Senior Data Engineer

About Us

Our client is a dynamic profitable startup revolutionizing the employee benefits market.

We are building a comprehensive data platform that maps company and contact

information, and we’re looking for a Senior Data Engineer to help us scale our

infrastructure and power our market intelligence platform.

Role Overview

As a Data Engineer, you will design, build, and maintain scalable data pipelines that

integrate diverse sources and ensure data quality. Your daily tasks include structuring

code and data flows, developing SQL workflows for data cleaning, deduplication, and

entity resolution, and working with relational and graph data to map connections. You

will analyze and resolve data quality issues, merge external and internal datasets, and

automate processes using Python. Typically, about 5% of your time will be spent pulling

data, 60-70% integrating external data with internal systems, and 30% coding. This role

requires technical expertise, a startup mindset, and ownership of strategic data

infrastructure to support rapid company growth.

Core Requirements

● 10–20 years of experience in data engineering (preferably within big tech)

● Expert-level Python programming skills

● Advanced SQL capabilities

● Proven experience building and scaling data pipelines

● Strong knowledge of API integration

● Deep understanding of data ingestion and transformation processes

● Excellent communication skills and ability to work autonomously

● Must be US-based

Technical Skills

● Python (5+ years) - python to source data

● SQL (5+ years) - building data pipelines with sql & structuring data for the

front-ends

● API Integration - sourcing data, pulling data from external sources, integrating

into snowflake, snowflake will use DBT to run SQL & Python to structure data

● AWS Fundamentals - step functions to orchestrate & run data pipeline

cloudwatch for monitoring, s3 for storing data

● Data Pipeline Design & Implementation

Nice to Haves

● Experience with DBT

● Background in employee benefits or market intelligence

● Startup environment experience

● Knowledge of Spark/PySpark

● Experience in data quality management

● Ability to transition from structured corporate environments to startups

What We Offer

● Competitive salary

● Equity options

● Opportunity to work with cutting-edge data technologies

● High degree of autonomy and ownership in your work

● A dynamic, fast-growing startup culture

What We Value

● Ability to demonstrate technical prowess through live coding interviews

● Strong system design capabilities

● Passion for solving complex data challenges

Team & Culture:

● Report to Head of Data, work with Principal Data Engineer

● Small, focused data team

● Entrepreneurial mindset and comfort with autonomous work

● Ownership of end-to-end projects, no micromanagement, startup culture with

corporate stability

Job Type: Full-time

Pay: $150,000.00 - $200,000.00 per year

Experience:

• Software development: 10 years (Required)

Work Location: In person