Intermediate Solutions Engineer

Solutions Engineer Company Overview

Atreides helps organizations transform large and complex multi-modal datasets into information-rich geo‑spatial data subscriptions that can be used across a wide spectrum of use cases. Currently, Atreides focuses on providing high‑fidelity data solutions to enable customers to derive insights quickly.

Atreides transforms the chaos of petabyte‑scale, all‑domain data—land, air, sea, space, and cyber—into real‑time operational clarity. We are a fast‑moving, high‑performance international scale company. We trust our team with autonomy, believing it leads to better results and job satisfaction. With a mission‑driven mindset and entrepreneurial spirit, we are building something new and helping unlock the power of massive‑scale data to make the world safer, stronger, and more prosperous.

We are a passionate team of technologists, data scientists, and analysts with backgrounds in operational intelligence, law enforcement, large multinationals, and cybersecurity operations. We obsess about designing products that will change the way global companies, governments and nonprofits protect themselves from external threats and global adversaries.

As Solutions Engineer, you will take responsibility for implementing and customizing platform capabilities to support customer‑specific data requirements. You will develop workflows and scripts that adapt reusable platform components to unique operational needs. Your work will often span rapid integration efforts, configuration of analytic features, and translation of customer feedback into technical improvements. The role sits at the intersection of engineering and field enablement, requiring both strong technical acumen and a service‑oriented mindset.

• Remain curious and passionate in all aspects of our work
• Promote clear, direct, and transparent communication
• Embrace the 'measure twice, cut once' philosophy
• Value and encourage diverse ideas and technologies
• Lead with empathy in all interactions

• Develop and maintain data workflows tailored to customer data models and ingestion formats.
• Customize platform components through scripting, templating, and configuration interfaces.
• Design and implement validation steps to ensure the integrity of customer‑specific outputs.
• Conduct one‑off data investigations and troubleshooting in response to customer analyst needs.
• Collaborate with the Platform team to suggest enhancements to core APIs or tooling based on field usage.
• Document workflows and ensure versioning and traceability of all deployed artifacts.

• 2–5 years in a data engineering or customer integration role.
• Strong proficiency in Python, SQL (especially Spark SQL), and data pipeline development.
• Familiarity with declarative configuration systems and API integrations.
• Experience with geospatial data processing and transformation is a plus.
• Strong organizational and communication skills to interface with technical and non‑technical users.

• Competitive salary
• Comprehensive health, dental, and vision insurance plans
• Flexible hybrid work environment
• Additional benefits like flexible hours, work travel opportunities, competitive vacation time and parental leave

While meeting all of these criteria would be ideal, we understand that some candidates may meet most, but not all. If you're passionate, curious and ready to "work smart and get things done," we'd love to hear from you.