Top Data & Analytics Jobs

The Snowflake Developer designs, develops, and maintains Snowflake environments, data models, and automated data pipelines, ensuring data quality and collaboration with cross-functional teams to meet analytical needs.

The Data Engineer will design data models, build data warehouses and lakes, automate data pipelines, and enable data accessibility while maintaining security standards in a complex environment.

Lead technical strategy and architectural evolution in marketing technology, mentoring teams and driving innovative solutions across data engineering and platforms.

Design, build, and maintain ETL pipelines and data ingestion processes; acquire/map datasets; develop database pipeline architectures and data validation methods; ensure data security and governance; support data migration, transformation, and analytics for security risk insights.

Design, build, and maintain scalable data pipelines and ETL processes. Collaborate with stakeholders to gather requirements, optimize databases and queries for analytics, manage data integrations, ensure data quality, troubleshoot workflows, participate in code reviews, and mentor junior engineers while applying modern data technologies and cloud services.

Design and build high-volume, low-latency data solutions: ingest and normalize diverse data sources, implement ETL and streaming pipelines, build CI/CD for data software, and maintain observability and monitoring.

The Data Engineer II supports data infrastructure operations, resolves issues, ensures platform stability, and implements improvements while collaborating with engineering and analytics teams.

Design, build, and maintain scalable data pipelines and API integrations; implement data quality monitoring and alerting; troubleshoot data issues; collaborate with business stakeholders; support CI/CD processes and scale architecture for future needs.

The Data Engineer II will build and optimize data pipelines, develop reusable data sets, and ensure data integrity and security.

As a Data Engineer, you'll transform raw data into refined offerings, collaborate with stakeholders, build central logic layers, and leverage AI tools for efficient data workflows.

The Senior Snowflake Data Engineer designs and optimizes Snowflake architecture and pipelines, ensuring data governance and performance across Marketing and Sales teams.

Manage and maintain PostgreSQL databases, ensuring availability, performance, and security. Oversee disaster recovery processes, user management, and database optimization. Collaborate to streamline operations using AI tools and support development teams with best practices.

Expand and optimize data pipelines for cross-functional teams, support developers and analysts, implement process improvements, and build analytical tools for business insights.

As a Data Engineer at Ibotta, you'll manage data contracts, enhance AI readiness, ensure data governance, and improve data quality standards.

The Data Developer VI will lead data architecture projects, implement data services, and enhance data solutions across platforms, collaborating with stakeholders and teams to meet business needs.

As a Data Engineer at Edmunds, you will architect and maintain data platforms for analytics and AI/ML, ensuring scalable, reliable data processing and supporting cross-functional collaboration.

As a Data Engineer at PNC, you will design, build, and maintain robust OLTP databases, ensuring high availability and strong performance while collaborating with cross-functional teams to manage data integrity and security.

The Data Engineer will build datasets and pipelines for marketing and sales reporting, collaborating with various teams to support data needs and ensure scalable solutions.

The Data Engineer will develop and implement ETL processes, design data architectures, work with data platforms, and ensure data solutions meet scalability and security needs. Responsibilities include mentoring junior engineers and collaborating with stakeholders to gather requirements and optimize data transformations.

The role involves building large, scalable analytics pipelines, defining data models, integrating data, and collaborating on data architecture and strategies.

The Data Engineer will design and build scalable data systems, contribute to the architecture of the data platform, and collaborate with AI/ML engineers to enhance automation and intelligence in Canoe's systems.

As a Data Engineer, you will transform raw healthcare data into quality intelligence products, lead product development, and mentor junior engineers while collaborating cross-functionally.

The Data Engineer will help build modern data infrastructure, designing ETL pipelines, modeling datasets, and collaborating with teams for improved data quality and accessibility.

As a Data Engineer, you'll lead data engineering projects, develop data transformations, build workflows with Apache Airflow, and ensure data quality and integrity while collaborating with stakeholders.

Lead analytics engineering initiatives, design data pipelines, develop business intelligence solutions, and ensure data governance while collaborating with stakeholders.