Data Architect

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Education and Experience

We are seeking a Data Engineer to join our team at Clip. The ideal candidate will have a B.S. in Computer Science or a related field, or equivalent experience.

The successful candidate will have a minimum of 2-3 years of experience working with data in various environments.

Key Responsibilities

The Data Engineer will work as part of a team developing in Python using Agile development methods.

The candidate will contribute to team and organizational improvements in process and infrastructure.

The Data Engineer will work in the Data team and with the Architecture and DevOps teams to design and build efficient and fault-tolerant data pipelines.

The candidate will create and populate data lakes and data warehouses to facilitate data analysis and data science projects.

The Data Engineer will effectively use tools and ingenuity to identify and fix defects before they become a problem.

Technical Requirements

The ideal candidate will have skills and experience in using SQL, proficiency in Python and/or Java, and proficiency in object-oriented methodologies, Agile development, design patterns, unit testing, and other software engineering principles and processes.

Experience with AWS tools such as Redshift, Athena, Lambda, and Kinesis is a plus.

The candidate will have experience with developing data pipelines, data lakes, and data warehousing solutions.

Experience with or a desire to learn Apache Spark is also desirable.

At Clip, we are committed to a diverse and inclusive workplace. We do not discriminate based on origin, gender, gender identity, sexual orientation, race, disability, age, or other legal status. Clip is an equal opportunity employer.

If you are unstoppable, creative, and have the skills we need, we want to hear from you.

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