Job Description:Mid-level Software EngineerPosition SummaryThe 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 multiple platforms
What You Can Expect from DTN: - Competitive Salary
- Unlimited PTO
- Flexible working hours
- Remote work model (position dependent)
- Competitive Medical, Dental and Vision Insurance Plans
- 6% 401K matching
- Unlimited access to 13k+ courses via learning platform to support employee career advancement
- Employee Assistance Program (EAP)
CompensationThe targeted hiring base pay range for this position is between
$100,000 and $123,000. DTN is a pay for performance organization, which means there is the opportunity to advance your compensation with performance over time. The actual base pay offered for this position will be dependent upon many factors, including but not limited to: prior work experience, training/education, transferable skills, business needs, internal equity and applicable laws. The targeted hiring base pay range is subject to change and may be modified in the future. This role may also be eligible for market competitive variable pay and benefits.
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