Software Engineer, Data

Mercari, Inc.

Software Engineer building scalable GCP data infrastructure for Mercari’s online marketplace. Developing pipelines, data models, quality tests, and engineering practices while mentoring junior engineers.

Posted 8/21/2026full-timePalo Alto • California • 🇺🇸 United StatesMid-LevelSenior💰 $146,000 - $219,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing scalable data pipelines using GCP services, with a strong focus on data quality, performance, and cost efficiency. Proven ability to mentor junior engineers and contribute to architectural decisions while leveraging AI tools to enhance workflows.

Highest-signal resume keywords

GCP Data ServicesData Pipeline OptimizationData ModelingPython ProgrammingCI/CD Pipeline Setup

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringData Quality TestingETL ProcessesData Optimization TechniquesSQL ProgrammingTypescript ProgrammingBigQueryDataformDataflowPub/Sub

Soft Skills

MentoringCollaborationConstructive FeedbackTechnical Documentation

Tools & Technologies

AirflowAI ToolsDevelopment Tools

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Data ScienceBachelor's Degree in Engineering

Industry Keywords

Data ProcessingData StorageHyperscalersBusiness Problem Solving

Tech Stack

Tools & technologies

AirflowAWSAzureBigQueryETLGoogle Cloud PlatformPythonSQLTypeScript

About the role

Key responsibilities & impact

Design, develop, and maintain scalable data pipelines using GCP services such as Dataform, BigQuery, and Airflow
Optimize data processing and storage for performance and cost efficiency
Write comprehensive data quality tests to ensure data reliability
Collaborate with data teams to implement complex data models
Develop reusable data components and shared libraries
Mentor junior engineers and provide constructive code review feedback
Contribute to technical documentation and architectural decisions
Leverage AI tools and technologies to improve workflows, processes, and efficiency
Apply development tools, including AI assistance, to deliver quality code efficiently

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience)
4+ years of experience in data engineering
Experience with GCP data services, including BigQuery, Dataform, Dataflow, and Pub/Sub
Experience setting up CI/CD pipelines for data processing
Experience optimizing data pipeline performance and cost
Experience with data modeling and ETL processes
Strong understanding of GCP or other hyperscalers, including AWS and Azure
Strong knowledge of data optimization techniques
Programming experience in Python, SQL, or Typescript
Strong understanding of how data is applied to solve business problems

Benefits

Comp & perks

Flexible time off
Work from home and the office, depending on need
Access to new tools, technologies, and learning opportunities
Recognition programs
Top-notch insurance plans
New parent offerings
Mind and body wellness apps
Financial rewards beyond the paycheck