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Overnight Microsoft Data Engineer Jobs in Rutherford, NJ

Principal Data Engineer

New York, NY · On-site

$125K - $226K/yr

Job Overview We're looking for a Principal Data Engineer who brings strong technical judgment, a ... Microsoft Certified Solutions Associate (MCSA) (Required) * At least 18 years of age * Legally ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

Cloud Data Engineer

Newark, NJ · On-site

$119K - $143K/yr

... data engineering role supporting an on-prem Data Lake; experience within institutional asset ... of Microsoft suite of tools is desired (Power BI, Synapse suite of analytics tools, Azure Data ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

... Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Sr. Big Data Engineer

Weehawken, NJ · On-site

$60.50 - $80.25/hr

... Microsoft Azure. The Role Responsibilities: * Develop, optimize, and maintain big data pipelines ... Programming expertise in Scala, Java, or Python for complex production systems. * Extensive Python ...

Lead Data Engineer - Data Engineering 4C

New York, NY · On-site

$125K - $150K/yr

... Microsoft Certified: Azure Data Engineer Associate - MicrosoftMicrosoft, Oracle Database 12c Certified Implementation Specialist - OracleOracle Required Skills Agile Methodology, Banking Capital ...

Senior Fabric Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Remote Job Summary We are seeking a Senior Fabric Data Engineer with strong hands-on Microsoft Fabric experience to support migration and modernization of learning-platform data from Saba and Cura ...

New

Senior Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy ... At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred ...

... Microsoft Azure Databricks for data engineering - Developing data architecture and data modeling strategies - Implementing Snowflake Data Warehouse and Snowflake Schema solutions - Excelling in ...

Showing results 41-60

Overnight Microsoft Data Engineer information

See Rutherford, NJ salary details

$45.4K

$132.2K

$180.9K

How much do overnight microsoft data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for overnight microsoft data engineer in Rutherford, NJ is $132,237.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,700.00 and $140,200.00 per year, depending on experience, location, and employer.

What is an overnight Microsoft data engineer?

Overnight Microsoft Data Engineers are IT professionals who specialize in developing, managing, and optimizing data solutions using Microsoft technologies during overnight shifts. They work with platforms such as Azure, SQL Server, and Power BI to ensure data pipelines, databases, and analytics systems are running smoothly, often performing maintenance or troubleshooting outside of standard business hours. Their responsibilities may include monitoring data flows, resolving technical issues, and supporting business intelligence needs to ensure data availability and reliability for the next business day.

What are the key skills and qualifications needed to thrive as an overnight Microsoft data engineer?

To thrive as an Overnight Microsoft Data Engineer, you need strong skills in data modeling, ETL processes, and expertise with Microsoft SQL Server and Azure data services, typically supported by a degree in computer science or a related field. Proficiency in tools like Azure Data Factory, SQL Server Integration Services (SSIS), and relevant Microsoft certifications such as Azure Data Engineer Associate are commonly required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for quickly resolving issues and collaborating with remote or global teams during overnight shifts. These skills ensure data pipelines remain reliable, secure, and efficient, supporting continuous business operations across time zones.

What are some typical challenges faced by overnight Microsoft data engineers, and how can they be managed effectively?

Overnight Microsoft Data Engineers often encounter challenges such as maintaining system uptime during off-peak hours, managing data pipeline failures, and ensuring data integrity without immediate access to full team support. Effective communication with day teams, thorough documentation, and leveraging automated monitoring tools are essential strategies for overcoming these challenges. Additionally, being proactive in identifying potential issues and collaborating with cross-functional teams during handover meetings helps ensure smooth operations and consistent data quality.

What job categories do people searching Overnight Microsoft Data Engineer jobs in Rutherford, NJ look for?

The top searched job categories for Overnight Microsoft Data Engineer jobs in Rutherford, NJ are:

Infographic showing various Overnight Microsoft Data Engineer job openings in Rutherford, NJ as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $132,237 per year, or $63.6 per hour.

Data Engineer and Agentic AI Lead

Garan, Incorporated

Manhattan, NY • On-site

$150K/yr

Full-time

Re-posted 15 days ago


Job description

Overview
We are seeking a Microsoft Fabric Data Engineer with Agentic AI experience to design, build, and maintain scalable data solutions within the Microsoft Fabric ecosystem. This role is responsible for developing robust data pipelines, implementing Medallion architecture (Bronze, Silver, Gold layers), and ensuring high-quality, analytics-ready datasets.
The ideal candidate will have hands-on experience with Microsoft Fabric components (Data Factory, OneLake, Lakehouse, Warehouse, and Power BI), strong data engineering fundamentals, and the ability to support advanced analytics and AI initiatives.
Key Responsibilities
  • Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (Data Factory, Pipelines, Notebooks)
  • Implement and manage Medallion architecture (Bronze, Silver, Gold layers) to ensure data quality, governance, and usability
  • Ingest, transform, and integrate data from multiple structured and unstructured sources
  • Optimize data workflows for performance, scalability, and cost efficiency
  • Build and maintain Lakehouse and Data Warehouse solutions within Fabric
  • Ensure data reliability through monitoring, logging, and error-handling mechanisms
  • Collaborate with stakeholders to translate business requirements into scalable data solutions
  • Enforce data governance, security, and compliance best practices
  • Document data models, pipelines, and system architecture
  • Contribute to roadmap planning and platform evolution

Database & Power BI Oversight
  • Design enterprise-grade data models optimized for Power BI and analytics workloads
  • Oversee creation and management of semantic models and datasets within Fabric
  • Oversee dataset performance, refresh strategies, and capacity management in Power BI
  • Implement data modeling best practices (star schema, normalization where appropriate)
  • Support development of dashboards and reports by providing curated, high-quality datasets
  • Manage access control, row-level security (RLS), and data lineage visibility
  • Manage Power BI capacity, dataset refresh strategies, and scalability considerations
  • Collaborate with BI developers to optimize DAX performance and reporting efficiency
  • Monitor usage and adoption metrics to improve data accessibility and usability

AI Readiness & Advanced Analytics
  • Prepare and structure data to support AI/ML use cases within Microsoft Fabric and Azure ecosystem
  • Enable feature engineering by delivering clean, enriched, and well-governed datasets
  • Support integration with AI tools such as Azure Machine Learning, Fabric Data Science, and Copilot experiences
  • Implement data pipelines that support real-time or near real-time analytics where needed.
  • Ensure datasets are scalable and aligned with AI model training requirements.
  • Promote best practices for data versioning, reproducibility, and experimentation.

Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field.
  • 7+ years of experience in data engineering or related roles.
  • Hands-on experience with Microsoft Fabric or closely related tools (Azure Synapse, Azure Data Factory, Power BI).
  • Strong expertise in Medallion architecture and modern data lake/lakehouse patterns.
  • Proven experience building and maintaining data pipelines (ETL/ELT).
  • Proficiency in SQL, Python, and/or Spark.
  • Experience with Lakehouse architectures and distributed data processing.
  • Strong understanding of data modeling and data warehousing concepts.

Desired Skills & Competencies
  • Experience with OneLake, Delta Lake, and Fabric-native workloads.
  • Experience with Data Agents, Copilot Studio and Microsoft Foundry
  • Familiarity with CI/CD pipelines for data solutions.
  • Power BI adoption and user satisfaction across business units.
  • Delivery of AI-ready datasets and agentic AI pilot outcomes
  • Security compliance and incident prevention

Key Competencies
  • Strong problem-solving and analytical thinking
  • Attention to detail and data quality focus
  • Ability to work cross-functionally with technical and business teams
  • Excellent communication and documentation skills
  • Continuous learning mindset in evolving data and AI technologies

Performance Metrics
  • Data integrity and availability across all departments
  • System uptime and query performance
  • Power BI adoption and user satisfaction across business units
  • Reduction in time-to-action based on data insights
  • Successful onboarding and reliability of third-party integrations
  • Delivery of AI-ready datasets and agentic AI pilot outcomes
  • Security compliance and incident prevention
  • Adoption of best practices as informed by industry trends

This role is essential for Garan Apparel's enterprise data transformation, integrating Azure and Microsoft Fabric with best practices in data, security, AI readiness, and team collaboration-while ensuring that every user, from executive to analyst, can understand, trust, and act on data with confidence.
Salary: $150,000