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Data Engineer

Remote
Full-time
$120k – $140k

How to apply: Email your résumé (PDF) and a brief cover letter to de@burksfinancialgroup.com. Use the subject line “Application – Data Engineer”.

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Architect and maintain the data pipelines that feed our client portal, quant research lab, and regulatory reporting stack. You will work with modern tooling (dbt, Airflow, DuckDB, GCP BigQuery) to ensure data is accurate, secure, and accessible in near-real-time.

Responsibilities

  • Design, test, and monitor ELT workflows ingesting market & client data
  • Optimise warehouse performance and cost utilisation
  • Implement data quality SLAs and automated anomaly detection
  • Build event-driven microservices that serve analytics APIs
  • Collaborate with quant researchers to curate feature stores
  • Document lineage and provide data-catalog visibility to stakeholders

Requirements

  • 4+ years building cloud-native data pipelines on AWS or GCP
  • Expertise in SQL, Python, dbt, and orchestration tools (Airflow or Dagster)
  • Hands-on experience with columnar warehouses (Snowflake/BigQuery)
  • Understanding of financial data vendors (FactSet, Bloomberg, ICE)
  • Infrastructure-as-Code (Terraform, Pulumi) and CI/CD familiarity
  • Knowledge of SOC 2 and HIPAA/SOX data-security requirements

Benefits & Perks

  • Remote-first culture & flexible 4 × 10 or 5 × 8 schedule options
  • 401(k) with 4 % match and low-fee institutional fund lineup
  • Premium health, dental, vision + mental-health stipend
  • Unlimited PTO with minimum 15-day guideline
  • $3 k technology budget on hire + annual hardware refresh
  • $2 k learning stipend (KubeCon, PyData, etc.) and paid cert exams

Quick Apply

Ready to join our team? Send your cover letter and résumé to get started.

de@burksfinancialgroup.com

About This Role

Department:

Technology

Reports To:

CTO

Start Date:

Immediate

Questions?

Our HR team is here to help with any questions about this role or our application process.

Contact HR

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