Join the Data Science team to lead the design and development of scalable, high-performance data architectures supporting millions of users. You will define the strategic Data Engineering Roadmap, manage complex ETL/ELT processes using Airflow and DBT, and optimize Redshift environments. This role is pivotal in driving data-driven decisions that improve global mental health access.
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Senior Data Engineer at Talkspace, Inc.
Help provide quality mental healthcare to millions as a Senior Data Engineer at a leading telehealth platform. This New York-based hybrid role offers the chance to lead a strategic data roadmap, managing massive ETL/ELT pipelines and Redshift architectures that drive life-changing clinical outcomes. With a salary up to $180k, a 4% 401k match, and a focus on diversity and belonging, you'll join a mission-driven team scaling MLOps and sophisticated data modeling. If you are a Python and AWS expert passionate about making therapy accessible to all, this is your chance to build infrastructure that truly matters.
About this role
Role overview
About the company
Talkspace, Inc. is a leading provider of virtual mental health care that offers online and mobile therapy services, connecting users with licensed therapists and psychiatrists through web and mobile platforms. It provides messaging therapy, live virtual sessions, psychiatry, medication management, and self-guided tools for individuals, couples, and teens, accessible via subscription and covered by insurers including Medicare.
What you'll do
What you will do
- Design and maintain scalable data architectures for batch and streaming processing using Python, SQL, and AWS.
- Spearhead the administration and optimization of Redshift data warehouses and complex ETL/ELT pipelines with Airflow and DBT.
- Build and automate MLOps pipelines to deploy and monitor machine learning models that power intelligent therapy matching.
Who you are
Who this is a fit for
- 4-6 years of professional experience in data engineering, with deep expertise in Python, SQL, and AWS cloud environments.
- Proven track record of architecting Redshift data warehouses and implementing dimensional modeling for enterprise-scale datasets.
- Hands-on experience with modern data orchestration tools like Airflow and DBT, alongside Infrastructure as Code using AWS CDK.
Why this role
Why this role is remarkable
- High-impact mission where your data engineering work directly facilitates quality mental healthcare for over 2 million individuals globally.
- Ownership of a strategic Data Engineering Roadmap, with the autonomy to design batch and streaming pipelines from the ground up.
- Mature tech stack involving AWS CDK, Redshift, and MLOps, offering the chance to work at the intersection of infrastructure and data science.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.