Senior Data Engineer

For decades, DTN has been the silent force behind some of the world’s most critical industries—helping businesses navigate complexity, uncertainty, and risk with smarter, faster decisions. From agriculture to energy to weather intelligence, our proprietary Operational Decisioning Platform transforms raw data into decision-grade insights—enabling companies to optimize supply chains, ensure market stability, and safeguard infrastructure against disruption. We don’t follow trends—we set the standard for precision, trust, and operational impact.

DTN is at an exciting inflection point. Building off a foundation of financial strength, profitability, and industry trust, we’re accelerating growth and expanding our global footprint. Our purpose-built solutions—powered by AI and honed by decades of vertical expertise—are helping some of the world’s most significant enterprises thrive amid operational constraints and uncover new opportunities in a fast-changing world.
J ob Description:

Mid-level Software Engineer
Position Summary

The Software Engineering job family specializes in the design, development and testing of software systems or applications for software enhancements and new products including cloud-based or internet-related tools.
What You Will be Responsible For:

- Designs, develops, and implements GraphQL APIs to provide unified data access across multiple systems

- Development and expansion of semantic API architecture including schema design, resolver optimization, and data normalization strategies

- Establishes data governance and security practices for semantic API layers

- Collaborates with Data Engineering teams to integrate data sources and transformation patterns

- Quality improvement processes including code reviews, schema validation, and performance optimization

- Develops documentation for semantic API patterns and implementations

What You Will Bring to the Position:
Technical Skills

GraphQL & AWS:

- Proficiency in GraphQL and AWS AppSync including schema design, batch Lambda resolvers, pipeline resolvers, subscriptions, and caching

- Minimum 3 years of AWS cloud experience (Lambda, RDS, DynamoDB, IAM, CloudWatch, X-Ray, Kinesis, Glue, Athena)

- Experience with AWS CDK or CloudFormation for infrastructure as code

- Understanding of Lambda optimization (cold starts, concurrency, VPC considerations)

Backend & Data:

- Node.js for building batch Lambda resolver functions

- Proficiency in Python for data processing and Lambda functions

- Understanding of Lambda batching patterns (DataLoader, batch aggregation, connection pooling, caching)

- SQL and database knowledge (Postgres, MySQL, Oracle)

- Experience with NoSQL databases (DynamoDB)

- Understanding of data architecture principles including modeling for transactional and analytical workloads

Development Practices:

- Git including branching strategies and code review processes

- CI/CD pipelines for AppSync and Lambda deployment

- Testing strategies (unit, integration, schema validation, batch operation testing)

- Performance profiling and optimization for serverless and databases

Professional Skills

- Minimum 4 years of software engineering experience with minimum 1-2 years focused on API architecture and data-intensive applications

- Data architecture background with understanding of data management, integration patterns, and governance

- Proven ability to lead technical initiatives and mentor engineers

- Excellent communication and documentation skills

- Experience in Agile/Scrum environments

- Problem-solving mindset for performance, data consistency, and architectural issues

- Cost optimization experience in serverless environments

Bonus Qualifications

- AWS Certifications

- Background in energy, commodities, or supply chain domains

- Multi-tenant architectures experience

- Contributions to open-source GraphQL projects

- Database administration experience across mult