Senior Data Engineer

Optym is a leading provider of decision automation and optimization software products for transportation and logistics companies. Optym’s products solve some of the most challenging decision problems faced by world’s leading airlines, trucking and railroads companies using cutting-edge optimization techniques. With its headquarters located in Dallas, Texas, and branches in four countries, Optym has over 250 highly qualified professionals and is rapidly growing.

Optym offers competitive compensation and a great benefits package. Learn more about Optym and its culture at

Optym is seeking a Data Engineer to support the Route Max suite, which delivers AI-driven routing and operational decision support for LTL and final-mile logistics. This role will play a key part in building and evolving data lakes and analytical platforms, where data from multiple Optym LTL products flows into a unified foundation to support reporting, analytics, and AI-driven features.

This role involves building and maintaining data pipelines and infrastructure, ensuring data quality, and supporting analytics and AI-driven features. The role will also involve hands-on coding as part of product and solution development from time to time.

• Design, develop, and maintain scalable data pipelines for operational and analytical use cases
• Work closely with software engineers, data scientists, and product teams on features
• Ensure data quality, consistency, and performance across ingestion and processing workflows
• Develop data models, schemas, and documentation
• Write clean, maintainable code for data processing and integration
• Support production deployments and troubleshoot data-related issues
• Continuously optimize data workflows for performance and scalability

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field
• Strong experience using Python for data processing and automation
• Proficiency in at least one additional programming language (e.g., C#, Java or equivalent)
• Strong knowledge of data processing - Spark, Messaging-Kafka, big data env:
  
  - Hadoop, hive, hbase
• Experience in datalake and data warehouse
  
  Strong understanding of databases and data modeling (SQL and No
  
  SQL)

• Programming languages: C#, Python, Type Script and NodeJS
• Frameworks and platforms: .NET Core
• Databases:
  Relational and No
  
  SQL
• Data processing and integration tools as required by product and client environments

• Experience with distributed data processing frameworks
• Exposure to analytics, optimization, or AI-driven systems
• Prior experience in logistics, transportation, or supply-chain domains

• Work on high-impact problems for global clients.
• Collaborate with world-class experts in optimization and AI.
• Opportunity to see your algorithms deployed at scale in real operations.
• Innovative culture, flexible environment, and strong growth potential.

We follow a hybrid model where we work from office on Tuesdays, Wednesdays and Thursdays. Please send your resumes to