Top Data Engineer Jobs

Seeking a Senior Data Engineer to develop scalable data solutions and pipelines on Databricks and AWS, ensuring data quality and promoting engineering excellence.

The role involves supporting cloud data platforms, assisting with BI delivery, contributing to CI/CD workflows, and enhancing platform operations.

The role involves utilizing data visualization tools like Tableau and Databricks for effective data representation and insights.

Develop and maintain Technical Qlik reporting and Power BI dashboards, support Technical Training data, and conduct market performance analysis.

As a Data Platform Engineer at Fetch, you'll build and maintain data ingestion pipelines, operate cloud-native services, and collaborate across teams to enhance data reliability and access.

As a Senior Data Engineer at Polymarket, you'll scale the data platform, manage analytics and serving layers, and ensure data correctness across teams.

Responsible for leading data system design, implementation, and integration. Architects solutions, manages projects, and collaborates with stakeholders to optimize data processes.

Design and build data pipelines and infrastructure; maintain data quality and accessibility; optimize data warehouse architecture while collaborating with teams to meet data needs.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Analytics Engineer/Data Scientist will develop data models for cost analysis and reporting, transforming raw data into structured datasets and providing insights for customer billing.

The Senior Data Engineer will build and maintain data pipelines for cost analytics and chargeback reporting, transforming raw data into structured datasets.

As a Senior Data Engineer, you will design and maintain data infrastructure, implement ETL processes, and optimize data workflows using Python and PySpark.

The Data Analyst will perform data analysis on Defense and Integrated Combat Systems, support automation tasks using MATLAB or Python, assist with technical reporting, and collaborate with teams to improve processes and workflows.

The Data Operations Engineer will monitor and optimize trading processes, enhance integration and deployment pipelines, ensure quality control, and lead continuous improvement initiatives while documenting and reporting on production performance.

The Senior Data Engineer will design, build, and operate data pipelines, ensuring reliability and quality, while collaborating with cross-functional teams.

Design and build scalable platforms for data ingestion and storage, collaborate with hardware engineers, and define engineering processes at Sift.

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 Privacy Engineer will design, develop, and support data discovery, privacy compliance, and data protection solutions, focusing on OneTrust and Informatica tools while collaborating across teams and mentoring junior engineers.

As a Senior Data Engineer, you'll transform raw data into datasets, design production pipelines, integrate customer data, and collaborate with various teams to ensure data quality and reliability.

The Senior Data Engineer will design and implement lakehouse architectures, optimize ClickHouse deployments, develop ETL/ELT pipelines, and create data models to support analytical and operational functions.

The Data Outcomes Engineer will transform unstructured datasets for AI, build data pipelines, ensure data quality, and engage with clients.

The Sr. Data Engineer will develop and maintain data pipelines, optimize performance in Azure, and implement data governance while mentoring junior resources.

The Data Platform Engineer will design and operate ELT pipelines, build data lakes, enforce data governance, and support reporting and analytics initiatives.

As a Data & Automation Engineer, you'll build data platforms, design data models, manage datasets, and optimize data pipelines for analytics and decision-making.

Lead design and delivery of enterprise data platforms using Snowflake and AWS. Architect ELT/CDC pipelines, implement Data Vault 2.0 and dimensional models, optimize Snowflake performance, mentor engineers, partner with stakeholders, and ensure operational reliability and observability for analytics and BI workloads.