Data Engineer Jobs in Bellevue, WA

The role involves designing and developing a distributed ML data platform for autonomous vehicles, collaborating with stakeholders, and mentoring engineers while ensuring operational excellence.

As a Senior Business Systems Engineer, you will support data center operations by integrating and automating systems, managing lifecycles, and ensuring operational reliability.

Design and build foundational dimensional data models, enterprise metrics, and curated data products on a modern lakehouse. Partner with business domains to translate processes into scalable, high-quality datasets, optimize analytical workloads, and operate distributed processing systems to support analytics, BI, and AI.

Design, develop, and optimize Teradata data solutions: elicit requirements, create logical/physical designs, write SQL (views/procs/macros), use Teradata utilities for data loads, tune performance for large datasets, coordinate stakeholders, and write Unix shell scripts.

Elicit and analyze requirements; design logical/physical Teradata solutions; develop ETL using Teradata utilities; write SQL (views, stored procedures, macros, functions); perform performance tuning for large datasets; write Unix shell scripts; coordinate with stakeholders and support BI/DW initiatives.

As a Staff Software Engineer, you'll design and operate scalable backend services, collaborate across teams, and ensure high system availability.

As a Senior Software Engineer, you'll design and build data models, APIs, and backend services for a complex datacenter infrastructure platform, while ensuring high performance and scalability.

The Data Engineer will transform customer data into a unified ontology, manage data pipelines, ensure data quality, and support AI systems.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

As a Senior Site Reliability Engineer, you'll ensure the reliability and performance of a Kubernetes-based data platform, focusing on scaling infrastructure, enhancing security, and optimizing deployment processes.

Design and implement data platforms, manage data infrastructure, develop streaming architectures, improve performance, and ensure data compliance.

The Data Engineer builds scalable data pipelines and manages Azure resources, ensuring reliable data access and optimizing data models for analysis and reporting.

The Software Engineer will manage data collection for model training, extend cloud infrastructure for ingestion pipeline, and collaborate with scientists to enhance data quality and efficiency.

Design, build, and support governed cloud and hybrid Finance data architectures and production data pipelines. Develop transformations, reusable data models, and ingestion from ERP and other sources using SQL, Python, Databricks, and dbt. Implement data quality, monitoring, lineage, and SOX-aware controls. Mentor engineers, collaborate with architects and Finance domain experts, and assist in migration of legacy ETL to modern lakehouse platforms to deliver trusted analytics and compliance-ready data products.

The Staff Software Engineer will design and develop scalable data ingestion systems using streaming and batch technologies, lead technical initiatives, automate datasets lifecycle management, and mentor team members.

The Staff Data Engineer will lead the architectural design and implementation of a compliant data platform, collaborating with multiple teams to ensure scalability, reliability, and security.

Design and build scalable, secure infrastructure and core clean-room features for multi-party data collaboration. Implement developer APIs, AI-enabled capabilities and agents, partner with product and cross-functional teams to deliver production systems, and mentor peers to ensure technical excellence and privacy-preserving analytics.

Build and maintain a near real-time financial dashboard by integrating market and forecast APIs, automating financial models, and crafting clear visual narratives using Flourish and Canva. Collaborate with design and marketing partners, ensure data accuracy and performance, and optimize data flows across multiple feeds.

Lead the architecture of core data processing systems for Snowflake, focusing on distributed systems and high-performance data transformation, ensuring efficiency and reliability at scale.

As a Senior Data Engineer at Auger, you will build data systems to transform customer data into a unified ontology for analytics and AI workflows, ensuring data quality and managing the data lifecycle.

The Software Engineer will manage data collection, enhance cloud infrastructure for ingestion, and collaborate with scientists on AI data projects to support model training operations.

The role involves data collection for model training, building datasets on GCP, and collaborating with AI scientists to enhance data processing workflows.

The Senior Software Engineer - Data Engineer will design, build, and operate scalable ETL/ELT pipelines, manage data quality, and collaborate with teams to provide robust enterprise data solutions.

The Staff Software Engineer will design, build, and maintain scalable data infrastructure, ensure reliability, mentor engineers, and enhance data workflows in a collaborative environment.

Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.