Mid Software Engineer - Data

5 days ago

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WEX

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Fleet payments • Heathcare payments • Travel payments • Virtual payments • Corporate payment solutions

5001 - 10000

💰 $310M Post-IPO Debt on 2020-06

Description

• WEX Inc. is a leading global provider of payment processing services, information management, and fleet card payment solutions. • Our goal is to use technology to make electronic payments as simple and as seamless as possible. • Our team consists of small, agile development teams focused on building state of the art solutions using the best technology available. • We focus on cloud-based microservice solutions to help achieve fast, scalable results that allow our business partners to compete in our competitive marketplace. • Our team of professionals works hard, has a continuous growth mindset, and maintains a work-life balance that is a cultural cornerstone of the WEX organization. • We own our results and take pride in ownership in everything we do.

Requirements

• Problem-solving mindset: Ability to troubleshoot and resolve complex data pipeline issues • Strong communication skills: Capable of articulating technical concepts to non-technical stakeholders • Collaboration: Experience working in cross-functional teams, including data analysts, data scientists, and software engineers • Continuous Learning: Commitment to staying updated on industry trends, best practices, and new technologies • Some experience DBT (Data Build Tool): Experience in developing, testing, and deploying data transformation workflows using DBT • Airflow: Solid knowledge in building, scheduling, and maintaining data pipelines using Apache Airflow • DAG Management: Proven experience in designing, implementing, and optimizing Directed Acyclic Graphs (DAGs) within Airflow • SQL Mastery: Advanced SQL skills, with the ability to write complex queries and optimize performance for large datasets. • Data Modeling: Experience with data warehousing concepts, dimensional modeling, and ETL processes • Cloud Platforms: Hands-on experience with cloud-based data platforms (e.g., AWS, GCP, or Azure) for data storage, processing, and orchestration • Programming Skills: Proficiency in Python for scripting and automation, especially within the context of data pipelines and Airflow DAGs. • Solid of experience as a Data Engineer or in a related role with a focus on data pipeline development and orchestration • Proven track record of working with DBT, Airflow, and DAGs in a production environment • Experience with version control systems (e.g., Git) for collaborative development and deployment of data transformations • Experience with a modern microservice framework (,NET, Spring, etc.) • Knowledge of CI/CD processes for automated testing and deployment of data pipelines.