Top Hybrid Data Engineer Jobs

As a Senior Associate in Tech & Data Solutions, you will leverage advanced analytics and data visualization techniques to drive insights for clients. Your responsibilities include building tech-enabled solutions, mentoring junior members, analyzing complex problems, and maintaining professional standards while managing stakeholder expectations.

As a Deals Tech & Data Solutions Associate at PwC, you will leverage advanced analytics techniques to analyze large datasets, support clients in decision-making, and navigate multiple engagements while developing your skills in business consulting.

Manage data conversion and integration processes from legacy systems, develop data warehouses, and provide data analytics solutions for clients. Lead a team in improving data management practices and implementing business intelligence solutions. Act as a problem solver and coach to drive effective team performance.

As a Data Governance Lead, you will manage the implementation of data governance frameworks and processes across HR and Employee Experience. Key responsibilities include overseeing data risk metrics, facilitating audits, driving compliance with regulations, and collaborating with stakeholders to improve data management practices.

The role involves developing autonomous weapon systems, modeling and simulation support, and conducting operational analysis. Candidates will work collaboratively with project teams and handle system trade studies and proposal development.

As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.

As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.

The Principal Engineer will lead efforts in machine learning and AI, collaborating with teams to build impactful products, setting technical standards, and mentoring others. Responsibilities include hands-on development, technical leadership, and influencing hiring and coding practices.

As a Senior Data Engineer, you will design and maintain data infrastructure for Square's Marketing team, focusing on web event data. Responsibilities include building data pipelines, translating requirements for ETL processes, analyzing data sources, monitoring pipeline performance, and improving data quality and efficiency. Your work will significantly influence business decisions and reporting accuracy.

As an Analytics Feature Engineer, you'll work with data scientists to preprocess, transform, and create features from raw data for machine learning models. You'll monitor feature performance, optimize data pipelines, and ensure data quality using tools like Airflow and Databricks, while collaborating across teams.

As a Machine Learning Engineer at Ibotta, you will design, develop, and deploy scalable machine learning models and infrastructure. You will collaborate with cross-functional teams, communicate complex solutions to stakeholders, and contribute to innovative projects involving recommendation systems and generative AI.