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Business Intelligence Data Engineer Jobs in Massachusetts

Leader Bank

Business Intelligence Engineer

Arlington, MA

$57.75 - $75/hr

Summary At Leader Bank, we recognize that data is an opportunity to create better experiences ... experience in Business Intelligence, Data Engineering, Analytics Engineering, or related ...

Leader Bank

Business Intelligence Engineer

Arlington, MA · On-site

$85K - $110K/yr

Summary At Leader Bank, we recognize that data is an opportunity to create better experiences ... experience in Business Intelligence, Data Engineering, Analytics Engineering, or related ...

SPS North America

Director, BI

Boston, MA · On-site

$80/hr

Lead, mentor, and develop a team of Business Intelligence professionals, data engineers, and analysts. * Design and deliver end-to-end analytics solutions utilizing Power BI, Microsoft Fabric, Azure ...

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Business Intelligence Data Engineer information

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$86

How much do business intelligence data engineer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for business intelligence data engineer in Massachusetts is $62.30, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $69.57 per hour, depending on experience, location, and employer.

What is a business intelligence data engineer?

A Business Intelligence (BI) Data Engineer is a professional responsible for designing, building, and maintaining the infrastructure and processes that allow organizations to collect, store, and analyze data for business decision-making. They work closely with data analysts, data scientists, and business stakeholders to ensure data is accessible, reliable, and optimized for reporting and analytics. Typical tasks include developing data pipelines, integrating data from various sources, and ensuring data quality and security. Their work enables organizations to transform raw data into actionable insights that help drive business growth.

What are the key skills and qualifications needed to thrive as a business intelligence data engineer?

To thrive as a Business Intelligence Data Engineer, you need strong skills in data modeling, ETL development, SQL, and a background in computer science or a related field. Proficiency with BI tools (e.g., Tableau, Power BI), data warehousing platforms (like Snowflake or Redshift), and certifications such as Microsoft Certified: Data Analyst Associate are highly valuable. Analytical thinking, problem-solving, and effective communication are important soft skills for translating business requirements into actionable insights. These competencies ensure reliable data infrastructure, accurate reporting, and successful collaboration with stakeholders to drive informed business decisions.

How do business intelligence data engineers typically collaborate with analysts and business stakeholders?

Business Intelligence Data Engineers frequently work alongside data analysts and business stakeholders to ensure data pipelines and reporting tools meet organizational needs. They translate business requirements into technical specifications, build or optimize data models, and provide clean, reliable datasets for analysis. Regular communication and feedback loops are essential, as data engineers must adapt solutions to evolving business questions and ensure data integrity throughout the process. This collaborative approach helps deliver actionable insights and supports data-driven decision-making across teams.

What is the difference between Business Intelligence Data Engineer vs Data Analyst?

AspectBusiness Intelligence Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines and infrastructure for BI systemsAnalyzing data to generate reports and insights
Skills & CertificationsSQL, ETL tools, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, BI platforms, cloud environmentsBusiness units, reporting tools, dashboards
Industry UsageOrganizations with large data infrastructure needsOrganizations focusing on data-driven decision making

While both roles work with data, Business Intelligence Data Engineers focus on creating and managing the data infrastructure that enables BI reporting, whereas Data Analysts interpret data to provide actionable insights. Understanding these differences helps organizations assign the right roles for their data needs.

Business Intelligence Data Engineer jobs near you
Infographic showing various Business Intelligence Data Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 79% Full Time, 16% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $129,591 per year, or $62.3 per hour.

Business Intelligence Engineer - RDPI Procurement

Reading, MA • On-site

Intelliswift Software
IT Services • 1 - 5K employees
Learn more about Intelliswift Softwareexternal

$50/hr

Full-time

Re-posted 16 days ago

Job description

Job ID: 26-01741 Pay rate range - $50/hr. to $53/hr.
Onsite
Description:
Top 3 Must Have
1. Business Intelligence Engineer • RDPI Procurement
2. Good SQL knowledge
3. Python or C++ or another language
Years of experience -
• 2+ years of experience in business intelligence, data engineering, or analytics
• Proficiency in SQL and at least one scripting language (Python preferred)
• Experience building dashboards and visualizations using BI tools (QuickSight, Tableau, or similar)
• Familiarity with ETL processes and data pipeline development
• Strong analytical and problem-solving skills with attention to detail
• Ability to translate business requirements into technical solutions
Task Breakdown
• Reporting & Dashboards:
Design, build, and maintain dashboards and reports in Amazon QuickSight (or equivalent BI tools) to track key procurement metrics including on-time delivery, blank promise dates past SLA, PO placement, aged intransit shipments, and vendor performance across 200+ suppliers
• Data Pipeline Development:
Develop and maintain ETL pipelines and data models to consolidate procurement data from multiple sources (Oracle EBS, internal systems, vendor portals) into reliable, queryable datasets
• Metric Automation:
Automate recurring reporting processes such as JIRA ticket aging for receiving issues, weekly PO line tracking, and supplier scorecards to reduce manual effort for the buyer team
• Ad Hoc Analysis:
Conduct deep-dive analyses to support procurement decision-making, including spend analysis, supplier risk assessment, lead time trends, and portfolio-level performance reviews
• Stakeholder Partnership:
Collaborate with L4/L5 buyers, and procurement leadership to understand business requirements, translate them into technical solutions, and iterate based on feedback
• Data Quality:
Monitor and improve data quality across procurement datasets, identifying and resolving discrepancies in PO data, delivery metrics, and vendor master data
• Process Improvement:
Identify opportunities to streamline procurement operations through data automation
• Self-Service Enablement:
Build self-service tools and documentation that empower buyers and managers to independently access and interpret procurement data
Background needs to be -
• Experience supporting procurement, supply chain, or operations teams
• Familiarity with Amazon internal tools and systems (QuickSight, Redshift, S3, Oracle EBS)
• Experience with large-scale datasets and complex data modeling
• Knowledge of procurement metrics such as on-time delivery, PO lifecycle management, and vendor performance tracking
• Experience working in a fast-paced environment with multiple stakeholders
• Strong communication skills with the ability to present data insights to non-technical audiences
About Project
We are seeking a Business Intelligence Engineer (BIE) to support the Procurement team within Robotics Supply Chain organization.
This contractor role will be instrumental in building and maintaining data-driven solutions that enable our procurement buyers to manage a complex supply chain.
The ideal candidate will partner closely with procurement leadership and buyers to develop scalable reporting, automate data workflows, and deliver actionable insights that drive operational excellence across vendor management, on-time delivery, and procurement operations
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About Intelliswift

Sourced by ZipRecruiter

Intelliswift is consumed with the love for the new. Once a leading staffing company, Intelliswift now possesses the expertise to build data-rich modern platforms, and to create sophisticated systems for data management and analytics for thinking and connected enterprises. We are a global leader in delivering Digital Product Engineering, Data Management & Analytics, Cloud, Digital Enterprise and MSP/VMS staffing solutions. Led by a team of highly passionate and techno-centric innovators, we consciously embed the spirit of loving and embracing everything new in what we do. We ardently believe that companies that Love the New are at an advantage of being ahead of the curve in this age of digital.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Newark, CA, US

Year founded

2001

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