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# Software Data Engineer

- **Company:** Insight Global
- **Location:** Homewood, AL, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Hospital Information Systems, Code Review, Continuous Integration, Data Architecture, Data Cleansing, Data Infrastructure, Data Integration, Data Transformation, Data Security, Data Systems, Relational Databases, Monitoring of Systems, Python (Programming Language), Enterprise Messaging Systems, MongoDB, Software Engineering, Datadog, Backend, Kubernetes, Apache Kafka, Restful APIs, Data Pipelines
- **Published:** June 16, 2026
- **Apply:** https://www.juju.com/job/00000000g8iyyk

## About the Role

4-5 years experience in data and back end software engineering

Strong proficiency in Python- building backend services (REST APIS) and data integrations

Strong experience in data cleansing/ hygiene and building data pipelines

Schema mapping and data integrations experience

Well versed in MongoDB and relational databases (RDBMS)

Strong experience working in AWS

Experience with messaging platforms (Kafka, NATS, etc.) Experience with Datadog or other monitoring tools

Veterinary or healthcare experience

Kubernetes

CICD pipeline experience

## Description

An employer is lookiing for a Software Data Engineer to sit remotely, You will primarily be tasked with building the infrastructure for "data-as-a-service" through a blend of data and backend engineering. You will contribute to the design and operation of the REST APIs and NATS-based event services that standardize data access across hospitals. You will be managing the complexity of data flowing from diverse hospital systems. You will work on complex data transformations and schema mapping to ensure that information from hundreds of different sources is normalized into a high-quality, reliable format. Your focus is on internal enablement, collaborating with the team to build services that abstract away system complexities and enforce data hygiene for our engineering and analytics groups. You will be a key contributor to our high-performance data pipelines, helping to solve large-scale integration challenges while supporting our long-term data architecture. Task will
include:

 * Develop backend services and data integrations primarily using Python.

 * Implement complex data transformations, normalization logic, and schema mapping to unify fragmented data sources.

 * Design and enforce data hygiene and quality standards to ensure the reliability of data served across the organization.

 * Manage event-based communication and system messaging through NATS.

 * Build REST APIs to standardize and govern how internal teams access hospital data.

 * Operate data systems using MongoDB and relational databases to support both operational and analytical use cases.

 * Maintain system health and visibility using Datadog for observability and monitoring.

 * Partner with engineering and analytics teams to support their data access and application development needs.

 * Participate in architecture discussions, code reviews, and the continuous improvement of the data platform.


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