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# Business Intelligence Engineer

- **Company:** CareerCircle
- **Location:** Atlanta, GA, United States (Remote available)
- **Experience:** Experienced
- **Salary:** $83,200.0 - $104,000.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, Data Analysis, Databases, System Configuration, Data Architecture, Data Validation, Extract Transform Load (ETL), Data Mining, Data Visualization, Data Warehousing, Decision Support Systems, Amazon DynamoDB, R (Programming Language), Statistical Hypothesis Testing, Identity and Access Management, Python (Programming Language), MATLAB, Regression Analysis, Robotic Automation Software, SAS (Software), Software Engineering, SQL Databases, Tableau (Software), Excel Solver, Data Processing, Scripting, Freeform SQL, Storage Technologies, Data Lineage, Data Analytics, Tools for Reporting, Software Version Control, Data Pipelines, Amazon Redshift
- **Published:** August 20, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ga/atlanta/3a7e13e6-411d-4d3d-9727-98532e84b371

## About the Role

Dashboard
Scripting
Pipelines
Operations
Management
Automation
Governance
Enthusiasm
Statistics
Scalability
Data Mining
Excel Solver
Data Lineage
Data Modeling
SAS (Software)
Data Pipelines
Version Control
Experimentation
Robotic Systems
Data Validation
Amazon DynamoDB
Amazon Redshift
Data Warehousing
Data Architecture
Influencing Skills
Business Valuation
Data Visualization
Workflow Management
Amazon Web Services
Statistical Methods
Experimental Design
Regression Analysis
Reporting Solutions
Statistical Analysis
Lifecycle Management
System Configuration
Architectural Design, 3+ years of BI Engineering Experience

-3+ years of python scripting

 - Experience with data modeling, warehousing and building ETL pipelines

 - Experience with data visualization using Tableau, Quicksight, or similar tools

 - Experience writing complex SQL queries

 - Experience in Statistical Analysis packages such as R, SAS and Matlab

 - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Preferred Qualifications

 - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift

 - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Business Intelligence
Full Stack Development
Artificial Intelligence
Business Transformation
Program Lifecycle Phase
Research And Development
R (Programming Language)
Exploratory Data Analysis
SQL (Programming Language)
Data-Driven Decision Making
Software Release Life Cycle
Standard Operating Procedure
Extract Transform Load (ETL)
Amazon Elastic Compute Cloud
Python (Programming Language)
Registered Sleep Technologist
Influencing Without Authority
Statistical Hypothesis Testing
Tableau (Business Intelligence Software), We are looking for an experienced and enthusiastic Business Intelligence Engineer to join the BI Engineering team supporting Robotic programs. In this role, you will serve as the BI owner for portfolio of robotic solutions - designing, developing, and maintaining dashboards, reports, and other analytics artifacts that enable data-driven decisions across the program lifecycle. You will also establish the standards and operating procedures that ensure our BI solutions remain scalable, reliable, and maintainable as RST's technology portfolio grows. Beyond dashboards, you bring a strong foundation in statistics - including hypothesis testing, design of experiments, and exploratory data analysis - to support engineering and program teams in evaluating robotic system performance. You are a collaborative problem-solver who thinks holistically about how systems work together and uses data to identify improvements to architecture, design, and operational readiness., * BI Ownership for RST: Design, build, and maintain dashboards and reporting solutions that serve all robotic solutions through their Alpha, Beta, and General Availability phases.

 * Governance & Maintainability: Develop and document Standard Operating Procedures (SOPs) for dashboard lifecycle management - including version control practices, data validation standards, refresh monitoring, stakeholder access management, and deprecation workflows - to ensure long-term health and scalability of the team's BI portfolio.

 * Data Source Development: Identify and onboard new data sources, define metrics, and build data pipelines that feed BI solutions and enable cross-program comparisons.

 * Stakeholder Partnership: Collaborate with Data Scientists, Data Engineers, Program Managers, and engineering teams to translate ambiguous business questions into structured analyses and automated reporting.

 * Statistical Analysis: Execute foundational statistical methods including hypothesis testing, confidence intervals, design of experiments (DOE), and regression analysis to support engineering evaluations and program decisions.

A day in the life

You will own major components of the team's analytics infrastructure, including contributing to data architecture decisions and delivering reports that drive the development and deployment of new robotic storage systems. On any given day, you might be building a new operational dashboard for a robotic solution entering Beta, writing an SOP that defines how the team documents data lineage and refresh schedules, or running a designed experiment to evaluate a system configuration change. You will maintain a deep understanding of data lineage across your BI solutions - from the technical systems generating the data, through metric aggregation processes, to how insights are consumed and acted upon by stakeholders. You will create and optimize scripts (Python, R, Shell) to streamline BI processes and select appropriate analytics and visualization tools to meet diverse business needs. Your work will directly influence technology development decisions across RST's portfolio and shape
the future of robotic storage technology landscape., Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
Related Jobs
Business Intelligence Engineer - 100% Remote
TEKsystems

Atlanta, GA*Hybrid

MATLAB
Dashboard
Scripting
Pipelines
Operations
Management
Automation
Governance
Enthusiasm
Statistics
Scalability
Data Mining
Excel Solver
Data Lineage
Data Modeling
SAS (Software)
Data Pipelines
Version Control
Experimentation
Robotic Systems
Data Validation
Amazon DynamoDB
Amazon Redshift
Data Warehousing
Data Architecture
Influencing Skills
Business Valuation
Data Visualization
Workflow Management
Amazon Web Services
Statistical Methods
Experimental Design
Regression Analysis
Reporting Solutions
Statistical Analysis
Lifecycle Management
System Configuration
Architectural Design
Confidence Intervals
Business Intelligence
Full Stack Development
Artificial Intelligence
Business Transformation
Program Lifecycle Phase
Research And Development
R (Programming Language)
Exploratory Data Analysis
SQL (Programming Language)
Data-Driven Decision Making
Software Release Life Cycle
Standard Operating Procedure
Extract Transform Load (ETL)
Amazon Elastic Compute Cloud
Python (Programming Language)
Registered Sleep Technologist
Influencing Without Authority
Statistical Hypothesis Testing
Tableau (Business Intelligence Software)
+0


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