Data Engineer

Catalyst Summit; San Francisco (CA); Hybrid; USD 100,000 - 136,000; Full time

Job summary

Catalyst Summit, a dynamic software company specializing in data-driven solutions, is seeking a Data Engineer in San Francisco, CA. This full-time role is crucial in leveraging data to drive business decisions and enhance our products.

You will design, build, and maintain data pipelines, collaborate with data scientists and analysts to support our data infrastructure, and optimize data processing workflows for improved efficiency and performance.

Qualifications

• Bachelor's degree in a relevant field.
• Several years of data engineering experience.
• Experience designing data pipelines.

Responsibilities

• Design, build, and maintain data pipelines.
• Collaborate with data scientists and analysts.
• Optimize data processing workflows for efficiency.
• Coordinate with cross-functional teams to meet deadlines and budgets.

Skills

SQL

Python

Data pipelines

Big data

Education

Bachelor's degree

Tools

Hadoop

Spark

AWS

GCP

Job description

Catalyst Summit, a dynamic software company specializing in data-driven solutions, is seeking a Data Engineer to . in San Francisco, CA. This full-time role is crucial in leveraging data to drive business decisions and enhance our products.

As a Data Engineer, you will design, build, and maintain data pipelines, collaborate with data scientists and analysts to support our data infrastructure, and optimize data processing workflows for improved efficiency and performance.

You will be part of a collaborative team in San Francisco, CA, working in a modern and efficient office environment that fosters creativity and innovation. We value teamwork and strive to create a positive and productive work environment.

The annual salary for this position ranges from $100,000 to $135,610, with the exact amount dependent on experience and performance. Benefits are not specified, but typically include health insurance, retirement plans, and possibly other perks like paid time off and professional development opportunities. The role requires a bachelor's degree in a relevant field and several years of experience in the industry. Employees will be responsible for managing projects, coordinating with cross-functional teams, and ensuring tasks are completed on time and within budget. The workplace is typically an office environment, but may include remote work options. Essential tools for the role include project management software, communication platforms, and data analysis tools. The position demands strong organizational skills, attention to detail, and the ability to work under pressure.

To excel in this role, you should have a strong background in data engineering, a proven track record of designing and implementing data pipelines, proficiency in SQL and Python, and experience with big data technologies such as Hadoop, Spark, or similar frameworks. Familiarity with cloud platforms like AWS or GCP is a plus.

Designing and implementing data pipelines, optimizing data processing workflows, collaborating with data scientists and analystsStrong background in data engineering, proficiency in SQL and Python, experience with big data technologies