Data Engineer

🔥 27 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Talkiatry

Talkiatry

501 - 1000 employees

Founded 2019

🏥 Healthcare

👥 B2C

Healthcare • B2C

Talkiatry is a virtual psychiatry provider that delivers 100% online psychiatric care and medication management. The platform matches patients to licensed psychiatrists and other clinicians, offers follow-up care with the same provider, and treats conditions such as ADHD, anxiety, depression, bipolar disorder, OCD, PTSD, insomnia and peripartum/postpartum needs. Talkiatry operates in-network with major insurers, provides copay estimates, a patient portal, and resources like quizzes and medication information. The site notes its clinicians average 10 years of experience, represent multiple subspecialties, and speak many languages.

📋 Description

• Build and maintain ingestion pipelines and Python services running on AWS (Lambda, ECS) • Develop and maintain dbt models in our Snowflake warehouse, with thoughtful tests and documentation • Take operational responsibility — participate in the on-call rotation, triage pipeline failures, contribute to post-mortems • Partner with our BI / Analytics Engineering team to translate their needs into reliable DE work • Migrate independently-scheduled tasks and pipelines into Airflow DAGs as we standardize orchestration • Contribute to our CI/CD pipelines (GitHub Actions) and team standards • Mentor newer team members and review their work

🎯 Requirements

• 2+ years working as a Data Engineer (or in a closely-related role: backend engineering with substantial data work, analytics engineering, etc.) • Strong Python — you're a programmer, not just someone who can write SQL. You can write clear, testable Python and understand idiomatic patterns. • Advanced SQL — you've written non-trivial queries against a cloud warehouse, you understand window functions, joins, and how to write SQL that performs. • Conceptual understanding of CI/CD pipelines — you don't need to have built one yourself, but you understand what they do and why they matter. • Experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, etc.); Snowflake preferred. • Comfortable in a cloud computing environment, ideally AWS. • Bachelor's degree in computer science or similar is preferred but not required.

🏖️ Benefits

• Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more!

Apply Now

Similar Jobs

🔥 1 hour ago

TRM Labs

201 - 500

₿ Crypto

📋 Compliance

🤝 B2B

Data Engineer responsible for performance tuning and reliability of AI-driven data pipelines for government cloud investigations. Collaborating on distributed systems with advanced AI tools in a high-compliance environment.

🔥 1 hour ago

Climb

2 - 10

💼 Consulting

🏢 Enterprise

☁️ SaaS

Senior Data Engineer at Climb, designing and building data platforms using Databricks and cloud ecosystems. Focused on modernizing enterprise data for analytics and AI applications.

🔥 1 hour ago

Outmarket AI

11 - 50

🤖 Artificial Intelligence

🛡️ Insurance

☁️ SaaS

Data Engineer at Outmarket transforming messy insurance data into clean datasets for analytics and AI. Collaborating on building pipelines that drive insights and automation for insurance brokerages.

🔥 1 hour ago

Vivian Health

51 - 200

🏥 Healthcare

🏪 Marketplace

🎯 Recruiter

Data Engineer at Vivian Health developing data pipelines and APIs for healthcare recruitment. Join a mission-driven remote team transforming healthcare hiring efficiencies.

🇺🇸 United States – Remote

💵 $140k - $170k / year

💰 $60M Private Equity Round - Vivian Health on 2022-04

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🔥 2 hours ago

Runway

51 - 200

🤖 Artificial Intelligence

☁️ SaaS

📱 Media

Research Engineer specializing in AI to develop world simulation datasets and pipelines at Runway. Collaborating within a creative team to enhance model capabilities in machine learning.