Software Engineer, Grid-Scale Batteries

Overview Gridmatic seeks its first data engineer to own the ingestion and transformation of mission‑critical datasets for ML, optimization, and energy operations. You will work closely with ML and optimization teams to ensure reliable data pipelines across weather, grid, and battery telemetry data. You’ll shape data models, storage strategies, and data products to enable fast, data‑driven decisions. This role combines hands‑on engineering with shaping our data architecture in a startup environment, offering impact at scale. Compensation / BenefitsContinuing Education OpportunitiesFlexible PTOMedical, Dental and Vision plans with competitive employer contributionsPre-Tax commuter benefits$1500/year non profit donation matching program through MillieHome Office Stipend ResponsibilitiesOwn ingestion and transformation of datasets essential for ML, renewable energy supply, and battery storageDesign data models and storage strategies for large-scale time-series data (weather, energy, telemetry)Develop data products using DBT and create dashboards to support business decisionsContribute to data architecture and best practices for data storage and usageCollaborate with ML/optimization teams and maintain reliable, well-tested codebase Key requirementsStrong data engineer with experience in large-scale production data pipelinesExperience with data storage and schema design (relational DBs, data warehouses, object storage, timeseries data)Startup or similar environment experience with high ownership and ambiguityStrong software engineering skills focused on maintainable, testable codeHands‑on experience with data processing tools such as DBT, Spark, Kafka, Flink, Beam, Dataflowownership mindsetability to navigate ambiguity and high scopecross-functional collaborationPythonGCPKubernetes