Software Engineer II – Business Intelligence

Torc Robotics

Software Engineer II building data pipelines, KPIs, and BI reporting at Torc Robotics, an autonomous-vehicle company. Supporting Databricks migration and leadership-critical dashboards.

Posted 8/12/2026full-timeRemote • Missouri • 🇺🇸 United StatesMid-LevelSenior💰 $139,000 - $166,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in designing and maintaining ETL/ELT pipelines, optimizing data structures for reporting, and implementing data quality checks. Strong experience in SQL and Python, with a focus on BI tools and stakeholder collaboration.

Highest-signal resume keywords

ETL Pipeline DevelopmentSQL ProficiencyPython ProgrammingBI Tool ExperienceDatabricks Platform Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

ETL DevelopmentData Quality ChecksSQLPythonPySparkData AnalysisDashboard DevelopmentData ModelingKPI DefinitionData Architecture

Soft Skills

Stakeholder CollaborationAdaptabilityProblem-Solving

Tools & Technologies

TableauPower BIQuickSightAWSAthenaGlueDatabricksPandasNumpy

Industry Keywords

Data EngineeringSoftware EngineeringBusiness IntelligenceSafety-Critical DataAutomotiveAVRobotics

Tech Stack

Tools & technologies

AWSETLNoSQLNumpyPandasPySparkPythonRaySQLTableau

About the role

Key responsibilities & impact

Design, build, and maintain ETL/ELT pipelines that power the data architecture
Structure and optimize tables and views for fast, reliable reporting and dashboard performance
Build data quality checks, validation, and documentation for leadership and board-level reporting
Partner with BI analysts and business stakeholders to translate reporting needs into data models and pipelines
Support leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting
Help migrate AWS/Athena-based data delivery to the Databricks platform
Define, instrument, and maintain business KPIs using SQL and Python
Contribute to hands-on dashboard development as BI tooling needs align

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering; equivalent experience considered
Hands-on experience building and maintaining ETL pipelines, data quality checks, and reporting-optimized tables and views
Proficiency in Python, PySpark, or similar for pipeline/ETL development
Experience with pandas, numpy, or other data analysis tooling
Strong SQL or similar skills
Understanding of downstream data consumption and willingness to work with consumers on improvements
Experience with BI tools such as Tableau, Power BI, or QuickSight
Experience partnering directly with stakeholders across the business and working with ambiguous, evolving requirements
Bonus: Databricks platform experience
Bonus: AWS experience, particularly Athena, Glue, or other managed data services
Bonus: Knowledge of relational, NoSQL, vector, and data warehouse architectures
Bonus: Hands-on dashboard-building experience or strong interest in developing it
Bonus: Experience scaling data for ML/AI workloads such as Ray
Bonus: Background in automotive, AV, robotics, or other safety-critical data environments

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Torc Robotics Website LinkedIn All Job Openings 501 - 1000 employees Founded 2007 🚘 Automotive 📦 Logistics 🚗 Transport Automotive
Logistics
Transport Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking. Software Engineer II – Business Intelligence Job not on LinkedIn 🔥 1 minute ago 🚗 Michigan – Remote 💵 $139k - $166.8k / year ⏰ Full Time 🟡 Mid-level 🟠 Senior 📚 Business Intelligence Analyst 🦅 H1B Visa Sponsor Apply Now Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design, build, and maintain ETL/ELT pipelines that power the data architecture
Structure and optimize tables and views for fast, reliable reporting and dashboard performance
Build data quality checks, validation, and documentation for leadership and board-level reporting
Partner with BI analysts and business stakeholders to translate reporting needs into data models and pipelines
Support leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting
Help migrate AWS/Athena-based data delivery to the Databricks platform
Define, instrument, and maintain business KPIs using SQL and Python
Contribute to hands-on dashboard development as BI tooling needs align 🎯 Requirements
Bachelor's degree in Computer Science, Data Engineering, or a related field, with 4+ years of professional experience in data engineering or software engineering; equivalent experience considered
Hands-on experience building and maintaining ETL pipelines, data quality checks, and reporting-optimized tables and views
Proficiency in Python, PySpark, or similar for pipeline/ETL development
Experience with pandas, numpy, or other data analysis tooling
Strong SQL or similar skills
Understanding of downstream data consumption and willingness to work with consumers on improvements
Experience with BI tools such as Tableau, Power BI, or QuickSight
Experience partnering directly with stakeholders across the business and working with ambiguous, evolving requirements
Bonus: Databricks platform experience
Bonus: AWS experience, particularly Athena, Glue, or other managed data services
Bonus: Knowledge of relational, NoSQL, vector, and data warehouse architectures
Bonus: Hands-on dashboard-building experience or strong interest in developing it
Bonus: Experience scaling data for ML/AI workloads such as Ray
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