Data Systems Engineer

Radiology Partners Gulf Coast; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading organization is seeking a Data Systems Engineer to drive the architecture and maintenance of complex data systems. This senior role emphasizes building robust, scalable, and secure systems that enhance organizing and campaign efforts across the United States. The successful candidate will leverage their expertise in data engineering, automation, and cloud infrastructure to transform and streamline workflows while ensuring reliability and user-friendliness in all tools developed. This is a fully-remote position offering a dynamic environment for those looking to make an impactful contribution.

Qualifications

• Experience in data systems architecture and automation.
• Independent engineering judgment and ability to own projects end-to-end.
• Proficient in technologies such as Flask and AWS.

Responsibilities

• Lead the architecture and management of data projects.
• Collaborate with team members to identify and build data pipelines.
• Ensure reliability and resilience of data systems.

Skills

Data Engineering

Workflow Automation

Cloud Infrastructure

Python

Flask

BigQuery

CI/CD

Incident Response

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.