Data Systems Engineer

Southern Arizona Legal Aid Inc.; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

Agnello & Rogers is seeking a *Data Systems Engineer* to lead the architecture and maintenance of data systems for their organizing and analytics infrastructure. This remote role involves collaborating with engineers to build robust pipelines and applications, and ensuring the reliability of cloud infrastructures, emphasizing automated and user-friendly solutions. Ideal candidates should have strong independence in engineering judgment and a passion for progressive electoral organizing.

Qualifications

• Strong experience in data systems architecture, including project management from ingestion to serving.
• Proficient in cloud services (AWS, GCP) and systems monitoring.
• Experience in automation tools and developing web applications.

Responsibilities

• Lead architecture and implementation of data systems.
• Build and maintain web applications to automate workflows.
• Manage cloud infrastructure and ensure system reliability.

Skills

Data Systems Architecture

Workflow Automation

Cloud Infrastructure

Data Engineering

Flask Development

Python Programming

API Integration

Tools

AWS

GCP

dbt

React

Flask

Node

Prefect

Job description

The Data Systems Engineer will lead the architecture, implementation, and maintenance of complex data systems that power Working Families Party’s and Working Families Power’s organizing, analytics, and automations infrastructure. This role goes beyond traditional ETL responsibilities to encompass the full data stack— including principally data engineering, workflow automation, cloud infrastructure and web applications. The Data Systems Engineer will partner closely with the Engineering Director to design, scope, and build robust, scalable, and secure systems that move, transform, and surface data in ways that meaningfully support campaigns and organizing work nationwide. You’ll work on everything from ingestion (APIs / BigQuery mirrors) → transformation (dbt / Python) → pipeline orchestration (Prefect) → serving (Flask UIs).This is a senior-level position for a systems thinker with strong independent engineering judgment, the ability to own projects end-to-end, and a desire to work at the intersection of technology and progressive electoral organizing.

Location: The position is full-time and remotely based anywhere in the United States.
Schedule: Full Time. Permanent.
Union Affiliation: WFP is a unionized workplace. This is a nonmanagerial role eligible to join WFP's staff bargaining unit after six months of employment. WFP's union employees are represented by the New York Metropolitan Area Joint Board, Workers United union.
Applicants must be currently authorized to work for any employer in the U.S. We are unable to sponsor, or take over sponsorship of, employment visas at this time.

Workflow Automation & Application Development:

• Architect, implement, and manage data projects from start to finish, including ingestion (APIs / BigQuery mirrors), transformation (dbt / Python), orchestration (Prefect), and serving (Flask-based UIs)
• Collaborate with Working Families organizers and the Engineering Director to proactively identify, build, and maintain pipeline, automation, and application needs across our ecosystem of tools to facilitate better organizing (such as syncing texting voter contact data to Airtable, or building a web form for staff to self-serve configureable list pulls).
• Build web-based tools and internal-facing applications (Flask, Node, React) that automate staff workflows and surface actionable insights for campaigns and organizing.
• Collaborate with organizers and analysts to understand operational needs and build tools that surface data or automate workflows in actionable, user-friendly ways.
• Ensure all tooling is intuitive, documented, and aligned with user needs.
  

Cloud Infrastructure & Reliability:

• Oversee aspects of the department’s data infrastructure including CI/CD pipelines, cloud infrastructure (AWS, GCP), and containerized deployments
• Ensure data systems are reliable, monitored, and resilient to failure
• Lead incident response, debugging, and long-term reliability engineering practices.