Senior Data Engineer: Scalable Data Architect & MLOps

Talkspace Network LLC; New York (NY); Hybrid; USD 146,000 - 180,000; Full time

Benefits offered by this job

Comprehensive Medical, Dental and Vision plans

401k Retirement Savings Program with matching

Monthly Wellness Stipend

Flexible PTO

Free access to Talkspace products

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

AWS

SQL

ETL/ELT processes

Airflow

DBT

Google Looker

Infrastructure as Code (AWS CDK)

Education

BA/BS in Computer Science, Data Engineering, or related field

Advanced degree (preferred)

Tools

Redshift

Circle CI

Job description

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.