UJA-Federation of New York is the world’s largest local philanthropy. We focus on caring for people in need and inspiring the Jewish future. The Data Engineering team at UJA-Federation of New York is seeking an experienced Data Engineer to join us. The ideal candidate will bring strong expertise in Python development for data-intensive applications, including hands-on proficiency with SQL and PySpark. This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives. Key Responsibilities • Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python. • Implement best practices for data architecture, modeling, and processing at scale. • Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing. • Ensure compliance with data governance, quality, and security standards. • Mentor junior engineers and contribute to the growth of engineering best practices. • Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions. Qualifications • 5+ years of professional experience in data engineering or related roles. • Strong proficiency in Python, with proven experience in data-focused libraries (e.g., PySpark, Pandas). • Hands-on experience designing and consuming RESTful APIs or GraphQL endpoints. • Proficiency in SQL and relational databases (e.g., SQL Server, PostgreSQL, MySQL). • Solid experience with data lakes and data warehouses. • Familiarity with cloud environments is a plus, with Azure experience preferred. • Familiarity with Microsoft Fabric (Data Lakehouse, Fabric pipelines, or Fabric Data Warehouses) is a strong plus. • Hands-on experience with Azure DevOps tools: pipelines, repositories, boards, and artifacts. • Strong knowledge of CI/CD pipelines and version control (Git). • Excellent problem-solving, communication, and collaboration skills. Preferred Skills • Exposure to machine learning workflows and MLOps practices. • Experience using donor management systems (Salesforce NPSP in particular). • Knowledge of containerization a plus (Docker/Kubernetes). • Some familiarity with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates is a bonus. Reports To: Director, Technical Architect Salary Range: $110,000 - $130,000, commensurate with experience and qualifications listed above.