Top Data & Analytics Jobs

As a Data Engineer at Common Room, you'll build ETL pipelines, process billions of events daily, and collaborate on backend projects using AWS, Postgres, and Node.js.

The Data Integration Software Developer will integrate various data sources using Kafka, Elastic, and Databricks, managing deployments and developing automation solutions in an Agile environment.

The Data Engineer will design and maintain data pipelines, collaborate with teams on data needs, and ensure data integrity and quality while leveraging AWS services.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

As a Senior Data Engineer II, you will design and operationalize data pipelines, support AI/ML tasks, and ensure integration of identity management systems for classified environments.

As a Data Solutions Engineer, you'll design scalable data solutions, facilitate technical workshops, validate data integrations, and support sales through collaboration with cross-functional teams while staying current on cloud architecture and AI integrations.

Responsible for maintaining and modernizing core data pipelines, collaborating with teams for reliable data delivery, and supporting AWS infrastructure.

As a Senior Data Engineer, you will build data pipelines, improve the data engineering stack, and maintain a data warehouse for analytics. You'll collaborate with teams to ensure data accuracy and contribute to system reliability.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

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

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

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

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

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

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

The Sr Data Quality Engineer will build and maintain data validation frameworks, develop automated quality checks, and partner with teams to ensure data reliability for Tatari's analytics dashboards.

The Sr Data Quality Engineer will develop data validation frameworks, automated data quality checks, and enforce quality standards for data pipelines, while mentoring other engineers and collaborating with teams to ensure data accuracy.

The Sr. Data Quality Engineer will build data validation frameworks, automate data quality checks, monitor pipeline health, and collaborate with teams to ensure reliable data for client analytics.

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

Design and build data pipelines and platforms, ensuring data reliability and scalability for analytics. Collaborate with diverse teams to implement data-driven solutions.

The Data Engineer II will design, build, and maintain data pipelines, ensuring data governance and security. Responsibilities include coding in Python, managing data processing, and collaborating with data teams.

The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.

The Sr. Data Engineer will deliver data solutions for internal partners, lead technical projects, and engage with diverse teams to gather data requirements.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.