Our client, a Internet Content & Information company, is looking for a Software Engineer IV for their Menlo Park, CA/Hybrid location.
Responsibilities:
We are seeking a Software Engineer to support data processing and application development initiatives.
The ideal candidate will be responsible for building reliable web-scraping scripts, optimizing data workflows with SQL, and delivering high-quality, maintainable code in a collaborative engineering environment.
Design and deploy efficient Python scripts to parse and download large-scale web datasets.
Construct and optimize complex SQL queries for downstream data processing and analytics.
Author clean, performant, and well-maintained code adhering to established software engineering standards.
Participate actively in peer code reviews and drive continuous improvement in development best practices.
Diagnose, troubleshoot, and resolve software defects to ensure high system reliability and performance.
Maintain comprehensive technical documentation to support application sustainability.
Communicate technical updates and collaborate effectively with cross-functional stakeholders and team members.
Key Projects/Day-to-Day:
Key projects - Scalable web-scraping/download scripts; complex SQL for analytics pipelines; defect resolution and reliability improvements; technical documentation.
Purpose/Size of this team & where does this position fit within the team: Build and maintain data-processing pipelines and applications; turn large-scale web data into reliable, query-ready datasets for downstream analytics
Certain project that team is working on / what products are they supporting Web-scraping/ingestion scripts, SQL query optimization for downstream processing, and improving code quality/reliability. (Inferred — confirm specifics.)
What makes this role attractive to top talent, and what unique value does it offer to the ideal candidate: Ownership of end-to-end data pipelines, strong engineering-standards culture, exposure to cloud/DevOps/ML-adjacent work
Value added or experience gained: Deep large-scale data engineering, Python + SQL mastery, cloud and CI/CD exposure, foundation toward data/ML engineering.
Requirements:
Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline.
6+ years of professional experience in software engineering.
Advanced proficiency in Python development.
Strong practical experience operating within Linux environments and writing shell scripts.
Solid proficiency in constructing and optimizing SQL queries.
Proven problem-solving capabilities, analytical acumen, and rigorous attention to detail.
Demonstrated ability to deliver results both independently and within collaborative project teams.
Experience contributing to large-scale software development initiatives.
Preferred Qualifications:
Master’s degree in Computer Science or a related technical field.
Demonstrated experience in web scraping and processing large-scale datasets.
Hands-on experience with cloud infrastructure platforms (e.g., AWS, GCP, Azure).
Familiarity with DevOps methodologies, CI/CD, and infrastructure tools.
Foundational understanding of data analytics and machine learning concepts.
Minimum Years of Experience: 6+
Must-Have Skills:
Advanced Python
SQL query building & optimization
Linux + shell scripting
Nice-to-Have Skills:
Web scraping / large-scale data processing
Cloud platforms (AWS/GCP/Azure)
DevOps / CI/CD tooling
Degrees/Certifications required — Bachelor's in CS, Software Engineering, or related technical field. preferred — Master's in CS or related technical field.