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Power Bi Data Engineer Jobs in Rutherford, NJ (NOW HIRING)

Required : • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. • Minimum 5+ years of experience as a Power BI Developer or similar role. • Strong ...

Required : • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. • Minimum 5+ years of experience as a Power BI Developer or similar role. • Strong ...

Identify and implement process improvements and data controls to meet data Integration for the CLM ... Power BI dashboard & reports development and maintenance. * Power BI Service environnement ...

Senior Power BI Developer

New York, NY · On-site

$130K - $150K/yr

Identify and implement process improvements and data controls to meet data Integration for the CLM ... Power BI dashboard & reports development and maintenance. * Power BI Service environnement ...

Identify and implement process improvements and data controls to meet data Integration for the CLM ... Power BI dashboard & reports development and maintenance. * Power BI Service environnement ...

Sr. Power BI Developer NYC/ Connecticut Direct Client 12+ Months Position Responsibilities: * 60 ... data models * 10% Communicate and collaborate with product developers, direct manager and ...

Sr. Power BI Engineer

New York, NY · On-site

$114.30K - $157K/yr

Title: Sr. Power BI Engineer Location: New York City, NY (Need local candidates to NJ/NY) Strong ... Utilize data modelling techniques using Power Query/Power Pivot. * Develop and optimize DAX queries

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Power Bi Data Engineer information

See Rutherford, NJ salary details

$88.2K

$129K

$163.6K

How much do power bi data engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for power bi data engineer in Rutherford, NJ is $128,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $139,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Power BI Data Engineer, and why are they important?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI Data Engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is a Power BI Data Engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

What job categories do people searching Power Bi Data Engineer jobs in Rutherford, NJ look for? The top searched job categories for Power Bi Data Engineer jobs in Rutherford, NJ are:
What cities near Rutherford, NJ are hiring for Power Bi Data Engineer jobs? Cities near Rutherford, NJ with the most Power Bi Data Engineer job openings:
Consultant, Data Analytics & AI (51467)

Consultant, Data Analytics & AI (51467)

Citrin Cooperman

Manhattan, NY

Full-time

Posted 10 days ago


Job description

The Consultant, Data Analytics & AI supports the design and delivery of analytics and AI solutions that help clients make better use of their data. This is an entry-level consulting role suited for candidates with a strong academic foundation and early hands-on exposure to data tools. You will work alongside senior practitioners to contribute to client engagements, build your technical depth, and develop an understanding of how analytics creates business value.

Data Analytics & Solution Development

  • Assist in the design and development of data analytics solutions aligned with client business needs.
  • Support the build-out of ETL/ELT pipelines and data models using Microsoft Fabric and related tools.
  • Write and optimize SQL queries for data transformation, validation, and reporting.
  • Contribute to Power BI report and dashboard development, including data modeling and DAX.
  • Help ensure data accuracy and consistency across client environments.

Microsoft Fabric & Cloud Platforms

  • Develop familiarity with Microsoft Fabric and Power BI as core delivery platforms.
  • Support the configuration and testing of cloud data workflows under senior guidance.
  • Stay current on Microsoft Fabric innovations, AI Copilot features, and emerging data capabilities.

Client Engagement & Communication

  • Participate in client meetings and help track open items and action lists.
  • Assist in translating technical findings into clear documentation and presentation materials.
  • Build relationships with client contacts under the direction of project leads.

Project Delivery & Execution

  • Contribute to project workstreams with a focus on quality, timeliness, and attention to detail.
  • Assist with documentation, training materials, and knowledge transfer artifacts.
  • Proactively flag risks or blockers to project leads.
  • Collaborate with cross-functional teams in a professional services environment.
  • Bachelor's degree in Data Science, Computer Science, Business Analytics, Information Systems, or a related field.

  • 0 to 2 years of experience in data analytics, business intelligence, or a related technical role; internship or academic project experience is considered.

  • Working knowledge of SQL for data querying and manipulation.

  • Exposure to Python for data analysis is a plus.

  • Familiarity with Power BI, Tableau, or similar data visualization tools.

  • Basic understanding of cloud platforms, particularly Microsoft Azure or Microsoft Fabric, is preferred.

  • Strong analytical thinking and problem-solving skills.

  • Clear written and verbal communication with the ability to present ideas concisely.

  • Eagerness to learn in a fast-paced consulting environment with multiple concurrent workstreams.

Preferred Qualifications

  • Master's degree in Data Science, Business Analytics, Computer Science, or a related field is a plus.

  • Microsoft certifications such as PL-300 (Power BI Data Analyst), DP-600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), or DP-900 (Azure Data Fundamentals) are a plus, not a requirement.

  • Exposure to data governance concepts, ETL workflows, or AI-powered analytics through coursework or self-study.

  • Prior internship, co-op, or project experience in a consulting, analytics, or technology environment is a differentiator.