Data Engineer

Promise Holdings, Inc.

Job Overview

Location

San Francisco

Job Type

Full-time

Full Job Description

📋 Description

• Own end-to-end data architecture for critical business systems, designing flexible and scalable data models that serve product, engineering, finance, and customer success teams.
• Build and maintain resilient data pipelines from ingestion through transformation, ensuring automated, reliable, and observable data flows across the organization.
• Automate manual data handoffs by partnering with business systems and platform teams to eliminate inefficiencies and enable self-serve analytics.
• Enforce data quality at scale by implementing comprehensive testing, monitoring, and reconciliation systems that make anomalies actionable and datasets trustworthy.
• Design and maintain scalable analytics infrastructure, including semantic layers, APIs, and real-time query systems to empower data-driven decision-making across departments.
• Collaborate directly with product, engineering, and analytics teams to translate ambiguous business requirements into clean, production-grade data solutions.
• Operate and optimize cloud data warehouses such as Snowflake, BigQuery, or Redshift, including schema design, security, permissioning, and data governance.
• Utilize modern data stack tools including dbt for transformation, Airflow for orchestration, and Looker or Metabase for BI to deliver actionable insights.
• Write production-grade code in Python and SQL, integrating with CI/CD pipelines and infrastructure-as-code workflows to ensure reliability and reproducibility.
• Drive the adoption of data governance practices to ensure compliance, auditability, and consistent data definitions across the company.
• Support machine learning and experimentation initiatives by providing high-quality, well-documented datasets and accessible data interfaces.
• Take ownership of both technical design and operational outcomes, proactively identifying and solving data problems before they impact business outcomes.
• Work in a fast-moving, mission-driven environment where agility and initiative are required to deliver impact on public systems serving vulnerable populations.
• Contribute to a culture of clear, candid, and constructive communication while operating with freedom and responsibility.
• Participate in hybrid work model requiring in-office or on-site presence at least four days per week in San Francisco.

🎯 Requirements

• 5+ years of experience as a data or software engineer building data warehouses, pipelines, and distributed data systems
• Deep hands-on expertise with modern data stack tools (dbt, Airflow, Looker, Metabase, etc.)
• Proven experience operating cloud data warehouses (Snowflake, BigQuery, or Redshift) including schema design, security, and governance
• Production-grade proficiency in Python and SQL, with integration into CI/CD and infrastructure-as-code workflows
• Ability to partner across engineering, product, and analytics teams to translate business needs into technical data solutions
• Comfort working in a fast-paced, mission-driven environment with high autonomy and minimal hierarchy

🏖️ Benefits

• 100% paid health coverage
• Generous PTO and sick leave
• Lunch, snacks, and coffee provided
• Company retreats
• Opportunities to travel and see the impact of your work
• Hybrid work model with at least four days per week in-office in San Francisco

Skills & Technologies

Python

Hybrid

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Promise Holdings, Inc.

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About Promise Holdings, Inc.

Promise Holdings provides cloud-based payment technology and financial services for government agencies, utilities, and other large billers. The platform integrates with existing systems to offer flexible payment plans, automated reminders, and mobile-friendly checkout, aiming to reduce delinquencies and improve collection rates. Founded in 2017 and headquartered in San Francisco, the company serves clients such as PG&E, the City of Los Angeles, and Atlanta’s Department of Watershed Management.

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