Data Engineer, Data and Insights

UJA-Federation of New York • New York, NY

5d • $110,000 - $130,000

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed