Senior Data Engineer

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October 22

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Atreides

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SaaS • Government • Enterprise

Atreides is a SaaS analytics company that transforms petabytes of geospatial and geotemporal data into clear, actionable intelligence. Their platform ingests and fuses land, sea, air, cyber, and space datasets and applies proprietary attribution, modeling, and behavioral analytics to surface relationships, patterns, and anomalies in near real-time. Atreides serves defense, public sector, and commercial customers, enabling faster strategic and tactical decision-making by delivering curated, explainable insights rather than raw bulk data.

11 - 50 employees

☁️ SaaS

🏛️ Government

🏢 Enterprise

📋 Description

• Design, develop, and optimize the core software platform to handle large-scale geospatial datasets, integrate big data sources, and support advanced data analytics. • Build and maintain big data architectures and data pipelines to efficiently process large volumes of geospatial and sensor data. • Develop systems that integrate geospatial data from a variety of sources (e.g., satellite imagery, remote sensing, IoT sensors, and GIS data) and process this data for use in data analytics applications. • Implement data analytics capabilities on the platform that enable processing, analysis, and visualization of geospatial and sensor data. • Build real-time or near-real-time data processing systems to deliver actionable insights to end-users. • Work with cloud platforms (AWS, GCP, Azure) to deploy and scale big data systems. • Ensure that platform components adhere to data privacy, security, and compliance regulations. • Collaborate with data scientists, geospatial analysts, and product managers to identify requirements and build platform features that align with business objectives. • Continuously monitor platform performance, troubleshoot issues, and implement optimizations to improve scalability, efficiency, and user experience.

🎯 Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Geospatial Intelligence, Data Science, or a related field, or equivalent experience. • 5+ years of experience in software engineering, with a focus on building and optimizing large-scale platforms for big data, data analytics, or geospatial data. • Strong background in developing big data applications, data pipelines, and distributed systems. • Proven experience working with geospatial data, including GIS, satellite imagery, and remote sensing data, and integrating it into data-driven applications. • Familiarity with geospatial data formats (e.g., GeoJSON, Shapefiles, KML) and tools (e.g., PostGIS, GDAL, GeoServer). • Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. • Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. • Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment. • Strong knowledge of data warehousing, data lakes, and data pipeline design for large-scale data integration and storage. • Familiarity with machine learning and AI techniques for data analytics (e.g., classification, regression, clustering, anomaly detection). • Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) for deploying scalable applications. • Strong understanding of geospatial concepts and techniques (e.g., spatial queries, coordinate systems, projections). • Experience with geospatial analytics tools such as ArcGIS, QGIS, or similar platforms is a plus. • Experience with SQL and NoSQL databases, including spatial databases (PostGIS, MongoDB, Elasticsearch), for storing and querying geospatial and big data.

🏖️ Benefits

• 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