1. Home
2. Careers
3. Senior Data Engineer

Senior Data Engineer

Who We Are

Handle.com is a Y Combinator-backed technology company focused on revolutionizing how money flows through the $2 Trillion U.S. construction industry. We’ve established strong product-market fit, serving some of the largest companies in the industry. Our SaaS solution is essential to daily workflows for our clients, including Fortune 500 and publicly traded companies. With over $30M in funding from top investors, Handle.com is growing rapidly.

Position Overview

We’re seeking a Senior Data Engineer to lead the design and development of a new, high-impact dataset from the ground up. This is a foundational role on a fast-growing team where you’ll own architecture decisions, shape our approach to data modeling, and build pipelines that power the next generation of our platform.

We’re tackling deep data normalization and identity resolution problems across a complex, multi-source domain — and we need someone who thrives on untangling messy data and building clean, scalable systems.

Key Responsibilities:

• Architect and implement a new, large-scale data model to power customer-facing insights.
• Design and build ETL pipelines to ingest, clean, normalize, and enrich messy, real-world data.
• Build systems that can deduplicate entities across partial, conflicting, or inconsistent inputs.
• Evaluate and integrate specific tooling.
• Select and implement appropriate data storage solutions (graph, relational, or hybrid).
• Collaborate with product and engineering leadership to define system requirements and data integrity standards.
• Mentor junior engineers and establish best practices for data quality, documentation, and monitoring.

Required Skills and Qualifications:

• 5+ years of experience in data engineering or backend systems focused on data processing.
• Experience with graph databases (e.g., Neo4j, GraphDb, Cloud Spanner Graph, Amazon Neptune)
• Experience with relational databases (PostgreSQL MySQL, etc.).
• Proven experience architecting data models and designing data pipelines from scratch.
• Strong command of Javascript/Typescript / Node.js and SQL.
• Deep understanding of data normalization, identity resolution, and deduplication techniques.
• Knowledge of record linkage, entity matching, or probabilistic modeling
• Thoughtful approach to data governance, integrity, and scale.
• Clear communicator who thrives in ambiguous, fast-moving environments.

Bonus Qualifications:

• Experience working with geospatial data or address resolution
• Experience in early-stage or high-growth tech environments

Why Join Us:

We’re building something ambitious from the ground up — with a small, smart, and highly collaborative team. You’ll get to shape core architecture, make big technical decisions, and see your work directly impact how our customers interact with our platform.

• Opportunity to work with a dynamic and innovative team.
• Professional growth and development opportunities.
• Collaborative and supportive work environment.
• Company-funded health benefit options (Medical, Dental, Vision, Life Insurance)
• 100% Paid Parental Leave
• Unlimited PTO
• Home office stipend for the equipment you prefer
• And more