Top Data & Analytics Jobs

The Data Engineer will design and maintain scalable data pipelines, implement data solutions on Azure, and ensure data quality and governance to support business intelligence initiatives.

The Data Integration Engineer will design and implement data pipelines while collaborating with business users to meet technical solutions in the financial services sector.

The Senior Data Engineer will build data pipelines, analyze data sources, and collaborate with teams to meet data needs across Appian's business functions.

Lead the design and development of data pipelines, collaborate with cross-functional teams, and mentor other data engineers while optimizing large-scale data systems.

The Data Integration Engineer will design and build scalable data pipelines and manage data warehouses, integrating various data sources and ensuring data quality and operational reporting.

Develop data pipelines and tools supporting analytics and machine learning, collaborating across departments to improve data access and governance, while leading ETL processes and mentoring junior team members.

Design and implement scalable data systems, define core schemas, build data pipelines, and collaborate with data teams.

Design, build, and maintain data pipelines while ensuring data quality and collaboration with data teams. Troubleshoot issues and improve performance.

As a Senior Data Engineer, you will build data infrastructure, develop CI/CD pipelines, and create entity resolution systems, focusing on large-scale data processing and analytics.

As a Staff Software Engineer on the Data Science team at Northbeam, you'll design and implement data-driven solutions, scale data products, and develop machine learning models, directly impacting the company's core product.

As an Associate Engineer in Data Science, you will leverage data analysis and machine learning to solve complex problems and develop inspiring digital products.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

Lead Data Test Engineer responsible for liaising with technology partners, overseeing data testing, ensuring data quality, and managing a team of test engineers.

The Data Analytics Engineer will develop market intelligence solutions, manage large datasets, create data-driven narratives, and collaborate with clients and teams.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

The Staff Data Engineer optimizes SQL queries, manages data storage, collaborates on data lake architecture, and ensures high-speed data processing and retrieval.

As a Senior Data Infrastructure Engineer, you'll manage large-scale data platforms, ensuring their performance and scalability while collaborating with development teams and supporting data initiatives.

The role involves building and optimizing data pipelines, managing data integration, supporting analytics, and collaborating with cross-functional teams to enable data-driven decisions.

The Staff Engineer will focus on finance data analysis and modeling, contributing to innovations that improve customer experience and business performance.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The Data Analytics Engineer will develop innovative data solutions, collaborate with clients, and utilize data for strategic insights and storytelling, ensuring client success.

The Data Analytics Developer will design and implement data visualization solutions, analyze data requests, and ensure quality data management within a cloud environment.

The BI Developer/Data Analyst designs and maintains reporting solutions using Power BI and Azure SQL, ensuring data accuracy and compliance for operational insights.

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

The Senior Data Engineer will develop scalable data pipelines, maintain production datasets, collaborate with teams, and optimize data platform infrastructure.