Top Data & Analytics Jobs

As a Lead Data Engineer, you'll design data architectures, optimize workflows, ensure data quality, and collaborate on analytics solutions, focusing on advanced data models and pipelines.

The Data Scientist will support the USGS in Earth observation, lead teams, and translate complex data for decision-making in remote sensing.

The Data Engineer will design and maintain scalable data pipelines, integrate APIs, support ML teams, and optimize data systems for performance and reliability.

The Senior Data Engineer will design and implement ETL pipelines in Snowflake, optimize data models, and mentor peers while handling sensitive healthcare data.

Design enterprise-grade data solutions using Databricks and Azure, optimize data pipelines, ensure compliance, and lead integration architecture efforts.

Develop and maintain data pipelines and reporting tools, support real-time processing workflows, and collaborate with teams to enhance platform capabilities, utilizing Java, Python, and Groovy scripts.

Responsible for IT strategy and solutions in R&D, overseeing system integration, stakeholder collaboration, and project prioritization at Zoetis.

The Data Migration Engineer will design and execute SQL-based ETL processes for migrating public safety data, ensuring high-quality data integration and collaboration with internal and external teams.

The Sr Staff Data Engineer will build and scale data assets on Snowflake and AWS, focusing on data pipeline optimization, AI tools application, and data governance.

As a Senior Data Analytics Engineer at Envoy, you will develop the Intelligence Platform, guide product strategy, support ML workflows, and ensure engineering rigor while mentoring team members.

Lead the development of custom visualizations and outputs using various tools. Engage with stakeholders, analyze data, and mentor staff while ensuring quality and innovative solutions.

The Lead Data Engineer will design and manage data pipelines, mentor others, define architecture, and enhance data solutions to support business needs.

The Senior Data Engineer Contractor will design and implement ETLs in Databricks, modernize data pipelines using Python and SQL, and ensure data governance and quality standards.

The Senior Data Engineer will build and maintain ETL pipelines, enhance entity resolution processes, implement risk calculation logic, and collaborate with product and development teams to refine requirements and manage data releases.

The Data Analytics Platform Engineer will design, build, and maintain data pipelines and scalable platforms, leveraging technologies to derive insights from gathered data for various mission-driven projects.

As a Data Analytics Platform Engineer, you'll design data pipelines, manage analytics platforms, and leverage technologies for impactful data solutions across various missions in cybersecurity and data analysis.

As a Senior Data Engineer I, you will build data capabilities for product expansion, integrate external APIs, design robust data pipelines, and collaborate with various teams to enhance systems and practices.

The Lead Python Developer will design and develop Python-based analytics solutions, create reporting tools, collaborate with stakeholders, and mentor peers in a healthcare analytics environment.

The Sales Data Analytics & Visualization Developer will create advanced analytics and visualizations to support sales and marketing, ensuring strategic objectives are met through actionable insights and automated reporting tools.

The role involves overseeing data engineering activities, improving data governance processes, and mentoring teams while architecting scalable data platforms and solutions.

The Data Analytics Engineer will build reliable data pipelines, transform data for analysis, and create dashboards and reports while collaborating with cross-functional teams.

Implement and enforce data governance, manage data cataloging and metadata, facilitate Atlan adoption, align data models with analytics needs, manage controls and audits, mentor junior staff, and resolve data quality issues while collaborating with business and engineering teams.

Lead design and implementation of batch and streaming data pipelines, build data models, implement data quality and testing, manage orchestration and IaC, mentor engineers, and communicate technical direction and tradeoffs to stakeholders.

The role involves building and optimizing data pipelines, modeling datasets, applying machine learning techniques, and supporting data strategies. Candidates should have experience with Python, data lakes, warehousing, and related technologies.

The Senior Data Engineer will design and optimize data infrastructure, build scalable data pipelines, and ensure data quality while collaborating with various teams.