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Job Description

A customer of Insight Global is looking for 2 skilled and motivated Software Engineers to join our data engineering team in supporting a large-scale, cloud-native data infrastructure. This role is ideal for someone passionate about building scalable systems, automating workflows, and integrating

cutting-edge technologies into data pipelines. The pay rate ranges based on years of experience between $55-65/hour.

Key Responsibilities:

• Design, develop, and maintain robust data engineering pipelines using orchestration

tools (similar to Apache Airflow or Azure Data Factory).

• Implement automation for common support tasks using API triggers and eventdriven architectures.

• Integrate prompt engineering and LLM configurations into data workflows.

• Deploy and manage containerized applications using Kubernetes in cloud

environments (Azure preferred).

• Monitor and optimize pipeline performance, ensuring reliability and scalability.

• Prioritize InfoSec and AppSec

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

3+ years of experience in software engineering or data engineering roles.

• Hands-on experience with at least some of the following:

o Cloud platforms (Azure preferred, AWS or GCP acceptable).

o Kubernetes and container orchestration.

o Data pipeline orchestration tools.

o Prompt engineering and LLM configuration (e.g., OpenAI, Azure OpenAI).

o Automation using APIs and scripting (Python, PowerShell, etc.).

o Databricks.

• Understanding of CI/CD practices and DevOps principles.

• Excellent problem-solving and communication skills • Experience with Azure services such as Cosmos DB.

• Familiarity with data governance, security, and compliance in cloud environments