Junior Developer

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Part Time North Sioux City, SD, US

2 days ago Requisition

Title: Junior Developer

Reports to: Vice President of Operations

Location: North Sioux City, SD/Hybrid or Remote as Approved

Employment Type: Part-Time

Job Description: Sterling Computers is a technology company that provides IT solutions to federal government, state and local government, education, and commercial customers. Sterling’s Strategic Technologies Group focuses on learning, implementing, and supporting emerging technologies that improve how the company sells, delivers, manages, and automates solutions. We are looking for a part-time developer with hands‑on experience in Mule Soft, Databricks, Data
360, APIs, and Python. This role will support integration, automation, and data enablement initiatives across Sterling’s internal systems, including Salesforce, Data Cloud/Data
360, Databricks, and related business applications. The ideal candidate is comfortable building practical, well‑documented solutions that move data reliably, expose secure APIs, automate workflows, and help the business turn data into useful operational insights.

Required Education/Experience

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field preferred; candidates currently pursuing a relevant degree or with equivalent practical experience will also be considered.
• Experience supporting business users, gathering requirements, and translating needs into technical solutions.
• Mule Soft, Salesforce, Databricks certifications are a plus.

Required Technical

Skills:

• Experience developing integrations using Mule Soft Anypoint Platform, Data Weave, APIs, and related integration patterns.
• Working knowledge of Databricks, including notebooks, SQL, data pipelines, and data engineering workflows.
• Experience with Salesforce Data Cloud/Data
  360 concepts, including data streams, harmonized data models, calculated insights, and governed data access.
• Strong Python development skills for automation, data processing, API integration, and scripting.
• Experience designing, consuming, testing, and troubleshooting RESTful APIs.
• Understanding of authentication, secure data handling, logging, error handling, and API performance considerations.
• Ability to work with structured and unstructured data from systems such as Salesforce, databases, documents, and external data sources.
• Familiarity with SQL, JSON, XML, and common data transformation practices.
• Self‑motivated, detail‑oriented, and able to work independently in a part‑time capacity while communicating progress clearly.

Qualifications:

• Hands‑on experience building and maintaining integrations between enterprise systems, especially Salesforce, Mule Soft, Databricks, and data platforms.
• Strong understanding of API‑led connectivity, reusable integration patterns, and secure API design.
• Ability to write clean, maintainable Python code for automation, data transformation, and system integration tasks.
• Comfort working with Databricks for data engineering, analytics support, and pipeline development.
• Familiarity with Data
  360/Data Cloud concepts such as data ingestion, harmonization, calculated insights, and governed reporting layers.
• Ability to troubleshoot data movement, API failures, mapping issues, authentication errors, and integration performance concerns.
• Strong documentation habits, including technical designs, data mappings, API specifications, and operational support notes.
• Effective communication skills and ability to collaborate with technical and non-technical stakeholders.
• Positive, professional attitude with a willingness to learn new tools and adapt as Sterling’s technology stack evolves.

Responsibilities:

• Design, build, test, and maintain Mule Soft integrations, APIs, and data flows that connect Sterling’s business systems.
• Develop Python scripts and services to automate data processing, system integration, reporting support, and operational workflows.
• Support Databricks‑based data engineering activities, including notebooks, SQL queries,…