Senior Data Engineer

Murmuration is an organization dedicated to enhancing civic engagement and community power through data-driven insights. The Senior Data Engineer will build and maintain data pipelines and infrastructure, transforming complex datasets into usable products while collaborating with cross-functional teams to drive impactful solutions.

Responsibilities:

• 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

Requirements:

• 6+ years of relevant experience in data engineering or a related field
• Deep experience designing and operating data pipelines and orchestration frameworks (e.g., Dagster, Airflow)
• Strong understanding of ELT/analytics engineering patterns (e.g., dbt, dimensional modeling, data contracts)
• Hands-on experience with cloud data platforms (e.g., Snowflake) and cloud infrastructure (e.g., AWS)
• Proficiency in Python, containerization (Docker), and modern deployment patterns
• Experience working in lean, cross-functional teams and operating in environments with evolving requirements
• Strong written and verbal communication skills with the ability to explain technical concepts to non-technical partners
• Familiarity with Voter File Data
• Experience with or interest in political data
• Background in political tech, civic tech, advocacy, or mission-driven organizations
• Experience within an engineering team providing technical support to other data functions (e.g., Data Scientists, Data Managers, etc.)
• Experience applying AI/ML techniques to voter or political data