Junior Python Developer | Data Analytics & Web Applications

Are you a student, recent graduate, or early-career developer who enjoys building tools that solve real problems? Aquent is partnering with a leader in autonomous mobility to find a Program Tooling & Analytics Developer to build internal web applications, interactive dashboards, and data-driven tools that support important business decisions. You'll work with Python, SQL, and modern development frameworks to turn complex datasets into useful, actionable insights. Your work will help teams evaluate potential service areas, track program milestones, and make informed decisions about future fleet deployment.

About the Opportunity

Our client is developing next-generation autonomous transportation technology and is seeking an early-career developer to join its Program Management Office (PMO). You'll work directly with technical program managers and engineering teams to build tools that solve real business challenges.

This is a hands-on opportunity to take ownership of projects from initial concept through development and delivery. You'll gain practical experience working with real-world datasets, building user-facing applications, and incorporating feedback from the teams using your tools.

This is a contract opportunity designed for students, recent graduates, and early-career professionals. It is not a traditional internship and does not include a structured internship program or guaranteed pathway to permanent employment.

What You Will Do

• Build and maintain internal web applications, interactive dashboards, and data visualization tools using Python and modern development frameworks.
• Collaborate with technical program managers and engineering teams to translate business questions into practical software solutions.
• Develop SQL queries, data transformations, and automated pipelines to support accurate, up-to-date reporting.
• Build and enhance geospatial tools that analyze and compare potential autonomous vehicle service areas.
• Create intuitive interfaces that make complex technical and operational data accessible to business stakeholders.
• Work with large, sometimes incomplete datasets, identifying data quality issues, limitations, and areas requiring further validation.
• Use AI-assisted development tools to accelerate coding, testing, and iteration while maintaining code quality.
• Gather user feedback and continuously improve applications to meet evolving business needs.

What You Bring (Required)

• Currently enrolled in or recently completed a BS or MS in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
• Hands-on experience developing web applications, dashboards, or interactive data tools through coursework, internships, research, or personal projects.
• Strong Python programming skills and working knowledge of SQL.
• Experience building user interfaces using React, TypeScript, Streamlit, Dash, Flask, or similar frameworks.
• Familiarity with data visualization libraries such as Plotly, D3, or comparable tools.
• Experience using generative AI coding tools, such as Claude Code, with the ability to review, test, and validate generated code.
• Understanding of software development fundamentals, including Git, code reviews, and writing clean, maintainable code.
• Ability to work with incomplete or inconsistent datasets and recognize potential data quality issues.
• Strong communication and problem-solving skills, including the ability to explain technical findings to nontechnical audiences.
• Ability to work onsite in Foster City, CA, initially four days per week, with potential flexibility as the assignment progresses.

Bonus Skills & Experience (Nice-to-Have)

• Familiarity with geospatial analysis and mapping tools such as GeoPandas, Shapely, OSMnx, H3, deck.gl, Mapbox, Leaflet, or QGIS.
• Experience working with geographic datasets or open mapping resources such as OpenStreetMap or Overture Maps.
• Exposure to data engineering, large-scale processing, or business intelligence tools such as Databricks, PySpark, Tableau, or Looker.
• Knowledge of routing algorithms, graph analysis, or transportation networks.
• Interest or experience in autonomous vehicles, robotics, mapping, transportation technology, or mobility data.
• Experience developing tools or applications that other people actively use.

Additional Program Details

• Location: Foster City, CA
• Work Arrangement: Hybrid, initially four days onsite per week, with potential flexibility later.
• Schedule: Flexible, with part-time options for students balancing coursework and full-time opportunities for candidates with greater availability.
• Duration: A minimum commitment of six months is preferred.
• Employment Type: Contract assignment, not a traditional internship.
• Confidentiality: Contractors must protect proprietary company information and may not use or disclose confidential information in academic research, theses, publications, or presentations.
• Interview Process: Hiring manager interview followed by a panel interview that includes a coding assessment.