Senior Data Engineer II

External

Actblue · Worldwide

Full-timeRemote1d ago

AccessibilityAWSCI/CDData ModelingDatadogdbt

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About the role

ActBlue is a nonprofit organization dedicated to creating cutting-edge technology that fuels Democratic victories and enables progressive causes to thrive. Our vision is simple: building change through the power of people. Since our founding, we've been building innovative solutions to revolutionize grassroots fundraising - if you've donated to a Democratic campaign or a progressive organization online, you've probably used our platform! We believe in putting power in the hands of small-dollar donors by helping thousands of groups - from local candidates to national movements - mobilize their communities and create a lasting impact. Every member of our team is deeply committed to advancing our shared mission and core values. Together, we are shaping the future of democracy. 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.

Responsibilities

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.

WHAT YOU BRING

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).

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