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# BI / Data Platform Engineer

- **Company:** BCforward
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Salary:** $141,960.0
- **Contract:** Temporary contract
- **Skills:** Microsoft Windows, Business Analytics Applications, CA Workload Automation Ae, Batch Processing, Unix, Continuous Integration, Data Validation, Extract Transform Load (ETL), Data Warehousing, Database Development, Linux, IBM Cognos Business Intelligence, Job Scheduling, Python (Programming Language), Oracle Databases, Performance Tuning, Windows PowerShell, Server Administration, Tableau (Software), Cisco WebEx, Vertica, Data Pipelines, Alteryx
- **Published:** August 7, 2026
- **Apply:** https://www.dice.com/job-detail/da257982-e96f-4bf8-ab83-6acc641fb5be

## About the Role

We are seeking a Senior Application Programmer III to join our dynamic team. The ideal candidate will have strong experience in Business Intelligence platforms, data warehousing, ETL orchestration, and SQL development and a proven ability to design and optimize scalable BI solutions that meet enterprise reporting and governance standards., * Business Intelligence tools: Tableau, Cognos, Alteryx.

 * Databases: Oracle and/or Vertica.
 * Strong SQL development and performance tuning.
 * ETL tools and data pipeline orchestration.
 * CI/CD practices for data and analytics delivery.
 * Autosys job scheduling.
 * Operating systems: Windows and Linux.

Preferred Skills:

 * Python for automation and data tooling.
 * Server administration and Unix fundamentals.
 * Batch processing and PowerShell scripting.

Top Technology Skills:

 * Business Intelligence: Tableau, Alteryx, Cognos.
 * Databases: Oracle, Vertica.
 * Advanced SQL.

Top Soft Skills:

 * Clear communication and stakeholder collaboration.
 * Analytical thinking and problem-solving.
 * Ability to work independently and deliver under defined timelines.

## Description

* Design and architect BI platforms, including scalable data warehouses, ETL pipelines, and analytics solutions for enterprise reporting.
 * Implement data validation, quality checks, observability, and governance-aligned controls.
 * Automate workflows using scripting and optimize platform performance and reliability.
 * Manage and enhance ETL and data pipelines, troubleshoot issues, improve performance, and oversee cross-source data reconciliation.
 * Partner with stakeholders to translate business needs into effective data and analytics solutions.
 * Coordinate with engineering and analytics teams to manage dependencies and deliver high-quality outputs., * Round 1: Webex or virtual interview with 2-3 interviewers, including technical and hiring manager.
 * Round 2: Technical deep dive with team lead, virtual or onsite.
 * Round 3: Final discussion with leadership and stakeholders.


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