Data Engineer • Mid-Level

Who you are

You have a solid background in data engineering, with experience in building and maintaining reliable data pipelines using tools like PySpark and SQL. Your proficiency in Python allows you to write clean, tested code and read existing codebases effectively. You understand the importance of standardization and best practices in data engineering, ensuring that solutions are scalable and easy to maintain.

You thrive in collaborative environments, working closely with engineers, analysts, and product teams to deliver data solutions that meet diverse use cases. Your experience with AWS and Databricks equips you to contribute to the development and scaling of a company-wide Data Lake, operating at petabyte scale. You are eager to learn and experiment with new tools and methodologies in modern data engineering.

What you'll do

As a Data Engineer at Emplifi, you will be part of a dynamic team responsible for building and operating the data platform that supports key functions across the company. You will focus on developing and maintaining reliable data pipelines for both batch and streaming data, ensuring that data flows seamlessly from various sources, including APIs, file systems, and databases. Your role will involve contributing to internal tooling, such as schema registries, to enhance workflows and improve efficiency.

You will collaborate with cross-functional teams to deliver data solutions that drive product insights and customer analytics. Your responsibilities will include writing clean, tested code, participating in code reviews, and adhering to industry-standard tooling and best practices. You will also have the opportunity to learn and experiment with new technologies, continuously improving your skills and contributing to the team's success.

What we offer

At Emplifi, we foster a workplace where everyone is valued and respected. We encourage applications from individuals of all backgrounds and experiences. You will have the opportunity to grow your expertise in a supportive environment, working alongside talented professionals who are passionate about data engineering. We offer competitive compensation and benefits, along with a culture that promotes collaboration and innovation.