Data Engineer

Regard • New York, NY

5d • Hybrid

About The Position

As a Data Engineer at Regard, you will help build and maintain the data pipelines and infrastructure that turn raw data into the metrics and insights that drive our product decisions and research. We run an engineering-first stack that prioritizes transparent, code-driven systems over black-box services, and you will contribute to the continued growth and reliability of our data platform. Working closely with Engineering and Product teams, you'll develop and improve data pipelines, support analytics and machine learning initiatives, and help ensure the quality and availability of critical datasets. You'll have the opportunity to work across the full data stack while growing your expertise in distributed data processing, data modeling, and platform operations.

Requirements

• BS in Computer Science, Mathematics, Statistics, a related field, or equivalent practical experience
• 3+ years of experience in data engineering role
• Experience building and maintaining data pipelines and data models in a production environment
• Proficiency in Python and SQL
• Experience working with distributed data processing frameworks such as PySpark
• Experience with cloud-based data platforms and services (AWS preferred)
• Practical experience with LLM-assisted development, with an understanding of its capabilities and limitations
• Willingness to participate in on-call operational support for owned systems

Nice To Haves

• Experience with one or more of the following technologies: Apache Iceberg, AWS Athena, Dagster, Clickhouse, PostgreSQL, FastAPI, or Metabase
• Experience supporting data quality, monitoring, and observability initiatives
• Familiarity with healthcare data, including HIPAA compliance, de-identification, or healthcare data standards such as OMOP CDM
• Experience building or supporting data pipelines used for machine learning training, evaluation, or production workflows
• Experience working with cross-functional teams in a fast-paced startup environment

Responsibilities

• Build and maintain data pipelines that support analytics, machine learning development, and research initiatives
• Develop and improve data models and transformations that reliably deliver data to downstream consumers
• Partner with engineering teams to identify and resolve data quality issues, helping ensure datasets are accurate and trustworthy
• Support the operation, monitoring, and maintenance of the data platform and its pipelines
• Collaborate with Product, Engineering, and Research teams to deliver data and insights that inform business and product decisions
• Investigate pipeline failures, data inconsistencies, and upstream changes, contributing to timely resolution and continuous improvement
• Help optimize data processing workloads and storage patterns to improve performance, scalability, and cost efficiency

Benefits

• Eligible for equity
• 99% employer paid health benefits (Medical, Dental, and Vision) + One Medical subscription
• 18 PTO days/yr + 1 week holiday break
• Monthly health & wellness budget
• Company-sponsored team retreat + social events
• A sabbatical program
• Relocation assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level