Full-Stack Data Engineer – Databricks & AWS

National-Information-Solutions-Cooperative-; Lake Saint Louis (MO); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Medical, Dental and Vision Insurance

Health Savings Account with company HS

401(k) with employer match

Job summary

National Information Solutions Cooperative (NISC) is seeking a Software Developer II for Meter Data Management Software with a strong full-stack and data engineering focus. The role emphasizes Databricks, Delta Lake, and cloud-based pipelines to enable analytics, billing validation, and customer support enhancements.

You will join a collaborative team that designs scalable data solutions, works with AMI data, and supports product and engineering initiatives across multiple office locations with

Qualifications

• 5+ years of software development experience.
• Experience in a full-stack, cloud-based environment with data-focused workloads.
• Proficient with Databricks, Delta Lake and Big Data technologies.

Responsibilities

• Design, develop, test, and maintain full-stack applications and scalable data pipelines.
• Build and optimize data pipelines and datasets to support analytics and data science use cases.
• Work with Data Warehouse and Lakehouse architectures, including Databricks and Delta Lake.
• Collaborate with Product, Data, UX, and Engineering teams to deliver business solutions.
• Apply SDLC best practices to ensure quality, performance, security, and maintainability of production code.

Skills

Databricks

Delta Lake

Big Data

Java

Scala

AWS

Data Pipelines

CI/CD

Docker

Kubernetes

Education

Bachelor’s Degree in Computer Science or related field

Tools

Databricks

Delta Lake

Spark

Kafka

AWS

S3

EC2

EMR

Lambda

JIRA

Job description

National Information Solutions Cooperative (NISC) is seeking a Software Developer II for Meter Data Management Software with a strong full-stack and data engineering focus. The role emphasizes Databricks, Delta Lake, and cloud-based pipelines to enable analytics, billing validation, and customer support enhancements.

You will join a collaborative team that designs scalable data solutions, works with AMI data, and supports product and engineering initiatives across multiple office locations with