Senior Data Engineer II

Role Description

We’re looking for a Senior Data Engineer II to join ActBlue’s Data Department and contribute to building and evolving the data products that power our platform.

As part of the Data Platform Team, you'll help integrate our internal data platform with user-facing applications and infrastructure. You’ll work across the data lifecycle—from ingestion and modeling to deploying machine learning pipelines—focused on unlocking insights, personalization, and automation that support political campaigns, organizations, and donors.

This is a hands-on role for someone who thrives in a collaborative environment and brings deep Python engineering expertise along with a pragmatic, product-minded approach to data systems.

What You Will Do

• Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data access and insight across product teams, engineering, and entities.
• Develop reusable data services and frameworks that support high-quality data ingestion, transformation, and ML model deployment — accelerating analytics and experimentation across the organization.
• Own and operate pipelines and services in production and optimizing for reliability and performance.
• Collaborate with data scientists and ML engineers to productionize machine learning workflows and models using Databricks, Vertex AI, and other ML and MLOps tools.
• Implement monitoring, testing, and CI/CD automation for data pipelines and ML infrastructure and services.
• Own and evolve real-time and batch data integrations between ActBlue’s core systems and user-facing applications — influencing design decisions and architecture across multiple teams including Product, Engineering, and Analytics.
• Develop, optimize and support reverse ETL workflows using tools like Hightouch and ELT workflows using dbt.
• Participate in code reviews, mentor junior engineers, and help foster a high-trust engineering culture.
• Demonstrate technical leadership through writing documentation, establishing effective monitoring, and fostering clear and audience-oriented communication.
• Collaborate closely cross-functionally with product, design, marketing, software engineering and other functions on understanding, designing, and building technical solutions that deliver customer value.

Qualifications

• 5+ years of relevant professional experience in data engineering or backend development with a strong focus on Python.
• Expertise in writing clean, modular, tested, and production-ready Python code.
• Strong understanding of data architecture, distributed systems, and security best practices.
• Experience deploying and supporting production ML workflows, models (e.g., Databricks, Vertex AI, TensorFlow or equivalent), and MLOps.
• Experience with ELT tools such as Fivetran and data modeling frameworks like DBT.
• Solid command of SQL and experience working with large analytical databases (e.g., Redshift, Databricks, Postgres).
• Experience with monitoring and observability using Datadog or similar tools and optimizing production systems.
• A team player mentality. You keep the end user in mind and enjoy hearing feedback from your teammates, yet know when and how to defend your own ideas in a respectful manner.
• Experience and enthusiasm collaborating cross-functionally with product, design, marketing, software engineering, and other functions on requirements, designing, and building technical solutions.
• Experience building cloud native data, analytics, and ML infrastructure and production systems using AWS.
• Commitment to ActBlue’s mission and values, including equity, accessibility, and civic engagement.

Bonus Points

• Experience with real-time data systems or streaming platforms.
• Experience migrating from Redshift to Databricks (ActBlue is currently migrating).
• Regular usage of AI/LLM agentic tools such as Claude Code and OpenAI Codex.
• Experience working in regulated environments such as finance, healthcare, government.
• Experience contributing to internal platforms or tooling used across engineering teams.
• Experience implementing robust testing frameworks for data workflows (e.g., Pytest, dbt tests).

Benefits

• Flexible work schedules and an unlimited time-off policy.
• Fully paid and trans-inclusive health, dental, and vision insurance for employees and their families; plus fully-paid health reimbursement arrangement to use for out of pocket expenses and fully-paid short- and long-term disability.
• Fully paid basic and AD&D life insurance and a voluntary supplemental life insurance option.
• Dependent and health care flexible spending account options.
• Employee Assistance Program (EAP) benefits for employees.
• Automatic 2% Employer-paid 401K contribution, plus up to an additional 6% match on employee contributions.
• A minimum of three months paid medical, family and parental leave (for all new parents, adoptions included).
• Commuter or home-office benefits, including a $1,000 home-office setup allowance for all new full-time remote employees.
• Additional perks including quarterly snack deliveries and digital subscriptions to the Boston Globe & New York Times.