Responsibilities:
- Develop and maintain data processing pipelines.
- Collaborate with data scientists to optimize data models.
- Implement scalable algorithms for data analysis.
- Ensure high performance and reliability of data systems.
- Participate in code reviews and knowledge sharing sessions.
- Bachelor's degree in Computer Science, Engineering, or related field.
- 4+ years of experience in software engineering with a focus on data systems.
- Proficiency in programming languages such as Python, Java, or Scala.
- Experience with big data technologies like Hadoop, Spark, or Kafka.
- Strong problem-solving skills and attention to detail.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
Skills Required
- 4+ years as a backend/software engineer with solid Python skills
- Experience as a Data Infrastructure Engineer or similar role managing large-scale datasets
- Proven experience with AI development tools (Claude Code)
- Experience deploying and testing code within Kubernetes environments
- Experience working with message queues (SQS, Kafka, RabbitMQ) and handling consumer errors
- Familiarity with Airflow (or comparable orchestration) and Docker in production
- Experience with AWS services (SQS, S3) or comparable cloud platforms
- Solid PostgreSQL/SQL skills; comfortable writing complex queries and working with multiple databases
- Experience working in a large existing codebase and following established patterns
- Strong debugging skills; trace problems through logs and multiple services
- Bachelor's degree in Computer Science, Engineering, or equivalent (including relevant army background)
- AI-first mindset; curious and driven to experiment with AI tools and LLMs
What We Do
Eliminate time-consuming manual utility research. Get instant access to reliable utility data and insight to accelerate infrastructure planning, reduce risks, and build confidently. 4M is the first Utility AI Mapping and Analytics Solution, built for project owners, civil engineers, general contractors, and government during the early stages of infrastructure development. Our utility AI mapping solution delivers real-time, reliable utility data, liberating engineers from conventional record research, enabling strategic planning and design, and mitigating risk - right from your office. Choose 4M Analytics for a more reliable, efficient, cost-effective utility mapping solution, and start winning more projects today. Learn more here: https://www.4manalytics.com/
