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Data Engineer

Job in New York, New York County, New York, 10261, USA
Listing for: sus.com
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Security, Data Science Manager
Job Description & How to Apply Below
Location: New York

Min

USD $/Yr.

Max

USD $/Yr.

Position Overview

S:

US is seeking a Data Engineer for their Information Technology (IT) division.

This position is located at 7th Avenue New York, NY 10018

SCOPE OF ROLE

The Data Engineer is responsible for building and maintaining a governed, analytics-ready data environment within Microsoft Fabric. This role designs and supports modern data pipelines that ingest, transform, and migrate data for enterprise analytics while ensuring high standards of data quality, metadata management, lineage, and cataloging. The Data Engineer plays a key role in establishing trust in data through strong governance practices and clear documentation.

In addition, the role focuses on analytics and BI enablement, including the development and optimization of semantic models and close collaboration with BI teams to support Power BI reporting and self-service analytics. The ideal candidate brings strong SQL and data modeling skills, hands-on experience with Microsoft Fabric and related cloud data platforms, and the ability to work cross-functionally with technical and business stakeholders to deliver reliable, well-governed data solutions that support the organization’s analytics strategy.

ESSENTIAL

DUTIES & RESPONSIBILITIES
  • Support and uphold the organization’s data governance framework, ensuring compliance with enterprise standards.
  • Collect, organize, and manage metadata for enterprise datasets to support analytics, governance, and Microsoft Fabric migration initiatives.
  • Design and implement data pipelines that enable data ingestion, transformation, and migration into Microsoft Fabric.
  • Build, maintain, and optimize semantic models for analytics, reporting, and self-service BI.
  • Collaborate with BI teams to support Power BI report development, including dataset optimization and performance tuning.
  • Ensure data quality, lineage, and cataloging practices are consistently implemented and maintained.
  • Contribute to documentation, standards, and governance processes that support data literacy and platform sustainability.
  • Work cross-functionally with analytics, governance, business owners, and application teams to deliver high-quality, governed data solutions.
Benefits Overview

We offer attractive compensation with comprehensive benefits including Medical/Dental/Prescription/Vision/Life Insurance; 403(b);
Credit Union; FSAs;
Short-and-Long-Term Disability;
Transportation Plan;
Generous Paid Vacations and Holidays.

Qualifications

REQUIREMENTS

REQUIRED QUALIFICATIONS

  • Bachelor’s degree in Information Systems, Computer Science, or 5+ years of equivalent experience.
  • Proficiency in SQL, Python, or other scripting languages for data engineering tasks.
  • Proven experience with metadata collection and management.
  • Experience building scalable ETL/ELT data pipelines.
  • Hands-on experience developing semantic models for analytics and reporting.
  • Experience supporting Power BI report development and optimization.
  • Strong understanding of Microsoft Fabric architecture and components.
  • Familiarity with data governance principles including quality, lineage, and stewardship.
  • Hands-on experience with data modeling (star and snowflake schemas).
  • Ability to collaborate effectively across technical and business teams.
Preferred Qualifications
  • Experience with Microsoft Purview for metadata management and governance workflows.
  • Knowledge of data security, compliance, and privacy standards.
  • Experience with Fabric Data Factory, Azure Databricks, Synapse Analytics, or similar tools.
  • Understanding of Azure Data Lake Storage and cloud-based analytics platforms.
  • Experience contributing to data governance documentation or data literacy initiatives
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Attention to detail with a focus on data quality and consistency.
Company Overview

S:

US IS AN EQUAL OPPORTUNITY EMPLOYER

Join a team of employees who cares about the wellbeing of others. We’re proud to offer a comprehensive benefits package designed to support your wellbeing and development. From health and wellness resources to generous PTO, professional…

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