Software Engineer II - Business Intelligence

Reposted Yesterday
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Hiring Remotely in Ann Arbor, MI, USA
Remote or Hybrid
139K-167K Annually
Mid level
Artificial Intelligence • Automotive • Robotics • Software • Transportation
The Role
Design, build, and maintain ETL/ELT pipelines and data models, optimize tables/views for reporting, implement data quality checks and KPIs using SQL and Python, partner with BI analysts and stakeholders, migrate AWS/Athena data delivery to Databricks, and contribute to dashboard development for leadership reporting.
Summary Generated by Built In

Meet the Team: 

Torc's BI team partners across the business to bring visibility and reporting that help leadership and teams make faster, better-informed decisions. This is an exciting opportunity to help define how data engineering and BI work together at Torc, with real influence over the architecture and tooling. 


What You'll Do: 

  • Design, build, and maintain ETL/ELT pipelines that power our data architecture. 
  • Structure and optimize tables and views to support fast, reliable reporting and dashboard performance. 
  • Build data quality checks, validation, and documentation so stakeholders can trust the numbers behind leadership and board-level reporting. 
  • Partner with BI analysts and business stakeholders to understand how data will be consumed downstream, translating reporting needs into data models and pipelines.
  • Support and help evolve leadership-critical deliverables, including the enterprise SPI dashboard and consolidated TES/WBR metrics reporting. 
  • Help migrate existing AWS/Athena-based data delivery to our Databricks platform. 
  • Define, instrument, and maintain business KPIs from scratch using SQL and Python. 
  • Contribute to hands-on dashboard development as interest and BI tooling needs align.

What You'll Need to Succeed: 

  • 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 data engineering experience — building and maintaining ETL pipelines, data quality checks, and structuring tables vs. views for reporting performance. 
  • Proficiency in Python, PySpark, or similar for pipeline / ETL development, and experience with pandas, numpy, or other data analysis tooling. 
  • Strong SQL or similar skills. 
  • Understanding of how data is consumed downstream and willingness to work with consumers on improvements.  
  • Experience with BI tools such as Tableau, Power BI, or QuickSight. 
  • Comfort working with ambiguous, evolving requirements and partnering directly with stakeholders across the business. 

Bonus Points: 

  • Experience with the Databricks platform, particularly for serving data, visualizations, and jobs.
  • AWS experience, particularly Athena, Glue, or other managed data services. 
  • Knowledge of relational, NoSQL, vector, and data warehouse architectures. 
  • Hands-on dashboard-building experience, or strong interest in developing it. 
  • Experience scaling data for ML/AI workloads (e.g., Ray). 
  • Background in automotive, AV, robotics, or other safety-critical data environments. 

Work Location: 

Ann Arbor, MI is the hiring hub for this role; remote candidates are considered. 

Hiring Range for Job Opening 
US Pay Range
$139,000$166,800 USD

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience) with 4+ years professional experience
  • Hands-on data engineering experience building and maintaining ETL/ELT pipelines, data quality checks, and structuring tables vs. views for reporting
  • Proficiency in Python and PySpark (or similar) for pipeline/ETL development; experience with pandas or numpy
  • Strong SQL skills
  • Experience with BI tools such as Tableau, Power BI, or QuickSight
  • Understanding of downstream data consumption and willingness to collaborate with data consumers and stakeholders
  • Experience with Databricks (migration/serving data) and AWS managed data services (Athena, Glue)
  • Knowledge of relational, NoSQL, vector, and data warehouse architectures
  • Experience scaling data for ML/AI workloads (e.g., Ray) or background in safety-critical domains (automotive, AV, robotics)
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The Company
HQ: Blacksburg, VA
500 Employees
Year Founded: 2005

What We Do

Torc Robotics is an independent subsidiary of Daimler Truck AG, a global leader and pioneer in trucking. Founded in 2005 at the birth of the self-driving vehicle revolution, we have 17 years of experience in pioneering safety-critical, self-driving applications. Torc offers a complete self-driving vehicle software and integration solution and is currently focusing on commercializing self-driving trucks.

Why Work With Us

Every Torc’r is unique. The traits that define and motivate us to save lives are what unite us. At Torc, we recognize that technical prowess is only part of the equation. Our team includes people with a consistent drive to accomplish great things. We look for those who don’t let ego get in the way of teamwork.

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