For our client, we are seeking a Data Engineer to join the team of a leader in the Enterprise Technology space.
This role will focus on building and maintaining the data foundations that support reliable analytics, customer-facing datasets, and scalable decision-making across the organization.
You will work closely with Data Science, AI/ML, and other engineering partners to integrate diverse data sources and deliver high-quality computed tables at scale.
The position is well suited for a hands-on engineer who thrives in a fast-moving environment and values data accuracy, platform reliability, and cross-functional collaboration.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $110,500 – $143,000 annually
Responsibilities
- Build and maintain reliable computed tables from various data sources
- Integrate external datasets with internal data
- Ensure high-quality, reliable customer-facing data sets
- Collaborate with Data Science, AI/ML, and other Data Engineers
- Promote the company's cultural principles as the organization scales
Qualifications
- BA/MS in Computer Science, Statistics, or a related field
- 4+ years of experience in a data engineering role
- Experience designing data models at scale
- Proficiency in building ETL pipelines for large data volumes
- Familiarity with Spark-based data platforms
- Strong SQL and Python skills, with REST API experience
- Knowledge of version control systems such as Git/GitHub
Benefits
- Flexible, employee-led remote work model
- Professional development stipend
- Comprehensive health and parental leave plans
- Performance-based bonuses and equity opportunities
- Above-market total compensation for top performers
Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.