Top Data & Analytics Jobs

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

Operate and automate LendingTree's cloud data platform (Snowflake) by building CI/CD, troubleshooting ETL/streaming (Kafka), integrating with AWS/Azure services, enforcing security and observability, and partnering with data engineering to improve reliability and cost-efficiency.

The Senior Data Engineer will build and maintain ELT pipelines, manage data workflows, and improve the data warehouse quality while ensuring data integrity and accessibility for stakeholders.

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

The Data Integration Engineer will design, build, and maintain data pipelines and integrations across AWS and Snowflake, ensuring data quality and security while optimizing performance. They will collaborate with various technical teams to implement scalable solutions and document processes for maintainability.

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

As a Staff Data Engineer, you will design and build data solutions, lead projects, mentor team members, and ensure services are secure and scalable.

Design and maintain data pipelines and infrastructure, ensuring data quality and enabling analytics and machine learning. Collaborate with teams to optimize data workflows and architecture.

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 optimize data pipelines and ingestion strategies to support analytics and AI across Watts. Responsibilities include implementing data engineering best practices and mentoring junior engineers.

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 scale and evolve the data platform, develop ETL/ELT pipelines, establish best practices, and optimize systems for performance while collaborating with various teams.

The Senior Data Engineer will design and maintain data infrastructure and pipelines, ensuring data integrity and supporting analytics for a nonprofit organization.

The Data Scientist & Developer will collaborate with engineers to analyze cybersecurity data, develop tools and platforms, and enhance detection capabilities against cyber threats in operational technology environments.

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 Staff Data Engineer will design, build, and optimize large-scale data capabilities, focusing on automation and intelligent decision-making within the organization. Responsibilities include software design, implementation, and promoting best engineering practices.

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.

Design, build, and maintain data platforms for security operations, focusing on data ingestion, processing, analytics, and automation in AWS environments.

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

The Lead Data Engineer is responsible for designing and developing data pipelines, supporting data analytics needs, and guiding junior developers in production environments. They work closely with business units to integrate data and improve BI tools and processes.

Support and administer Oracle databases, optimize data warehouse performance, and collaborate on data technology solutions within payment systems infrastructure.

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

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.

Design, develop and maintain data infrastructure for real-time and batch processing of campaign data, utilizing technologies like Kafka and Spark while ensuring data reliability and performance.