Top Remote Senior Level Data Engineer Jobs in Seattle, WA

The Staff Machine Learning Engineer at Cruise will drive the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimize ML pipelines, create data pipelines, define metrics for evaluation, and accelerate engineer velocity within Simulation. The role requires expertise in robotics, machine learning, ML frameworks, runtime optimization, and programming skills in C++ or Python.

The Head of Data at Square will lead centralized Data functions including Data Science, Analytics, Machine Learning, and Data Engineering teams. Responsibilities include driving data strategy, overseeing data functions, establishing data governance, and delivering insights to drive business performance.

Seeking a Senior Data Engineer to create and own a data engineering roadmap, collaborate with product and engineering teams, and build data processing pipelines and infrastructure. Must have 5+ years of core data engineering experience with technical proficiency in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.

Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Remote work with a distributed team in the USA and Canada.

The OFRO P&T Risk & Quality Data Science Director at PwC is responsible for developing and monitoring risk management policies, compliance, and technology solutions. The role involves leading a team to assess and manage risks effectively to facilitate the delivery of products and services profitably. The Director will need to have strong communication, critical thinking, and leadership skills.

Develop data infrastructure for data scientists and ensure efficient development of care gap and HCP prioritization models. Partner with product manager and data lead to develop technical architectures for analytical models. Enhance data infrastructure for greater scalability and optimize data delivery.

As a Sr Data Engineer in the Professional Services team at Databricks, you will work on impactful customer technical Big Data projects using the Databricks platform. Responsibilities include guiding strategic customers on transformational big data projects, consulting on architecture and design, and providing product feedback.

Resident Solutions Architect specializing in Big Data challenges on the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects for clients, guiding strategic customers in implementing big data projects, consulting on architecture and design, and collaborating with engineering and customer support. Requires 10+ years of experience with Big Data Technologies and 6+ years of experience in Big Data Architectures independently. Must be proficient in Apache Spark, Kafka, Python, and Scala, and have experience across Cloud Platforms (GCP/AWS/Azure).

Resident Solutions Architect responsible for working on impactful customer technical Big Data projects using the Databricks platform. Requires 10+ years of experience with Big Data Technologies and 6+ years of experience working on Big Data Architectures independently.