derive insights from data.

The Senior Data Engineer will design, develop, and maintain data solutions, oversee data governance, and mentor junior engineers while collaborating across multiple teams to optimize data processes.

Design, build, and maintain cloud-native data lakehouse architectures and scalable production data pipelines on AWS. Ingest and process time-series, structured, and unstructured data using Databricks/DeltaLake, Snowflake/Redshift and Spark. Develop anomaly detection and forecasting models, enforce data governance, and deliver Gold-layer data products for analytics and visualization.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

Senior Data Engineer responsible for designing and implementing ETL/data warehouse solutions, developing and supporting applications, advising stakeholders, ensuring security and compliance, and leading projects and junior analysts. Requires cloud and Big Data tooling, database and ETL expertise, and domain experience in mortgage origination/servicing.

The role involves developing and optimizing big data applications, collaborating with users, managing the development process, and mentoring less experienced analysts while ensuring compliance with regulations.

Design and maintain data pipelines for analytics and operational decision-making. Collaborate with teams to ensure reliable data systems and governance, utilizing Python and SQL.

As a Senior Data Engineer, you will design and maintain data infrastructure and pipelines, optimize data flow, and collaborate across teams to drive innovation and insights.

Develops and maintains data pipelines, designs ETL processes, creates scalable APIs, performs data analysis, and collaborates on engineering projects.

Design and maintain scalable data pipelines, ensure data quality, and collaborate across teams to support data needs and governance. Lead technology evaluation and implement data solutions.

This role involves designing data pipelines, collaborating with teams, ensuring data quality, mentoring junior engineers, and managing data governance processes.

As a Senior Data Engineer, design and implement scalable Lakehouse environments, manage data ingestion pipelines, optimize storage, and oversee data lifecycles.

Design and maintain scalable data infrastructure, lead data engineering practices, mentor team members, and ensure data governance and quality while promoting collaboration across teams.

The role involves leading data engineering efforts, designing scalable data pipelines, mentoring junior engineers, and ensuring data quality and governance practices. Responsibilities include solution architecture, technical mentorship, and driving automation in data workflows.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.