BI Engineer

The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-11-04

Job description

Who We Are

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

Are you passionate about transforming complex data into meaningful business insights? Do you enjoy building scalable data models, developing efficient data transformation pipelines, and delivering enterprise-grade Business Intelligence solutions?
We are looking for a BI Engineer who combines strong analytical thinking with hands-on expertise in Power BI, PySpark, SQL, and Data Modelling. You will work closely with Data Engineers, Product Owners, Architects, and Business Stakeholders to build robust reporting solutions and enable data-driven decision making across the organization.

Key Responsibilities
• Design and develop scalable Power BI dashboards and enterprise reporting solutions.
• Build and maintain reusable semantic data models to support business reporting and self-service analytics.
• Develop complex PySpark transformation logic for cleansing, enriching, aggregating, and preparing large datasets for analytical consumption.
• Design and implement dimensional data models including Fact & Dimension tables, Star Schema, and Snowflake Schema.
• Collaborate with Data Engineering teams to integrate data from multiple enterprise sources into reporting layers.
• Develop optimized SQL queries, views, and stored procedures to support reporting and analytics.
• Perform data validation, reconciliation, and root cause analysis to ensure reporting accuracy and consistency.
• Optimize dashboard performance through efficient DAX measures, query optimization, and model tuning.
• Translate business requirements into technical reporting solutions and analytical models.
• Partner with Product Owners and business stakeholders to define KPIs and reporting standards.
• Promote BI best practices around governance, reusable datasets, naming conventions, and documentation.
• Support production issues, data investigations, and continuous improvements across the BI platform.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. You'll have access to data, hands-on learning experiences, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find opportunities here that you won't find anywhere else.

Who You Are

Who You Are
You're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.

Required Skills and Experience

Power BI & Business Intelligence

• Advanced Power BI development experience, including Power BI Service and Self-Service BI solutions
• Strong expertise in DAX, Power Query (M), Semantic Models, and Shared Datasets
• Experience with Row-Level Security (RLS), report performance optimization, and enterprise-scale reporting solutions
• Knowledge of CI/CD practices for Power BI deployments

• Strong hands-on experience developing complex PySpark transformations
• Expertise in data cleansing, data enrichment, aggregations, joins, unions, pivot/unpivot operations, and window functions
• Experience with incremental data processing and performance optimization
• Strong knowledge of Spark SQL and large-scale data processing frameworks

• Solid understanding of data modeling principles, including Star Schema and Snowflake Schema design
• Experience with fact and dimension modeling, dimensional modeling, and data warehouse concepts
• Knowledge of Slowly Changing Dimensions (SCD) and relationship modeling
• Experience designing scalable analytical data models

• Advanced SQL development skills
• Expertise in query optimization, Common Table Expressions (CTEs), window functions, views, and stored procedures
• Ability to develop and optimize complex analytical queries for large datasets

• Azure Databricks
• Delta Lake
• Microsoft Fabric
• Azure Data Factory
• Azure Synapse Analytics
• Snowflake
• Git version control
• Azure DevOps
• Experience implementing CI/CD pipelines for data and BI solutions

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at Kyndryl

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at Kyndryl. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

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The employer

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FAQ

What is the BI Engineer job at Kyndryl?

A senior level role in technology (data, analytics and ai) listed 4 days ago. The full description is on this page and on The Muse.

Where is this job?

Remote / flexible (United States). A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

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How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

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How old is this listing?

It was posted on 2026-11-04 (4 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in the United States.

Sources and terms

• Job data: The Muse public API (listing dated 2026-11-04). The job disappears from this site when it disappears from the source.
• Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
• City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

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Sources

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• Census Bureau American Community Survey (via Census Reporter)
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