Data Analyst Programmer

Overview

Duration: 03/16/2026 - 3 years

Work Hours:

Mon a0 Fri a0d a0 7:00 AM - 5:30 PM PST

Location:

Las Vegas, NV

Position:
Hybrid (However, this position can be 75% remote, provided the applicant can consistently VPN using their own computer/equipment.)

We are seeking a skilled Data Analyst Programmer with at least 3 years of professional experience in designing, building, and maintaining end-to-end data pipelines and analytics solutions across on-premises and cloud environments. The ideal candidate will have strong ETL expertise, hands-on experience with Azure data services, solid data modeling and warehouse design skills, and a strong commitment to data quality, governance, and compliance.

• Design, develop, and maintain ETL/ELT pipelines using both on-premises and cloud-based tools, including IBM Info Sphere Data Stage, Microsoft SSIS, and Azure Data Factory (ADF), based on the project plan.
• Build and manage scalable data pipelines and storage solutions using Azure Synapse Analytics and Azure Data Lake Storage
  , ensuring efficient data ingestion, transformation, and retrieval, based on the project plan.
• Develop and optimize data solutions using Python, R, T-SQL, and PL/SQL to support analytics, reporting, and downstream applications.
• Work with traditional on-premises relational databases such as Oracle, SQL Server, and DB2
  , including performance tuning and data integration.
• Design and implement data models, data warehouses, and architectural frameworks that support enterprise reporting and analytics needs.
• Create and maintain Power BI datasets, data models, and reports
  , ensuring optimized performance and accurate business insights.

• Ensure data quality, accuracy, and reliability across all data pipelines by implementing validation, monitoring, and governance processes.
• Support trustworthy and compliant data analytics by maintaining traceable data lineage and enforcing governance standards throughout the data lifecycle.
• Collaborate with stakeholders, analysts, and data consumers to understand requirements and translate them into scalable data solutions.
• Deliver weekly progress reports for development team code review.
• Analyze and correct technical issues as found, providing weekly bug status updates.
• Maintain and communicate status of work performed bi-weekly at minimum.

Expert level/Minimum three (3) years’ experience in:

• ETL development using on-premises and cloud tools.
• Python, R, T-SQL, and/or PL/SQL.
• Azure Synapse Analytics and Azure Data Lake Storage
• Design and implement data pipelines following Medallion Architecture (Bronze, Silver, Gold layers)

Advance level/Minimum one (1) year’ experience in:

• On-premises databases (Oracle, SQL Server, DB2).
• Power BI and Power BI data modeling.

Minimum one (1) year’ experience in:

• Data modeling and data warehouse design and architecture for on-premises and cloud environments.
• Data governance, validation, monitoring, and lineage management.

• Experience supporting predictive analytics or advanced analytics workloads.
• Familiarity with cloud-based data governance and monitoring frameworks.
• Demonstrates professional organization, documentation, communication, and interpersonal skills.
• Strong communication and collaboration skills

• This ongoing project could last up to 3 years

• March 16, 2026, pending background check (May take up to 6 weeks)