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Olap Cube Developer Jobs (NOW HIRING)

GainAm

Senior Cognos Developer job

Hicksville, NY · On-site

$110K/yr

Strong experience in creating OLAP Cubes using Cognos Transformer. Required Experience This ... metadata model development, new cube development, performance tuning and optimization ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site

$160K - $190K/yr

Design and maintain semantic layers and BI cubes using Cube.dev and/or MicroStrategy to support ... Exposure to materialized views, primary key models, or real-time OLAP optimizations. * Experience ...

Fanatics, Inc.

Senior Data Engineer

San Mateo, CA · On-site +1

$160K - $190K/yr

Design and maintain semantic layers and BI cubes using Cube.dev and/or MicroStrategy to support ... Exposure to materialized views, primary key models, or real-time OLAP optimizations. * Experience ...

Quantiphi, Inc.

Architect Data Engineer

Boston, MA · On-site +1

Proven expertise in architecting for Snowflake (Data Cloud) and Kinetica (Real-time/Vector/OLAP ... Experience with tools like Cube or dbt Semantic Layer to provide a consistent "Language" for AI ...

New

Alpaca

Senior Analytics Engineer

$107K - $146K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... OLAP systems (e.g., Postgres, Iceberg). * Proficiency with Semantic Layer modelling (e.g. Cube, dbt ...

Alpaca

Senior Analytics Engineer

New York, NY · On-site +1

$114K - $157K/yr

... developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by top ... OLAP systems (e.g., Postgres, Iceberg). * Proficiency with Semantic Layer modelling (e.g. Cube, dbt ...

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Olap Cube Developer information

What are some common challenges faced by OLAP Cube Developers when optimizing cube performance?

OLAP Cube Developers often encounter challenges related to query performance and data refresh times, especially as datasets grow larger and more complex. Optimizing cube design, such as managing aggregations, partitions, and indexing, is crucial to ensure fast response times for end users. Developers also need to balance the granularity of data with the need for efficient storage and processing. Collaborating closely with data architects and BI analysts helps in understanding user requirements and fine-tuning cubes to support business needs effectively.

What are the key skills and qualifications needed to thrive as an OLAP Cube Developer, and why are they important?

To thrive as an OLAP Cube Developer, you need a strong background in database design, data modeling, and proficiency in multidimensional expressions (MDX), usually supported by a degree in computer science or a related field. Familiarity with Microsoft SQL Server Analysis Services (SSAS), Business Intelligence tools, and relevant certifications like Microsoft Certified: Data Analyst Associate are typically required. Analytical thinking, attention to detail, and effective communication skills help translate business requirements into robust analytical solutions. These capabilities ensure efficient data analysis, accurate reporting, and the delivery of actionable insights for organizational decision-making.

What is an OLAP Cube Developer?

An OLAP Cube Developer is a professional who designs, develops, and maintains OLAP (Online Analytical Processing) cubes, which are data structures used to quickly analyze complex data from multiple perspectives. These developers work with business intelligence tools and databases to organize large volumes of data, enabling fast and efficient querying for reporting and analytics. Their work supports decision-making by providing users with multidimensional views of data, such as sales by region, product, or time period.

What is the difference between Olap Cube Developer vs Data Warehouse Developer?

AspectOlap Cube DeveloperData Warehouse Developer
Required SkillsOLAP, SQL, data modeling, cube designETL, SQL, data modeling, schema design
Work EnvironmentBI teams, data analytics projectsData integration, backend data systems
CertificationsBI, OLAP, SQL certificationsETL, data warehousing certifications

Olap Cube Developers focus on designing and maintaining OLAP cubes for data analysis, while Data Warehouse Developers build and manage the overall data warehouse infrastructure. Both roles require SQL and data modeling skills, but Olap Cube Developers specialize in multidimensional data structures for reporting, whereas Data Warehouse Developers handle data integration and storage solutions.

Infographic showing various Olap Cube Developer job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

Cubes, Measures, Dimensions

Atria Group LLC

Dallas, TX

Other

Posted 26 days ago

Job description

Company Description

We specialize in Staffing, Consulting, Software Development, and Training along with IT services to small to medium size companies. AG's primary objective is to help companies maximize their IT resources and meet the ever-changing IT needs and challenges.

In addition, AG offers enterprise resource planning and enterprise application integration, supply-chain management, e-commerce solutions, and B2B public exchanges and B2B process integration solutions. Our company provides application analysis, design, development and programming, software engineering, systems development, testing, integration, and implementation, and management consulting services to various clients - including governmental agencies and private companies - throughout the United States and India.

We provide these services in multiple computing environments and use technologies such as client/server architecture, object-oriented programming languages and tools, distributed database management systems, state-of-the-art networking, and communications infrastructures. Our honest and realistic approach to recruiting dictates that AG does not entice or lure engineers from their employers. We represent only high caliber technical professionals who have committed to making a change required by career.

Job Description

Top Three Skills:

Cubes, Measures, Dimensions 

Job Description:

This is an internal customer facing role.

  • Create and manage data marts and OLAP cubes in Microsoft SSAS, using Multidimensional and Tabular models.
  • Perform dimensional modeling, and define semantic layers and BI Metadata repositories to support reporting and analysis.
  • Utilize dimension intelligence, and create dimensions, measures, MDX functions, KPIs, Perspectives, Partitions, Roles, and Actions.
  • Implement dynamic security, and configure cube for use via Cognos, Excel and Power View reports.
  • Monitor and fine-tune SSAS server configuration, and use aggregation design wizard to optimize space and performance.
  • Create SSIS packages for ETL processing.
  • Ideal candidate can take a cube and add measures/dimensions and reports.
  • Tableau experience is a plus. 

Additional Information:

Work Environment: Team Environment. 

Interview Information: Phone/F2F with managers and CIO 

Who is the Internal/External Customer: http://rws.allegisgroup.com/RWS/images/callout_question.gif

Internal customers that seek reporting/BI 

Impact to the Internal/External Customer: http://rws.allegisgroup.com/RWS/images/callout_question.gif

Without this role they can not make intelligent business decisions based on data. 

Business Challenge: They are looking to strengthen their BI offerings internally... where do we send certain inventory? Last year vs. this year reports, etc. 

EVP: http://rws.allegisgroup.com/RWS/images/callout_question.gif

Small environment, large growth opportunity. 

Non-Technical Skills: Communication - customer facing. 

Why is position open?:  Growth 

Additional Information
  1. Good comm skills are a big priority
  2. Duration: 6+ Months 

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