Hybrid Principal Software Engineer: Python, SQL & Snowflake

The Depository Trust & Clearing Corporation (DTCC)

Dallas (TX)

Ibrido

USD 140.000 - 190.000

Tempo pieno

11 giorni fa
Generatore di candidature

Distinguiti per questa posizione — genera un curriculum e una lettera di presentazione personalizzati in circa un minuto.

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Vantaggi offerti da questo lavoro

Hybrid work model
Competitive compensation
Health and life insurance
Pension / Retirement benefits
Paid Time Off

Descrizione del lavoro

DTCC in Dallas seeks an Associate Director / Principal-level engineer to lead engineering delivery within the liquidity risk platform. You will design and implement Snowflake–based data solutions, write production-grade SQL, and mentor engineers while aligning with security and resiliency standards.

You will collaborate with business stakeholders and cross-functional teams to deliver end-to-end workflows spanning UI, APIs, and data warehouse layers in a modern data-driven ecosystem.

Competenze

  • 8–10 years of related software engineering experience.
  • Bachelor’s degree preferred or equivalent professional experience.

Mansioni

  • Provide day-to-day technical leadership across one or more applications, including design and implementation oversight.
  • Design and implement Snowflake-based data solutions with production-grade SQL.
  • Embed a risk management mindset with resiliency, security, and controls.
  • Partner with stakeholders to drive innovation and communicate across teams.

Conoscenze

SQL
Python
Angular
Data warehousing
Mentoring
CI/CD
AWS
FastAPI

Formazione

Bachelor's degree

Strumenti

Snowflake
FastAPI
AWS
CI/CD

Descrizione del lavoro

DTCC in Dallas seeks an Associate Director / Principal-level engineer to lead engineering delivery within the liquidity risk platform. You will design and implement Snowflake–based data solutions, write production-grade SQL, and mentor engineers while aligning with security and resiliency standards.

You will collaborate with business stakeholders and cross-functional teams to deliver end-to-end workflows spanning UI, APIs, and data warehouse layers in a modern data-driven ecosystem.

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