Pay
Lower than most similar jobs
$114K–$137K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Ann Arbor, MI, Blacksburg, VA
Live, first seen by us 59 days agoUS Pay Range $114,400—$137,300 USDRead the full posting
Create robust, resilient pipelines for large daily volumes of vehicle and simulation data
Build and support scalable pipelines for ML training data
Scale the data lake through distributed storage, crawling and discovery
Protect data integrity through validation, versioning, provenance and governance
Participate in business-hours on-call rotation for deployed systems
Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale
Scale Torc’s data lake through a distributed storage system, data crawling and discovery
Promote and protect the integrity of data through validation, versioning, data provenance, and governance
Participate in the team’s on-call rotation to support our deployed systems during business hours
What You’ll Need to Succeed - BS/MS Degree in Computer Engineering, Computer Science, or related field - Experience writing code using Python
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
In the employer’s words · Read in context
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Lower than most similar jobs
$114K–$137K against $127K–$190K, the middle half of what similar US postings state.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Day 59
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
16 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue) - Linux / Bash - Docker
- A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code - Experience with Linux and general bash scripting - Experience deploying, troubleshooting, monitoring and maintaining Linux systems
- Python - React/Javascript - On-Call Tooling (Datadog, AWS Cloudwatch)
- Terraform - Python - React/Javascript
- BS/MS Degree in Computer Engineering, Computer Science, or related field - Experience writing code using Python - Practical experience with Docker and containerization
- Experience developing cloud-based serverless solutions - Experience with pandas, numpy and other Python-based data analysis libraries and tooling - Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)
What You’ll Do We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company. - Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
Here’s a list of some of the technologies we use to make all the above happen: - Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue) - Linux / Bash
- React/Javascript - On-Call Tooling (Datadog, AWS Cloudwatch) - Databricks
- Experience with pandas, numpy and other Python-based data analysis libraries and tooling - Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena) - Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
- On-Call Tooling (Datadog, AWS Cloudwatch) - Databricks What You’ll Need to Succeed
- Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores - Experience with the Databricks platform, particularly for serving data, visualizations and jobs - Experience with scaling data for ML and AI workloads using Ray
- Linux / Bash - Docker - Terraform
- Experience writing code using Python - Practical experience with Docker and containerization - A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
- Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems - Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores - Experience with the Databricks platform, particularly for serving data, visualizations and jobs
- Docker - Terraform - Python
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business.
A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight.
Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet the Team
Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts.
What You’ll Do
We are looking for a Software Engineer who is eager to learn and grow while helping build and support Linux- and cloud-based data systems. In this role, you’ll work closely with experienced engineers to contribute to AWS-based data ingestion, ETL, and storage solutions that enable analytics, simulation, and ML training across the company.
Create robust and resilient pipelines to process massive daily volumes of data created by vehicle fleets and simulation environments
Build and support scalable pipelines as part of Torc’s Data Factory to deliver data for ML training at scale
Scale Torc’s data lake through a distributed storage system, data crawling and discovery
Promote and protect the integrity of data through validation, versioning, data provenance, and governance
Support the expansion of Torc’s data lake through acquisition of additional data sets from internal and external sources
Assist in the development and delivery of cloud-based solutions
Collaborate with teams specializing in perception, planning, control, mapping and vehicle testing to develop solutions that support product delivery
Support the implementation of emerging cloud-based capabilities that can extend our technology stack and improve our ability to build, deploy and test safety-critical software for self-driving vehicles
Participate in the team’s on-call rotation to support our deployed systems during business hours
Here’s a list of some of the technologies we use to make all the above happen:
Managed services powered by AWS (Lambda, SFN, Batch, EventBridge, Athena, Glue)
Linux / Bash
Docker
Terraform
Python
React/Javascript
On-Call Tooling (Datadog, AWS Cloudwatch)
Databricks
What You’ll Need to Succeed
BS/MS Degree in Computer Engineering, Computer Science, or related field
Experience writing code using Python
Practical experience with Docker and containerization
A strong commitment to test-driven development patterns, continuous integration and delivery, and infrastructure as code
Experience with Linux and general bash scripting
Experience deploying, troubleshooting, monitoring and maintaining Linux systems
Bonus Points
Strong organizational, time management, and communication skills working with a team orientation and collaborative style
Experience developing cloud-based serverless solutions
Experience with pandas, numpy and other Python-based data analysis libraries and tooling
Knowledge of AWS serverless architectures (Lambda, Batch, ECS Fargate, Glue, Athena)
Experience with data storage and acquisition patterns for robotics and advanced driver assistance systems
Knowledge of different database architectures, including but not limited to relational and NoSQL databases, vector stores, data warehousing and clustered, distributed data stores
Experience with the Databricks platform, particularly for serving data, visualizations and jobs
Experience with scaling data for ML and AI workloads using Ray
Perks of Being a Full-time Torc’r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities.
Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: 102861
Selected passages from the saved posting. Check the full description for conditions and exceptions.
US Pay Range $114,400—$137,300 USD
Ann Arbor, MI, Blacksburg, VA
Meet the Team Torc’s Data Engineering team is a highly collaborative group focused on building secure, scalable systems that let customers work with data easily and confidently. We operate as a distributed, remote-first team, ensuring everyone has equal access to information and collaboration. Our work includes frequent touchpoints—daily standups, planning sessions, and ad hoc discussions over Zoom or Slack. Because we own our services end-to-end, each engineer participates in a business hour on call rotation. We prioritize healthy work/life balance and sustainable development over heroic efforts. What You’ll Do
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