Data Engineer // Snowflake // DBT // Series D Startup // Remote

Remote in New York City, NY, US • Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
$180000 - $230000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Computer Hardware
  • Artificial Intelligence
  • Algorithms
  • Reporting
  • SQL
  • Python
  • Data Engineering
  • Performance Tuning
  • Startups
  • Machine Learning (ML)
  • Use Cases
  • Real-time
  • Data Modeling
  • Warehouse
  • Snow Flake Schema
  • Streaming
  • Analytics
  • Dashboard
  • Optimization
  • Collaboration
  • IT Management
  • Mentorship
  • Insurance
  • SAP BASIS
  • Continuous Delivery

Summary

A rapidly scaling health tech company is seeking a Senior Data Engineer to help power its next phase of growth. This is a full-time, remote (US) role working with a modern data stack that includes Snowflake, DBT, Python, SQL, and real-time data pipelines. The company builds connected hardware and AI-driven software used globally to improve human performance through better sleep.

This opportunity is ideal for a senior-level data engineer who wants true ownership. The data platform you build will directly influence product decisions, personalization algorithms, growth strategy, and executive reporting. You'll work in a high-performance environment where speed, quality, and impact matter, and where engineers are trusted to design systems that scale from thousands to millions of users.

Required Skills & Experience
  • 6+ years building and maintaining production-grade data platforms
  • Strong experience with SQL and Python in analytics and data engineering contexts
  • Hands-on expertise with Snowflake, DBT, and modern data tooling
  • Experience designing batch and streaming data pipelines
  • Deep understanding of data modeling, warehousing, and performance optimization
  • Ability to communicate technical concepts to non-technical stakeholders
Desired Skills & Experience
  • Startup or high-growth company experience
  • Experience supporting ML or personalization use cases
  • Exposure to real-time analytics and event-driven architectures
  • Mentorship or technical leadership experience
What You Will Be Doing
Tech Breakdown
  • 40% Data modeling & warehousing (Snowflake, DBT)
  • 35% Pipeline development (batch + streaming)
  • 15% Analytics enablement & dashboards
  • 10% Architecture & optimization
Daily Responsibilities
  • 70% Hands-on engineering
  • 15% Cross-functional collaboration
  • 15% Technical leadership & mentoring

The Offer
  • Competitive base salary + equity
  • Bonus eligible
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Paid parental leave
  • Stock Options

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

#LI-CD1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10105282
  • Position Id: 879312
  • Posted 1 hour ago
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