Data Engineer

Company: Givzey, Inc.
Location: Boston
Posted on: June 1, 2025

Job Description:

Data EngineerWe're looking for a DataEngineer to architect and scale the data backbone that powers our AI-driven donor engagement platform. You'll design and own modern, cloud-native data pipelines and infrastructure that deliver clean, trusted, and timely data to our ML and product teams - fueling innovation that revolutionizes the nonprofit industry.About Givzey:Givzey is a Boston-based, rapidly growing digital fundraising solutions company, built by fundraisers for nonprofit organizations.Join a fast-growing, mission-driven team working across two innovative platforms: Givzey, the first donor commitment management platform revolutionizing nonprofit fundraising, and , a cutting-edge AI platform helping individuals and organizations create their most authentic, effective digital presence. As an engineer at the intersection of philanthropy and artificial intelligence, you'll build scalable, high-impact solutions that empower nonprofit fundraisers and redefine how people tell their stories online. We're a collaborative, agile team that values curiosity, autonomy, and purpose. Whether you're refining AI-driven experiences or architecting tools for the future of giving, your work will help shape meaningful technology that makes a difference.Responsibilities

• Design & build data pipelines (batch and real-time) that ingest, transform, and deliver high-quality data from diverse internal and third-party sources
• Develop and maintain scalable data infrastructure (data lakes, warehouses, and lakehouses) in AWS, ensuring performance, reliability, and cost-efficiency
• Model data for analytics & ML: create well-governed schemas, dimensional models, and feature stores that power dashboards, experimentation, and ML applications
• Implement data quality & observability frameworks: automated testing, lineage tracking, data validation, and alerting
• Collaborate cross-functionally with ML engineers, backend engineers, and product teams to integrate data solutions into production systems
• Automate infrastructure using IaC and CI/CD best practices for repeatable, auditable deployments
• Stay current with emerging data technologies and advocate for continuous improvement across tooling, security, and best practices
  
  Requirements
  • US Citizenship
  • Bachelor's or Master's in Computer Science, Data Engineering, or a related field
  • 2+ years of hands-on experience building and maintaining modern data pipelines using python-based ETL/ELT frameworks
  • Strong Python skills, including deep familiarity with pandas and comfort writing production-grade code for data transformation
  • Fluent in SQL, with a practical understanding of data modeling, query optimization, and warehouse performance trade-offs
  • Experience orchestrating data workflows using modern orchestration frameworks (e.g., Dagster, Airflow, or Prefect)
  • Cloud proficiency (AWS preferred): S3, Glue, Redshift or Snowflake, Lambda, Step Functions, or similar services on other clouds
  • Proven track record of building performant ETL/ELT pipelines from scratch and optimizing them for cost and scalability
  • Experience with distributed computing and containerized environments (Docker, ECS/EKS)
  • Solid data modeling and database design skills across SQL and NoSQL systems
  • Strong communication & collaboration abilities within cross-functional, agile teams
    
    Nice-to-Haves
    • Dagster experience for orchestrating complex, modular data pipelines
    • Pulumi experience for cloud infrastructure-as-code and automated deployments
    • Hands-on with dbt for analytics engineering and transformation-in-warehouse
    • Familiarity with modern data ingestion tools like dlt, Sling, Fivetran, Airbyte, or Stitch
    • Apache Spark experience, especially useful for working with large-scale batch data or bridging into heavier data science workflows
    • Exposure to real-time/event-driven architectures, including Kafka, Kinesis, or similar stream-processing tools
    • AWS data & analytics certifications (e.g., AWS Certified Data Analytics - Specialty)
    • Exposure to serverless data stacks and cost-optimization strategies
    • Knowledge of data privacy and security best practices (GDPR, SOC2, HIPAA, etc.)
      
      What You'll Do Day-to-Day
      • Be part of a world-class team focused on inventing solutions that can transform philanthropy
      • Build & refine data pipelines that feed our Sense (AI) and Go (engagement) layers, ensuring tight feedback loops for continuous learning
      • Own the full stack of data work - from ingestion to transformation to serving - contributing daily to our codebase and infrastructure
      • Partner closely with customers, founders, and teammates to understand data pain points, prototype solutions, iterate rapidly, and deploy to production on regular cycles
      • Help craft a beautiful, intuitive product that delights nonprofits and elevates donor impact
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Keywords: Givzey, Inc., Medford , Data Engineer, Engineering , Boston, Massachusetts