Senior Data Engineer - On-Site in San Francisco

Methodic; San Francisco (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

Methodic is looking for a full-time Data Engineer in San Francisco, CA. This position will focus on designing and managing data pipelines that manage the platform's information effectively. Responsibilities include maintaining database schemas, optimizing data pipelines, and implementing best practices for data management.

The ideal candidate will have over 4 years of experience in data engineering, strong SQL skills, and familiarity with big data technologies such as Kafka and Hadoop. Collaboration with cross-functional teams is essential to drive data-driven decisions.

Qualifications

• 4+ years of experience in a data engineering role.
• Strong proficiency in SQL with relational database experience.
• Familiarity with big data or NoSQL technologies like Kafka or Hadoop.

Responsibilities

• Design and maintain database schemas and data models.
• Build and optimize data pipelines for data processing.
• Implement ETL processes to integrate data from external sources.

Skills

SQL proficiency

Data modeling

ETL pipelines

Big data technologies

Data visualization tools

Communication skills

Tools

PostgreSQL

MySQL

AWS Glue

Airflow

Job description

Methodic is looking for a full-time Data Engineer in San Francisco, CA. This position will focus on designing and managing data pipelines that manage the platform's information effectively. Responsibilities include maintaining database schemas, optimizing data pipelines, and implementing best practices for data management.

The ideal candidate will have over 4 years of experience in data engineering, strong SQL skills, and familiarity with big data technologies such as Kafka and Hadoop. Collaboration with cross-functional teams is essential to drive data-driven decisions.