

Business Intelligence Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer, onsite for 5 days a week in Reston, Seattle, or the Bay Area. Requires ETL and SQL skills, experience in data lifecycle, and familiarity with observability and telemetry. Pay rate and contract length unspecified.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Seattle, WA
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π§ - Skills detailed
#"ETL (Extract #Transform #Load)" #Data Pipeline #SQL (Structured Query Language) #Data Lifecycle #Monitoring #Data Engineering #Observability #Oracle #ODI (Oracle Data Integrator) #Data Accuracy #BI (Business Intelligence) #Oracle Analytics
Role description
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Onsite, 5 days a week.
Reston, Seattle, Bay area.
Oracle Technology Stack :ODI, Oracle Database, Goldengate, Oracle Analytics Preferred but not required! ETL and SQL skills are required!
We're looking for consultants with backgrounds within the data lifecycle between Data Engineering and Business Intelligence. These consultants are required to understand the operational aspect of the Network Organization. This will enable them to understand the nomenclature and data they are driving. Will build these data sets.
We will need to be able to articulate what operational data they were working with and how the data was used. (KPIβs and SLAβs is what weβre looking for here.)
We will also need to be able to answer what infrastructure components they've worked with related to observability, telemetry, etc.
What data sets have you written for observability and telemetry?
1. Data Pipeline Development: Build and manage automated pipelines to collect, process, and store data from monitoring metrics, capacity planning tools, KPI dashboards, and operational systems.
1. Centralized Dashboard: Develop a unified reporting framework for all stakeholders, reducing redundancy and improving accessibility to key data.
1. Executive Dashboards
o Provide real-time and historical views of network infrastructure performance.
o Enable interactive reporting with drill-down capabilities.
1. Advanced Analytics & Insights:
o Identify trends and anomalies in network performance and reliability.
o Provide actionable recommendations based on data-driven insights.
o Implement predictive analytics to enhance proactive decision-making.
1. Standardization & Governance: Establish consistent reporting standards, ensuring data accuracy, consistency, and governance across all operational functions.
1. Operational Impact Measurement: Define and track key metrics to measure and enhance operational efficiency, reliability, and availability of Network Infrastructure.