Position Summary
We are looking for a highly motivated and highly potential entry level Engineer to join our Data team to make big business impacts and grow your career.
This is a really exciting time to be in the Data team at WEX. Wex has sophisticated business and products empowering a wide variety of customer businesses. Data generated from these production systems, applications, and platforms are rich and complex. As one of the most valuable assets of Wex, the data provides huge potential values for our customers and business. It’s the Data team’s responsibility to build big data technology, platforms, systems, and tools to clean, process, enrich, and optimize the core company data, and make them easy and efficient to use to enable Wex customers and internal teams to generate customer and business values. We build value added data products for Wex customers too. We develop and leverage advanced technologies from the industry to ensure our efficiency and effectiveness, including modern big data technologies and AI technologies. We use agile development with the combined engineering approach and the product operating model.
We have challenging problems with huge business impact potentials for you to work on and grow. We also have a strong team with highly talented and skillful engineers and leaders to support, guide, coach you.
If you dream to be a strong engineer who can solve tough problems, generate big impacts, and grow fast, this is a great opportunity for you!
Responsibilities:
Collaborate with partners/stakeholders to learn about our customers’ business and key challenges.
Learn and practice design, test, code, and instrument new data products/systems/platforms/pipelines at small to medium complexity level.
Learn ways to effectively measure, inspect, and drive decisions using data.
Learn and develop and maintain CI/CD automation using tools such as GitHub Actions.
Learn and implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
Practice software development with TDD and BDD, Microservice and event oriented Architectures.
Learn to use data and/or AI technology or tools in solutions you design/develop for more effective business outcomes and better customer experience as well as in your design & and development work for high productivity and better solution quality.
Learn and analyze data to understand customer/business problems and build effective solutions.
Eager to learn and explore new technology and innovative approach to improve effectiveness and productivity.
Learn to support live data products/systems/platforms/pipelines, promote proactive monitoring including high data quality, rapid incident response, and continuous improvement through automation.
Learn to analyze data, existing systems and processes to identify bottlenecks and opportunities for improvements.
Learn from your peers, foster continuous learning of new technology within your team and organization.
Learn our team’s process and best practices, and apply them to given tasks with help from peers and your manager. Make sure to understand customer/business problems you try to solve with these tasks, and your design and implementation can actually solve these problems in an effective, reliable, and sustainable way.
Partner with team members in development and problem solving.
Take a strong ownership and be proactive.
Proactively seek reviews from senior engineers on your work to ensure quality.
Learn and build reliable, secure, high quality, efficient, and easy to use big data platforms and tools at scale for supporting all kinds of data transferring, ingestion, processing, serving, delivery, consumption, and data governance needs.
Learn and build systems, platforms, data pipelines, and tools for E-2-E data life cycle, including data ingestion, cleaning, processing, enrichment, optimization, and serving by leveraging the Data platform. It’s our responsibility to deliver high quality, rich, easy to understand & use data for external and internal purposes. For these, you will learn and build data quality measurement & monitoring techniques and systems, metadata and data catalog, Master Data Management, etc.
Learn and master common big data technologies, tools, and software packages, including proper integrations with Wex systems and proper execution in an engineering way.
Learn data modeling techniques and use them to design/implement efficient and easy to use data models and structures.
Required Qualifications:
Bachelor's degree in Computer Science, Software Engineering, or related field.
OR demonstrable equivalent deep understanding, experience, and capability.1 year of experience in software engineering is a plus.
Strong problem-solving skills, excellent communication and collaboration skills.
Highly self motivated and eager to learn. Always watching out for new technologies and adopting appropriate ones for improving your productivities as well as the quality & effectiveness of your deliverables. E.g. proactively explore GenAI technology and tools for increasing your work productivity and quality, as well as building innovative products/systems for your customers.
Capable of designing a good solution for a small/medium scale problem or component.
Strong implementation skills using Python, including coding, automated testing, measurement and monitoring.
Passionate and interested in data, big data technology, cloud technology.
Passionate about understanding and solving customer/business problems.
Some understanding of data ingestion, cleaning, processing, enrichment, serving, quality assurance techniques and tools, such as data pipeline development, SQL & relational algebra, DBs, ELT is a plus.
Some knowledge of data warehousing concepts and dimensional modeling is a plus.
ETL tools (DAGs, Airflow etc...)