Torc Robotics

Software Engineer II - Business Intelligence

Torc Robotics$139K — $166K *
US-AnywhereRemote in Ann Arbor, MI
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, or related field with 4+ years of experience in data engineering or software engineering.
  • Hands-on experience with building and maintaining ETL pipelines and data quality checks.
  • Proficiency in Python, PySpark, or similar technologies for ETL development; knowledge of data analysis tools such as pandas and numpy.
  • Strong SQL skills or similar relational database experience.
  • Understanding of data consumption and willingness to interact with stakeholders for improvements.
  • Experience with BI tools like Tableau, Power BI, or QuickSight.

Responsibilities

  • Design, build, and maintain ETL/ELT pipelines that support data architecture.
  • Structure and optimize tables and views for efficient reporting and dashboard performance.
  • Implement data quality checks and documentation to establish trust in reporting.
  • Collaborate with BI analysts and business stakeholders to translate reporting needs into data models.
  • Support and evolve critical leadership deliverables, like the enterprise SPI dashboard.
  • Migrate existing data delivery from AWS/Athena to the Databricks platform.
  • Define and maintain business KPIs from scratch using SQL and Python.

Benefits

  • Opportunities for hands-on dashboard development and directly influencing data architecture.
  • Ability to work in a collaborative environment with business stakeholders.
  • Flexible work location, with consideration for remote candidates.
Full Job Description
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

About Torc Robotics

Torc Robotics is a company that develops autonomous vehicle technology. It was founded in 2005 in Blacksburg, Virginia, and has since become a leader in the field of self-driving vehicles. Torc Robotics has developed autonomous technology for a variety of applications, including military vehicles, mining trucks, and consumer cars. The company has partnerships with major automotive manufacturers, including Daimler Trucks North America and Caterpillar. In 2019, Torc Robotics was acquired by Daimler Trucks North America, and it continues to operate as a subsidiary of the company.
Learn more about Torc Robotics
Size
200 employees
Industry
Founded
2005

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