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Job Highlights
AI-extracted key information
The Data Engineer at Mercari is responsible for designing, building, and operating ETL pipelines at scale, automating processes related to data products and machine learning. The role involves developing APIs and tools, providing technical solutions using Big Data technologies, and creating technical design documents.
Salary Range
$211k - $240k/year
Experience Level
Senior Level
Benefits & Perks
Education Requirements
bachelor degree
Data Engineer
Posted 3 weeks ago
Full-Time
Employment Type
Remote
Work Location
USD210,746 - USD240,000
YEAR
About This Role
POSITION:
Data Engineer
JOB DUTIES:
Design, build, and operate ETL pipelines at scale. Automate processes related to data products and machine learning products. Design data structure for data products. Build knowledge graphs, flow charts, and system diagrams for problem analysis. Develop and operate API/tools related to data products and machine learning products. Provide technical solutions using Big Data technologies and create technical design documents. Design and develop Data Platform using Python, Spark, and BigQuery. Build Devops platform for Continuous Integration/Continuous deployment stack for ETL applications teams. Profile, debug, and optimize apps. Remote work permitted within the U.S. only.
OURS:
40 hours per week, Monday through Friday
SALARY:
Zone 1: $210,746.00 - $240,000.00
Zone 2: $210,746.00 - $216,000.00
Zone 3: $210,746.00
LOCATION:
Mercari, Inc., 3000 El Camino Real, Suite 5-150, Palo Alto, CA 94306
REQUIREMENTS
M
Ain Requirement
Bachelor of Science degree in Computer Science or closely related field of study and five (5) years of experience as a Data Engineer, Data Specialist, or related occupation where required experience gained.
Special Skills
Also Requires Five (5) Years Of Experience In The Following
Confluence;
JIRA;
GIT;
CI/CD pipelines;
Agile methodologies;
Java;
Python;
Data Modeling or Data Warehouse;
ETL: Apache Airflow;
Container: Docker or Kubernetes;
API: gRPC, Tensorflow Serving, or Flask (REST);
Database: MySQL, Postgres, Oracle, SqlServer, or Google Spanner;
Distributed Processing: Apache Beam or Apache Spark;
Machine Learning: Tensorflow, Keras, or Scikit-Learn, etc.; and
Cloud: Google Cloud (BigQuery, Google Dataflow, or Google Dataproc, etc.).
CONTACT:
Email resume to us
_
jobs@mercari.com. Please insert job code 26001, job title, and location on resume.
*Zone 1 includes locales such as the San Francisco Bay Area and New York City
**Zone 2 includes locales such as Austin, Boston, Los Angeles and Seattle
***Zone 3 includes locales such as Denver, St. Louis, and Houston
Total Rewards
Flexibility: Work remote from anywhere in the US and receive flexible time off
Wellbeing: Top-notch insurance plans, best-in-class new parent offerings and access to mind and body wellness apps
Growth: As we grow, your career opportunities grow, we provide access to new tools, technologies and learning opportunities
Comprehensive and total rewards: We provide a strong financial foundation and rewards that go beyond the paycheck
Teamwork: We are each other's biggest fans- we celebrate from virtual coffee breaks to recognition programs
Compensation
$210,746 - $240,000
Annual salary
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