Top Hybrid Data Engineering Jobs

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.

The Senior Data Engineer will maintain ChowNow's data platform, enhance data pipelines, work with data scientists, and improve data quality and accessibility, contributing to executive decision-making and business growth.

As a Staff Data Engineer, lead the technical roadmap for data infrastructure, manage complex data architectures, and mentor engineers while driving the organization's data platform innovations.

Lead the design and implementation of innovative data models for finance and actuarial use cases, mentoring team members and fostering client interactions.

The Senior Analytics Engineer will build and scale the analytics foundation, transforming data for decision-making across multiple teams and ensuring data quality and automation.

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 Lead Program Analyst manages financial systems performance, focusing on ETL processes, OneStream support, and data architecture. This role emphasizes agile methodologies and cross-functional collaboration in finance.

The Manager, Data Migration will oversee data collection, migration planning, and work with engineers on data translation and operations, while building a data migration team.

The System Conversion Data Mapping Analyst will manage client data conversion to ValonOS, ensuring accurate data mapping and validation through testing and collaboration with engineering teams.

Design, develop, and manage data infrastructure for internal and client projects, focusing on large-scale data pipelines, APIs, and cloud deployments.