Overview DecisionPoint seeks an Integration Engineer (Middleware Specialist) to design, build, and manage middleware components, transformation logic, and event-driven workflows that enable secure, scalable, and…
Opportunity is not evenly distributed. Shopify puts independence within reach for anyone with a dream to start a business. We propel entrepreneurs and enterprises to scale the heights of their potential. Since 2006,…
Lead Data Scientist - Zwolle - 40 uur - 5 jaar werkervaring - €5.000 - €7.000 Please note: Proficiency in the Dutch language is required Over deze rol Iedere dag verschuiven we bij Zonneplan honderden MWh duurzame…
Amsterdam, Netherlands Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of…
Company overview: Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and…
Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a…
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for…
As Blend’s Databricks Field CTO, you will help grow our Databricks business across North America, combining executive advisory, technical pre-sales, and architecture leadership. You will work with Blend Client…
About the team At Zillow Group, we are constantly innovating ways to operate, monetize, and improve our nationwide real estate marketplace. The Data Science, Analytics and Engineering team supports several lines of…
The engineer works on ground mission software within Anduril's Lattice OS, an AI-powered command and control platform for U.S. and allied military systems. Core technologies include autonomy, AI, computer vision, sensor fusion, and networking.
Product Manager for Anduril's Data & Operations team, owning internal planning, forecasting, and tracking tools. Day to day: define requirements, align stakeholders, work with engineering on data models, and lead rollouts of internal software products. Core technologies: SQL, Excel.
Supply Chain Master Data Analyst at Anduril Industries, responsible for governing supply chain master data (supplier records, commodity codes, part lead times, contracts) and supporting analytics with SQL, Python, and visualization tools. Requires 5+ years in aerospace/defense data engineering and onsite presence in Costa Mesa, CA.
Owns data workstreams end-to-end for Anduril's Hardware Test team, building Palantir Foundry pipelines, data models, and dashboards from telemetry and test data. Writes small Python or Go services, partners with test and infrastructure teams, and produces design docs and RFCs for production data products.
Data Engineer building petabyte-scale data pipelines on BigQuery, Databricks, and Palantir Foundry using Python and SQL, with cloud (GCP/AWS/Azure) and Kubernetes; requires US Top Secret clearance.
Product Manager for ERP/Finance Systems at defense tech company Anduril, owning ERP (Oracle Fusion, NetSuite, SAP), cost accounting, data pipelines for FP&A, and automating financial processes across Finance, Operations, and Engineering.
Builds and maintains ETL/ELT pipelines and data models that turn HR system data (HRIS, ATS, LMS) into analytics-ready datasets for people analytics. Uses SQL, Python, dbt, Airflow/Flyte and cloud warehouses (Snowflake, BigQuery, Redshift) to support People Analysts and HR stakeholders while enforcing data quality and privacy (GDPR, CCPA).
Senior Data Engineer at Anduril Industries designing and building data pipelines, models, and the data platform using Palantir Foundry, SQLMesh, Athena, Iceberg, Flyte, and AWS/Azure/GCP, while leading team members in a player-coach role.
A Senior ML Engineer at Anduril Industries bridges ML research and production by hardening and deploying ML systems on factory floors and in the cloud. The role owns MLOps infrastructure, inference pipelines, on-call rotations, and cross-functional coordination using Python, PyTorch/TensorFlow, Docker, Kubernetes, and edge/OT environments.
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