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