Data Engineer • Lead

Who you are

You have extensive experience in data engineering, particularly with building and managing data pipelines that support business intelligence and reporting needs. Your expertise includes working with tools such as Snowflake and dbt, and you are comfortable with both AWS and GCP environments. You understand the importance of data quality and have a strong background in ETL/ELT processes, ensuring that data flows seamlessly from source to destination.

You are proficient in using data visualization tools like Tableau and Looker, enabling you to create insightful dashboards that drive data-driven decision-making. Your experience with orchestration tools such as Airflow allows you to automate workflows efficiently, ensuring timely data availability for stakeholders. You thrive in collaborative environments, working closely with data analysts and other team members to design scalable solutions that meet business requirements.

You are detail-oriented and possess strong problem-solving skills, allowing you to troubleshoot and optimize data processes effectively. Your ability to communicate complex technical concepts to non-technical stakeholders is a key asset, as you help bridge the gap between data engineering and business functions. You are passionate about leveraging data to drive business outcomes and are eager to contribute to a team that values innovation and efficiency.

Desirable

Experience with additional data tools and platforms is a plus, as is familiarity with data governance and compliance standards. You are open to learning new technologies and methodologies that can enhance the data engineering processes at Tide.

What you'll do

In this role, you will be responsible for designing, developing, and implementing end-to-end data pipelines that support various business functions at Tide. You will collaborate with data analysts to understand their requirements and translate them into scalable data solutions. Your work will involve building robust ETL/ELT processes that ensure data integrity and availability for reporting and analytics.

You will leverage your expertise in Snowflake and dbt to create efficient data models and transformations, enabling the business to derive insights from data quickly. Your role will also include monitoring and optimizing data workflows using Airflow, ensuring that data is processed in a timely manner and meets the needs of the organization.

As a Lead Data Engineer, you will mentor junior team members, sharing your knowledge and best practices to foster a culture of continuous learning and improvement. You will participate in cross-functional meetings to align data initiatives with business goals, ensuring that the data engineering team contributes effectively to Tide's mission of transforming small business banking.

What we offer

Tide offers a dynamic work environment where innovation is encouraged, and your contributions will have a direct impact on the success of the company. You will be part of a diverse team that values collaboration and creativity, working together to solve complex challenges in the small business banking sector. We provide opportunities for professional growth and development, ensuring that you can advance your career while making a meaningful difference in the lives of our members.

Join us at Tide, where you will play a crucial role in shaping the future of small business banking through data-driven solutions. We are committed to supporting your career aspirations and providing a workplace that fosters inclusivity and respect.