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Data Bi Engineer Jobs in Secaucus, NJ (NOW HIRING)

Programming skills in Python (and optionally JavaScript and C# ) for data engineering and automation. * Expertise with SSRS , Power BI , and modern data reporting tools. • Additional Skills

Understand access, connections, and security models for data and report access. Guide existing BI developers, oversee and verify delivery, train/upskill existing resources. Understand best practices ...

Position:- BI Data Engineer Remote Working hours: PST, 8:00 AM to 5:00 PM Duties: * Project Leadership: Participate in Agile projects, manage priorities, and ensure timely delivery. * Data ...

... for data analysis, validate results of existing analytics • Work with business users and ... fulfill BI activities • Perform code reviews • Document reporting requests from business ...

Senior BI Data Engineer

Long Island City, NY · On-site

$114K - $155K/yr

Job Summary The Sr. BI Data Engineer will design, develop, and deliver scalable OLTP, Business Intelligence, and Data Warehouse solutions using Microsoft Fabric, SSIS, SQL Server, and related BI ...

Showing results 41-60

Data Bi Engineer information

See Secaucus, NJ salary details

$45.2K

$131.9K

$180.5K

How much do data bi engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for data bi engineer in Secaucus, NJ is $131,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,400.00 and $139,800.00 per year, depending on experience, location, and employer.

What is a Data BI engineer?

Data BI (Business Intelligence) Engineers are professionals who design, build, and maintain systems that transform raw data into meaningful business insights. They develop data pipelines, integrate various data sources, and create reports or dashboards to support decision-making processes. Their work ensures that companies have accurate, timely, and actionable information to drive strategy and operations. Data BI Engineers typically work closely with data analysts, data scientists, and business stakeholders.

What are the key skills and qualifications needed to thrive as a Data BI engineer?

To thrive as a Data BI Engineer, you need strong skills in data modeling, SQL, ETL processes, and a background in computer science or a related field. Familiarity with BI tools such as Power BI, Tableau, or Looker, as well as experience with data warehouses and cloud platforms like AWS or Azure, is typically required. Critical thinking, problem-solving, and effective communication are crucial soft skills for translating data insights into actionable business recommendations. These skills and qualities are essential for building reliable data solutions that empower organizations to make informed, data-driven decisions.

How does a Data BI engineer typically collaborate with business stakeholders and data analysts?

A Data BI Engineer frequently works with business stakeholders and data analysts to understand data requirements, translate business needs into technical specifications, and ensure data solutions align with organizational goals. This role often involves participating in meetings to gather requirements, sharing progress updates, and iterating on dashboards or data pipelines based on feedback. Effective communication is key, as Data BI Engineers must bridge the gap between technical data structures and actionable business insights. Regular collaboration helps ensure that the data solutions provided are both technically sound and valuable for decision-making.

What is the difference between Data Bi Engineer vs Data Analyst?

AspectData Bi EngineerData Analyst
Primary FocusBuilding data pipelines, data warehousing, and integrating data systemsAnalyzing data to generate reports and insights
Skills & ToolsSQL, ETL processes, data modeling, cloud platformsExcel, SQL, visualization tools like Tableau or Power BI
Work EnvironmentData engineering teams, IT departments, cloud environmentsBusiness units, analytics teams, management
CredentialsData engineering certifications, SQL, cloud certificationsData analysis certifications, SQL, visualization skills

While both roles work with data, Data Bi Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right responsibilities and professionals for their data needs.

What are popular job titles related to Data Bi Engineer jobs in Secaucus, NJ?

For Data Bi Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What job categories do people searching Data Bi Engineer jobs in Secaucus, NJ look for?

The top searched job categories for Data Bi Engineer jobs in Secaucus, NJ are:

What cities near Secaucus, NJ are hiring for Data Bi Engineer jobs?

Cities near Secaucus, NJ with the most Data Bi Engineer job openings:

Infographic showing various Data Bi Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,881 per year, or $63.4 per hour.

BI Data Architect

Carnegie Hall

New York, NY • On-site

$140K/yr

Other

Re-posted 2 days ago


Job description

Since 1891, New York's Carnegie Hall has set the international standard for excellence in performance, presenting exceptional concerts by the world's finest artists on its three iconic stages, from orchestral concerts, chamber music, contemporary offerings, and recitals to jazz, world, and popular music. Complementing its performance activities, Carnegie Hall's Weill Music Institute creates extensive music education and social impact programs that annually serve more than 800,000 people worldwide, playing a central role in fulfilling Carnegie Hall's commitment to making great music accessible to as many people as possible.
Department: Business Intelligence
Title of Position: BI Data Architect
Reports to Position: Director, BI & Web Development
SUMMARY OF ROLE
The BI Data Architect is a strategic leadership role responsible for architecting and advancing Carnegie Hall's data ecosystem. This position ensures that data is a trusted, governed asset for decision-making across the organization, driving innovation and empowering business users.
The role oversees the design, deployment, and management of the department's data infrastructure and integrations to support current and future initiatives. It requires exceptional technical expertise, analytical thinking, and experience navigating complex organizational structures, combined with strong communication skills to foster collaboration across stakeholder groups.
PRIMARY RESPONSIBILITIES & DUTIES:
Data Architecture & Governance

  • Design, deploy, and manage the department's data architecture, including data inventories, ingestion, ETL/ELT processes, and warehouse/data lake design.
  • Establish and enforce robust data governance standards for storage, consumption, integration, and management; translate these principles into scalable, functional data models aligned with organizational objectives.
  • Implement systems and monitoring to ensure data quality, accuracy, performance, and security.
  • Develop data governance schema, documentation and policies that meet business standards.

• Analytics & Visualization
    • Champion the use of Microsoft Fabric and Power BI for unified analytics, reporting, and self-service BI.
    • Focus on designing, building, and managing data pipelines and lakehouses using Microsoft Fabric's tools (Pipelines, Dataflows, Notebooks) to move data through Bronze (raw ingestion), Silver (cleaned/enriched), and Gold (curated for BI/analytics) layers.
    • Collaborate with analysts to translate data architecture into end-user dashboards and provide technical oversight to ensure adherence to governance standards.

• Integration & API Management
    • Manage API governance to deliver reliable integrations.
    • Drive adoption of API-first architecture to support scalability and modernization.

• Strategic Leadership
    • Contribute to the roadmap for architecture changes and future initiatives, aligning with organizational goals.
    • Evaluate existing data and analytics stack for best practices, security, and performance; recommend improvements.
    • Provide mentorship and technical leadership to staff on data architecture, integration, and pipelines.

• Innovation & Continuous Improvement
    • Explore emerging tools and technologies to enhance data visualization, integration, and analytics capabilities.
    • Support reactive stakeholder incidents and ensure timely resolution.
    • Promote self-service enablement for business users.
    • Knowledge and curiosity around AI enablement, including an understanding of how data architecture, governance, and data quality directly support machine learning and generative AI use cases

REQUIREMENTS & QUALIFICATIONS:
• Education & Experience
    • Bachelor's degree or equivalent work experience.
    • 5-10 years of experience in data architecture

• Technical Expertise
    • Experience with Azure Data Factory, Azure Data Lake Storage, and Azure Storage Explorer for orchestration and data management.

    • Knowledge of Azure API Management for API lifecycle governance, security, and versioning during migrations.
    • Expertise in Power BI for enterprise reporting and integration with governed data models.
    • Expertise with Microsoft Fabric for unified analytics and orchestration of data pipelines.
    • Advanced knowledge of T-SQL and Azure
    • Programming skills in Python (and optionally JavaScript and C#) for data engineering and automation.
    • Expertise with SSRS, Power BI, and modern data reporting tools.

• Additional Skills
    • Strong understanding of data governance, security, and compliance frameworks.
    • Excellent communication and stakeholder engagement skills.
    • Ability to mentor technical teams while driving strategic initiatives.

This is not a remote position. The role requires an in-office start, with eligibility for a hybrid schedule at the manager's discretion after the first three months.
To apply please submit a COVER LETTER with your resume.
Carnegie Hall is an equal opportunity employer, committed to diversity and inclusion in the workplace. Decisions concerning employment are made on the basis of an individual's qualifications to contribute to meeting Carnegie Hall's needs, and Carnegie Hall is committed not to discriminate against individuals on the basis of race, color, national origin, citizenship, religion, sex (including gender identity, gender expression or status of being transgender), sexual orientation, marital status, familial status, status as a caregiver, status as a victim of domestic violence or sex offenses or stalking, criminal convictions (except where otherwise permitted by law), arrest record, credit history, pregnancy, age, mental or physical disability, veteran or military status, reproductive health decisions, or any other characteristic protected by law.