Part-Time Integration Engineer - MuleSoft & Python

Sterling; North Sioux City (SD); On-site; USD 25,000 - 40,000; Part time

Job summary

Sterling Computers Corporation is seeking a part-time Junior Developer in North Sioux City, SD, to build and maintain integrations across Sterling’s systems. The role focuses on MuleSoft, Databricks, Data360, APIs, and Python to automate workflows and expose secure APIs.

Ideal candidates have a BS in CS/IS/Data Analytics or equivalent practical experience, with hands-on experience in API-led connectivity and data integration. Collaboration and clear progress communication are essential.

Qualifications

• Bachelor’s degree preferred; candidates pursuing a relevant degree or with equivalent practical experience will be considered.
• Experience supporting business users, gathering requirements, and translating needs into technical solutions.

Responsibilities

• Design, build, test, and maintain MuleSoft integrations, APIs, and data flows.
• Develop Python scripts and services to automate data processing and integration tasks.
• Support Databricks-based data engineering activities including notebooks, SQL queries, and pipelines.
• Assist with Data360/Data Cloud work including data ingestion, harmonization, and validation of metrics.
• Document integration designs, API specifications, data mappings, and support procedures.
• Collaborate with stakeholders to translate business requirements into technical solutions.

Skills

MuleSoft

Databricks

APIs

Python

REST APIs

Salesforce Data Cloud

Data360

SQL

JSON/XML

Data engineering

Education

Bachelor’s degree in Computer Science/Information Systems/Data Analytics

Tools

MuleSoft Anypoint Platform

Databricks notebooks

REST tooling

Job description

Sterling Computers Corporation is seeking a part-time Junior Developer in North Sioux City, SD, to build and maintain integrations across Sterling’s systems. The role focuses on MuleSoft, Databricks, Data360, APIs, and Python to automate workflows and expose secure APIs.

Ideal candidates have a BS in CS/IS/Data Analytics or equivalent practical experience, with hands-on experience in API-led connectivity and data integration. Collaboration and clear progress communication are essential.