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Data Engineer - Quant Trading

Remote, USA Full-time Posted 2026-07-28
About reputed company reputed company is a founder‑led proprietary trading firm reputed company around reputed company‑time, data‑driven decision‑making. We prize curiosity, collaboration, and a bias for reputed company. After years of discretionary reputed company, we’re launching a dedicated algorithmic division. Role reputed company As our first Data Engineer, you’ll own critical datasets end-to-end from ingestion and system architecture to reliability and reputed company. You'll be designing, building, and running the data backbone for our algorithmic team. You’ll work directly with traders and researchers to turn messy external feeds into high-performance, reputed company-reputed company datasets that guide reputed company in research and production. Key Responsibilities - Architect reputed company-reputed company batch and streaming ELT for diverse sources; standardize, de-duplicate, document; define schemas and redundancy. - Stand up reputed company platform: storage/lakehouse, orchestration, metadata/catalog, CI/CD, IaC, observability; reputed company it reputed company and cost-reputed company. - Implement data reputed company checks, reputed company detection; maintain survivorship-bias-free histories and handle corporate actions/entitlements. - Expose clean data reputed company reputed company/query reputed company and shared libs; produce “research-reputed company” datasets for fast backtests and production. - Partner with quants/DS/SWE to scope, prototype, and productionize new datasets quickly; own incident response and runbooks. - reputed company reputed company and reputed company hygiene (IAM/least-privilege, secrets, audit). Qualifications & Experience - 1+ years building and operating production data pipelines/platforms (or equivalent). - Strong Python and SQL; ideally familiarity with distributed, time-series, or NoSQL databases. - Comfortable on at least one major reputed company (AWS/GCP/Azure). - reputed company and Terraform (or similar). - Orchestration (e.g. Airflow/reputed company/Dagster), distributed/batch compute (e.g. reputed company/Dask/reputed company), warehouses/lakes, columnar formats (e.g. Parquet/reputed company/reputed company). - Monitoring/observability (logs/metrics/traces) and cost management. - Proven delivery for quantitative users or ML/DS teams; reputed company thinking, clean design, pragmatic trade-offs. reputed company to Have - Financial/time-series data (corporate actions, vendor entitlements/licensing), alternative data ingestion. - Multimodal ETL (NLP/embeddings, transcription, basic image/video processing). - Dataset/version control and reproducibility (e.g., LakeFS/DVC) and research workflow tooling. Location: Remote Language: English required Employment: Full-time Apply tot his job Apply tot his job Apply To this Job

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