As a Data Engineer, you will analyze, design, and implement data pipeline features and infrastructure improvements. You will write efficient, well-tested code and conduct unit and integration testing. You’ll build and optimize data ingestion and ETL/ELT processes. You’ll participate in end-to-end project delivery—from ideation to production. You’ll collaborate cross-functionally with security and product teams to embed security and compliance best practices into development processes.
Design, develop, and maintain data pipelines that ingest, transform, and load data from various sources into data lakes, data warehouses, and data marts using Python, Spark and other cloud services to serve analytics needs and machine learning model requirements. Contribute to the detailed design and architecture of the data platform ensuring consistency, efficiency and reusability of data components and processes.
Design and optimize secure, scalable data pipelines and cloud data warehouse solutions. It’s ideal for someone who thrives in fast-moving environments, values clean architecture, and collaborates well across both technical and non-technical teams.
The Senior Data and AI Engineer will architect, implement, and manage enterprise-grade AI solutions including governance frameworks, and observability solutions. The role involves designing and deploying AI solutions, utilizing AI governance tools, and collaborating with cross-functional teams.
The Senior Data Engineer position at Temporal Technologies will play a key role in transforming and analyzing data within the data platform. This position requires an experienced data engineering professional with deep expertise across the entire data stack, and the ability to collaborate effectively with stakeholders. The ideal candidate will rigorously apply software and data engineering best practices to the ingestion, storage, modeling, and analysis of data.
As a Data Engineer II, you will create production data pipelines for our advanced analytics and data science teams and collaborate with other technical personnel on internal & external data sources and infrastructure needs. The Data Engineer II will assist in design, evaluate, and test data infrastructures and be a subject matter expert for all things data across the organization.
Shape Finaloop's data infrastructure at the forefront of Fintech and AI. You'll join a high-impact R&D team in a fast-paced startup environment, building scalable pipelines and robust data systems that empower eCommerce businesses to make smarter decisions.
Fandango is seeking an experienced and strategic Director of Data Engineering to lead our Core Data Engineering team and our Fandango360 B2B marketing data platform. This role is ideal for a data leader who thrives at the intersection of data infrastructure, marketing technology, and product innovation. You’ll drive the roadmap for data products and pipelines that power decision-making, monetization, and privacy-safe marketing intelligence.
Looking for Data Engineers with EST availability to assist in developing intelligent solutions enabling customers to accelerate discovery, acquire clinical insight, & address R&D challenges. Responsibilities include data organization & analysis, building data systems & pipelines, preparing data for prescriptive & predictive modeling, & designing end-to-end pipelines within a hybrid big data architecture using Cloud Native AWS, Python, & SQL.
As a Tech Lead, you'll guide and evolve the technical architecture of Reach's Data Lake and related platforms, ensuring our data infrastructure meets the highest standards. You will create data ingestion processes using Python and various data processing frameworks. This includes acquiring data from a variety of source systems such as APIs, S3 buckets, and SFTP servers.