Senior Data Engineer: Scalable Data Architect & MLOps

Talkspace Network LLC

New York (NY)

Ibrido

USD 146.000 - 180.000

Tempo pieno

14 giorni+

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Il tuo curriculum e una lettera di presentazione personalizzati, che corrispondono esattamente a ciò che sta cercando.

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Vantaggi offerti da questo lavoro

Comprehensive Medical, Dental and Vision plans
401k Retirement Savings Program with matching
Monthly Wellness Stipend
Flexible PTO
Free access to Talkspace products

Descrizione del lavoro

A mental health technology service in New York is seeking a Senior Data Engineer to lead the design and development of scalable data architectures. This role involves managing ETL processes, collaborating with teams to support data-driven decision-making, and enhancing data workflows. Ideal candidates should have 4-6 years of experience, strong skills in Python, AWS, SQL, and familiarity with Airflow and DBT. The position requires working 1-2 days a week in the NYC office with flexible remote options.

Competenze

  • 4-6 years of experience in data engineering or related roles.
  • Strong track record of manipulating and managing large datasets.
  • Proven experience in designing and optimizing data warehouses.

Mansioni

  • Lead the design, development, and maintenance of high-performance data architectures.
  • Oversee complex ETL/ELT processes from diverse sources.
  • Develop and maintain MLOps pipelines for machine learning models.

Conoscenze

Python
AWS
SQL
ETL/ELT processes
Airflow
DBT
Google Looker
Infrastructure as Code (AWS CDK)

Formazione

BA/BS in Computer Science, Data Engineering, or related field
Advanced degree (preferred)

Strumenti

Redshift
Circle CI

Descrizione del lavoro

A mental health technology service in New York is seeking a Senior Data Engineer to lead the design and development of scalable data architectures. This role involves managing ETL processes, collaborating with teams to support data-driven decision-making, and enhancing data workflows. Ideal candidates should have 4-6 years of experience, strong skills in Python, AWS, SQL, and familiarity with Airflow and DBT. The position requires working 1-2 days a week in the NYC office with flexible remote options.
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