At Murmuration, we believe that America’s promise is shaped and reshaped by the best ideas and ideals of its communities, and the dreams of the people who believe in a better life for themselves, their families, and each other.  We help organizations build power in their communities in four key ways: we organize a network of values-aligned partners; we provide deep, data-driven insights into people, places, and perspectives; we develop tools that make organizing and engagement easy and more effective; and we offer services that strengthen our partners’ capacity to lead change in their communities. We envision an America where every community has what it needs to help people lead healthy, free, and dignified lives. We work to redesign the systems and structures we all depend on — how we learn, live, govern, and solve problems — so that they are just, equitable, resilient, and rooted in shared responsibility. By strengthening the ties that hold communities together, we aim for civic life defined by collective action and care, with effective leadership that truly represents everyone.  We are a collaborative, curious, and creative team of organizers, scientists, teachers, technologists, campaign veterans, and more who share the unwavering belief that we can use our gifts in service of transforming America — together. We’ve built our team guided by the belief that the whole is greater than the sum of its parts. And so we support each other relentlessly — rallying together to face challenges the same way we celebrate each other’s wins. About the Position You're a mission-driven data engineer with a track record of building infrastructure that delivers real impact. You're deeply curious not just about how systems work but about the messy, real-world data they must support. You've done this before: you understand what "good" looks like, you deliver high quality solutions, and you help the teams around you operate more effectively. At Murmuration, you'll work with voter files from 50 states (each with its own format and quirks), census data, polling results, geographic boundaries, election returns, and more. These data sources arrive at different cadences, anywhere from multiple times a day during early voting to once a year from the census. Your role is to bring order to this complexity by building the pipelines, data contracts, and governance that transform these disparate inputs into Atlas, our unified representation of American civic life. This role is for someone who's energized by complex data problems, comfortable with ambiguity, and motivated by the understanding that strong infrastructure and data foundations is a core part of what makes research, product development, and meaningful civic impact possible. You'll partner closely with data scientists, researchers, and product teams who rely on what you build. You also stay curious about emergent technologies, particularly AI, and apply them thoughtfully to amplify your impact and the effectiveness of the broader team. Job Level P4 What You'll Do - Own data pipelines and infrastructure: Design, implement, and evolve scalable, production-grade systems using tools such as Dagster, Airflow, Snowflake, AWS, MongoDB, and dbt. Apply a cloud-native and DevOps mindset using CI/CD, infrastructure-as-code, monitoring, and automated testing to build reliable systems. Partner with cross-functional teams to deliver solutions that meet both immediate product needs and long-term organizational strategy. - Lead data ingestion and integration: Bring in complex, high-volume datasets while ensuring strong data contracts, freshness, quality, integrity, and lineage, and build systems that empower domain experts to contribute to and maintain their own data pipelines. - Transform raw data into trusted data products: Convert raw inputs into structured, usable datasets  that empower our analytical and product teams. Collaborate closely with operational data managers to ensure data models and intuitive, reliable alignment with how data is consumed in practice. - Leverage AI: Make informed judgement calls about how AI can be a force-multiplier for both your own work and the team’s and how it can’t. - Elevate the team: Mentor engineers, actively shape technical direction through architectural reviews and roadmap planning, and build team culture through documentation and knowledge sharing.