Software Engineer I
Job Description
Position: Software Engineer I
Location: Houston, TX?
Position details: Contract?(W2)
Job Description
We are seeking a Software Engineer to work closely with business analysts and technical teams to design, develop, and support data-driven solutions in a fast-paced commercial environment. This role combines software engineering, data analytics, and stakeholder collaboration to deliver scalable applications, analytical tools, and visualization solutions that support business decision-making.
Key Responsibilities
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Partner with analysts and stakeholders to understand business requirements and develop effective technical solutions.
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Build and maintain scalable, reliable, and reusable software components and frameworks.
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Develop data-driven applications and analytical tools using modern technologies.
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Create interactive dashboards and visualization solutions to support business insights.
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Provide day-to-day technical support and promote software engineering best practices.
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Contribute to shared libraries, tools, and frameworks used across global teams.
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Collaborate with architecture and infrastructure teams?to ensure alignment with technology standards and strategies.
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Develop and integrate solutions with databases, APIs, and cloud-based services.
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Follow software development best practices, including testing, version control, and deployment automation.
Required Qualifications
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Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering, or a related technical discipline.
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Strong hands-on Python programming experience with recent coding experience.
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Proficiency with Python libraries such as Pandas, NumPy, and Jupyter.
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Experience writing clean, maintainable, production-quality code.
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Strong understanding of Object-Oriented Programming (OOP) principles and design patterns.
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Experience with SQL and relational database systems.
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Knowledge of REST APIs and web service integrations.
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Familiarity with cloud platforms, preferably AWS.
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Experience with version control systems such as Git.
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Understanding of unit testing, CI/CD pipelines, and software development lifecycle practices.
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Strong analytical, problem-solving, and mathematical skills.
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Excellent communication and stakeholder management abilities.
Preferred Qualifications
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Experience with data visualization tools such as Power BI, Plotly, or Dash.
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Familiarity with Dataiku or similar data science platforms.
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Exposure to machine learning, forecasting, optimization, or statistical modeling techniques.
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Knowledge of scientific Python libraries such as Scikit-learn, SciPy, and Statsmodels.
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Experience working with large-scale data analytics environments.
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Interest in user experience (UX) and user-focused application development.
Ideal Candidate
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Actively codes in Python and is comfortable with technical assessments.
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Has experience building production-ready applications rather than only performing data analysis.
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Can design scalable, efficient, and maintainable software solutions.
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Enjoys collaborating with business users to solve complex technical challenges.
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