About TruckSmarter
Logistics is one of the single largest industries in the world. Globally, logistics is an $8-$12 trillion dollar industry and in the US alone, ~$2 trillion, representing ~10% of GDP. A single percent of improvement drives profound change to every corner of the world — from the cost of our goods, to the livelihoods of local communities, to even the impact on our environment. To reshape the industry, at TruckSmarter, our focus is first on truck drivers. Trucks move 71% of freight in America (~$800bn annually) & the trucking industry represents nearly 6% of the full-time jobs in the country. If you look around you, every item has sat on a truck at one point on its journey to you. However, despite the industry being one of the greatest levers of innovation throughout history, it is still deeply fragmented & structurally misaligned. Our mission is to fix that — and we need your help.
The role
We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will have a strong background in data engineering with expertise in AWS infrastructure. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions that enable efficient data processing and analysis. This role requires a deep understanding of data-related services.
TruckSmarter is building a financial operating system for small trucking companies, providing accelerated cash flows, spend management, and business banking. In this role, you’ll manage critical data pipelines for millions of dollars of transactions, hundreds of thousands of extracted documents, and thousands of live underwriting decisions. You’ll work cross-functionally with sales, finance, engineering, and design to help empower data driven decisions.
Working model: TruckSmarter offers an in-office collaborative culture. This role is based out of our downtown San Francisco office, and requires in-office presence three days per week (typically Mondays, Wednesdays, and Fridays).
What Excites You
- Design, implement, and optimize data pipelines using DBT, and AWS services like Glue, S3, and Athena among others.
- Develop and maintain ETL processes to ingest, transform, and load data from various sources into our data warehouse.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet business needs.
- Ensure data integrity, quality, and security in all data processes and workflows.
- Monitor and troubleshoot data pipelines, ensuring they are reliable, scalable, and efficient.
- Optimize data storage and retrieval strategies to improve performance and reduce cost.
What Excites Us
- Proficiency in SQL and experience with data querying and manipulation.
- Experience with data modeling, ETL processes, and building data pipelines.
- Solid understanding of data warehousing concepts and best practices.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Strong ability to work independently.
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
- 3-5 years of experience working on similar roles.
- Experience with Python or other scripting languages used for data processing.
- Hands-on experience with AWS data services, including AWS Glue, Apache Airflow, S3, Athena, Lambda, Redshift, RDS PostgreSQL, and Kinesis is a plus.
- Experience with DBT (Data Build Tool) and AWS DMS (Database Migration Service).
- Experience working in a fast-paced, startup environment.
What Success Looks Like
- Craft — Build high quality software that delights end users.
- Ownership — Advocate for projects and solutions that you believe in and see them through to production.
- Leadership — Level up your teammates by providing mentorship, guidance, and influence.
We would love for you to join us on this journey and are excited to review your application!
Compensation Range: $140K - $165K
#J-18808-Ljbffr