• Software Engineer - Data

    Insight Global (Austin, TX)


    Job Description

    We are seeking a Data Software Engineer with a strong background in building data-driven solutions that deliver actionable insights for a robotics client. This role combines software engineering expertise with data manipulation and automation skills to optimize performance and enable intelligent decision-making across our robotics platforms.

     

    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

    Key Responsibilities

    • Design, develop, and maintain data pipelines and software systems to process and analyze large-scale robotics data.

    • Create tools and frameworks for automation and orchestration using Kubernetes.

    • Implement robust data models and storage solutions leveraging MySQL and PostgreSQL.

    • Collaborate with robotics engineers and data scientists to transform raw data into actionable insights.

    • Optimize algorithms and workflows for real-time and batch data processing.

    • Ensure scalability, reliability, and security of data systems in production environments.

    • Required Technical Skills

    • Programming Languages: Python, C+• Containerization & Orchestration: Kubernetes

    • Databases: MySQL, PostgreSQL

    • Data Manipulation & ETL: Advanced experience in data wrangling and transformation

    • Automation: Building automated workflows and deployment pipelines

    • Strong understanding of distributed systems and cloud-native architectures Preferred Qualifications

    • Experience in robotics or IoT environments

    • Familiarity with machine learning workflows and data visualization tools

    • Knowledge of CI/CD practices and DevOps principles