Our client is a dynamic startup revolutionizing the employee benefits market. We're building a comprehensive data platform that maps company and contact information, and we're looking for a talented Data Engineer to help us scale our data infrastructure.

Role Overview:
We're seeking a senior Data Engineer to design, build, and maintain robust data pipelines that will power our market intelligence platform. You'll be responsible for integrating diverse data sources, ensuring data quality, and creating scalable infrastructure that supports our growth.

Core Requirements:
10-20 years of experience in data engineering, preferably from big tech backgrounds
Expert-level Python programming skills
Advanced SQL capabilities
Experience building data pipelines at scale
Proven ability to work with external APIs
Strong understanding of data ingestion and transformation processes
Excellent communication and autonomous working style
US-based candidates only

Technical Skills:
Python
SQL
API integration
AWS fundamentals
Data pipeline design and implementation

Nice to Haves:
Experience with DBT
Background in employee benefits or market intelligence sectors
Exposure to startup environments
Spark or PySpark knowledge
Experience with data quality management
Startup transition experience (moving from large, structured environments)

What We Offer:
Competitive salary
Equity options
Opportunity to work with cutting-edge data technologies
Autonomy and ownership in your work
Dynamic, fast-growing startup environment

Interested candidates should be ready to demonstrate:
Technical prowess through live coding interviews
Ability to design complex data systems
Passion for solving intricate data challenges

Are you ready to transform how we understand market data? Apply now!

Job Type: Full-time

Pay: $200,000.00 - $250,000.00 per year

Benefits: