Data Engineer - Quant Trading
@ Deeter Investments LLP

Hybrid
$150,000
Hybrid
Full Time
Posted 1 day ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXX******* @deeterinvestments.com
Recommended after applying

Job Details

About Deeter Investments

Deeter Investments is a founder‑led proprietary trading firm built around real‑time, data‑driven decision‑making. We prize curiosity, collaboration, and a bias for action. After years of discretionary success, we’re launching a dedicated algorithmic division.

Role Description

As our first Data Engineer - Quant Trading, you’ll own critical datasets end-to-end from ingestion and system architecture to reliability and access. You will design, build, and run the data backbone for our algorithmic team while collaborating with traders and researchers to transform messy external feeds into high-performance, structured datasets for research and production.

Key Responsibilities

  • Architect cloud-native batch and streaming ELT, standardizing and de-duplicating data.
  • Establish core platform components: storage, orchestration, CI/CD, IaC, and observability.
  • Implement data quality checks, anomaly detection, and maintain data histories.
  • Expose clean data via APIs and query layers for research and production use.
  • Collaborate with quants, DS, and SWE to prototype and productionize datasets.
  • Maintain security and access hygiene using IAM, secrets management, and audits.

Qualifications & Experience

  • 5+ years of production data pipeline and platform experience.
  • Strong Python and SQL skills; familiarity with distributed, time-series, or NoSQL databases.
  • Experience with at least one major cloud provider (AWS/GCP/Azure).
  • Knowledge of Docker, Terraform (or similar), and orchestration tools (Airflow/Prefect/Dagster).
  • Familiarity with distributed compute frameworks (Spark/Dask/Beam) and data warehouses/lakes.
  • Experience in monitoring, observability, and cost management.
  • Proven delivery for quantitative or ML/DS teams with clear design trade-offs.

Nice to Have

  • Experience with financial/time-series data and alternative data ingestion.
  • Knowledge in multimodal ETL including NLP, image/video processing.
  • Experience with dataset/version control tools like LakeFS or DVC.

Key skills/competency

Data Pipelines, ELT, Cloud, Python, SQL, Docker, Terraform, Orchestration, Observability, API

Apply without a personalized resume

How to Get Hired at Deeter Investments LLP

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data engineering skills.
  • Tailor application: Emphasize cloud and Python experience.
  • Research Deeter Investments: Understand their trading and tech focus.
  • Prepare for interviews: Focus on technical scenarios and data design.

📝 Interview Preparation Advice

Technical Preparation

Review cloud service provider documentation.
Practice Python and SQL coding challenges.
Study ELT and orchestration frameworks.
Learn Docker, Terraform, and containerization basics.

Behavioral Questions

Describe a challenging data project.
Explain teamwork in problem-solving.
Discuss handling tight deadlines.
Share how you manage ambiguous requirements.

Frequently Asked Questions