Data Engineer: Pipelines & Insights (Python/Azure)

UJA-Federation of New York

New York (NY)

On-site

USD 110,000 - 130,000

Full time

43 hours ago
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Job summary

UJA-Federation of New York's Data Engineering team seeks an experienced Data Engineer to design and implement scalable data pipelines using Python, PySpark, and SQL. The role supports analytics, reporting, and machine learning initiatives across cross-functional partners.

The ideal candidate will build robust ETL/ELT workflows, improve data quality, and collaborate on CI/CD practices with Azure DevOps while ensuring governance and security standards.

Qualifications

  • 5+ years of professional experience in data engineering or related roles.
  • Strong proficiency in Python, with proven experience in data-focused libraries (PySpark, Pandas).
  • Hands-on experience designing and consuming RESTful APIs or GraphQL endpoints.
  • Proficiency in SQL and relational databases (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.

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 to deliver reliable data solutions.

Skills

Python
PySpark
Pandas
RESTful APIs
GraphQL
SQL
CI/CD
Git
Data Lakes
Data Warehouses
Azure Cloud
Fabric Data Lakehouse
Azure DevOps
REST API Design

Tools

Azure DevOps
SQL Server
PostgreSQL
MySQL
Azure
Microsoft Fabric
Docker
Kubernetes
Terraform
Bicep
ARM Templates

Job description

UJA-Federation of New York's Data Engineering team seeks an experienced Data Engineer to design and implement scalable data pipelines using Python, PySpark, and SQL. The role supports analytics, reporting, and machine learning initiatives across cross-functional partners.

The ideal candidate will build robust ETL/ELT workflows, improve data quality, and collaborate on CI/CD practices with Azure DevOps while ensuring governance and security standards.

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