Lead Engineer, Data Pipeline

Worldscape Technology•Redmond, WA

1d•Onsite

About The Position

Worldscape is a cutting-edge platform designed to unify distributed data, sensors, and intelligent agents across cloud, on-prem, and edge environments. By combining geospatial intelligence, physics-based 3D simulation, and reward-driven AI, Worldscape enables organizations to build immersive digital twins for predictive modeling, scenario planning, and adaptive decision-making. With a zero-trust security framework, seamless integration with legacy systems, and robust developer tools, Worldscape empowers rapid deployment of agentic applications that drive resilience and efficiency in sectors like logistics, telecom, defense, and infrastructure. Worldscape is seeking a Lead Data Pipeline Engineer to join our fast-moving, innovative engineering team. In this role, you’ll architect and build highly scalable distributed data systems that power new capabilities within the Worldscape platform. You’ll lead critical engineering and architectural decisions, provide technical direction to the team, and tackle complex data design and implementation challenges. You’ll collaborate with top-tier engineers to share knowledge, influence technology and process decisions, and help architect agentic AI solutions, ultimately driving performance, scalability, and reliability across our products. This is an onsite role that will be located in Redmond, WA.

Requirements

Minimum of 8 years of software development experience with a distinguished track record of delivering complex enterprise services (or equivalent experience).
Minimum of 5 years of experience with programming in C++, Python, or an equivalent compiled language
Experience building and maintaining ETL/ELT pipelines
Experience with real-time data processing (Kafka, Apache, and similar)
Experience with multiple database technologies, especially Relational Databases (SQL), PostgreSQL, MySQL, Graph Databases, and Time-Series Databases.
Strong understanding of modern CI/CD methodologies and Git-based workflows
Clear and persuasive written and oral communication skills to lead or persuade fellow engineers and non-technical audience
A breadth of technology and engineering skills, knowledge, and experience -comfortable with topics spanning programming languages, agentic AI, advanced networking, compute and data platforms, as well as automation and simulation

Nice To Haves

Experience working on real time data processing technologies
Experience with Edge and IoT processing technologies
Familiarity with testing methodologies and fully comfortable with TDD/BDD development practices
Familiarity with developing applications deployed on public cloud infrastructure such as GCP, AWS, or Azure

Responsibilities

Work with product managers and technology teams to understand roadmap priorities and shape product features that address customers' needs.
Employ advanced knowledge of data structures, data modeling and design, and common software design patterns focusing on microservice architecture.
Articulate design and architecture trade-offs and apply software design patterns to solve complex engineering problems efficiently.
Drive design and implementation based on sound engineering principles and best practices, focusing on testability, maintainability, and scalability.
Provide overall project design and estimates for business and technology strategy needs during project scoping phases.
Manage the velocity of delivery without compromising the quality of product releases.
Mentor other engineers to make sound technical decisions and help build effective software engineering practices, especially in adopting formal testing as part of the software development process.
Embrace the “you build it, you run it” engineering principle.
Champion good software engineering habits, such as clean code principles, security, tech debt balance, TDD, and “going end-to-end early”.
Own, diagnose, and resolve complex system technical issues and code defects.
Collaborate with engineering leadership to help establish the technical roadmap to facilitate innovation and enhancement of product capabilities.
Provide leadership with a point of view on "what’s next" in technology, coding tools, applications, and concepts.
Drive a culture of technical excellence, continuous improvement, and lifelong learning.