(*) This is a remote position; however, the candidate must reside within 30 miles of one of the following locations: Boston, MA; Chicago, IL; San Francisco Bay Area, CA; and Portland, ME.
About the Team/Role:
We are looking for a highly motivated and potential senior Engineer to join our Data team to make significant business impacts and grow your career.
This is an 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 systems, applications, and platforms are rich and complex. As one of the most valuable assets of WEX, the data provides huge potential value for our customers and business. The Data team's responsibility is to build big data technology, platforms, systems, and tools to clean, process, enrich, and optimize the core company data, making it easy and efficient for WEX customers and internal teams to generate customer and business value. We build value-added data products for WEX customers too. We develop and leverage advanced technologies to ensure our efficiency and effectiveness, including modern big data and AI technologies. We use agile development with a combined engineering approach and the product operating model.
We have challenging problems with huge business impact potential for you to lead, work on, and grow. We also have a strong team with highly talented engineers and leaders to support, guide, and coach you.
If you dream of being a strong engineer who can solve tough problems, lead, generate big impacts, and grow quickly, this is a great opportunity for you!
How you'll make an impact:
- Collaborate with partners/stakeholders to learn about our customers' business and key challenges.
- Design, test, code, and instrument new data products/systems/platforms/pipelines at medium to large complexity level.
- Effectively measure, inspect, and drive decisions using data.
- Develop and maintain CI/CD automation using tools such as GitHub Actions.
- Implement Infrastructure as Code (IaC) using tools like Terraform, including provisioning and managing cloud-based data infrastructure.
- Perform software development with TDD and BDD, Microservice and event-oriented Architectures.
- Support live data products/systems/platforms/pipelines, promote proactive monitoring including high data quality, rapid incident response, and continuous improvement.
- Analyze data, existing systems, and processes independently to effectively identify bottlenecks and opportunities for improvements.
- Mentor and learn from your peers, fostering continuous learning of new technology within your team and organization.
- Help in interviews and provide quality and timely feedback.
- Apply our team's processes and best practices to given tasks with help from peers and your manager. Understand customer/business problems you try to solve with these tasks.
- Partner with, assist, or lead team members in development and problem solving.
- Lead a scrum team with proper agile development practices, ensuring high quality and timely development and delivery that effectively solve target problems.
- Own medium/large complex components or systems/products/platforms.
- Participate and lead technical discussions.
- Design and build high-quality and efficient systems with craftsmanship.
- Independently & productively complete work at medium/large complexity level and proactively seek reviews from senior engineers on your work to ensure high quality.
- Proactively identify and communicate dependencies.
- Review work from peers and provide constructive feedback/comments.
- 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.
- Build systems, platforms, data pipelines, and tools for E-2-E data life cycle, including data ingestion, cleaning, processing, enrichment, optimization, and serving.
- Use data modeling techniques to design/implement efficient and easy-to-use data models and structures.
- Become a subject matter expert in your functional area and best practices.
- Assess unique circumstances and apply creative problem-solving techniques to resolve issues or suggest various approaches.
- Use data and/or AI technology or tools in your design and development for high productivity and better solution quality.
Experience you'll bring:
- Bachelor's degree in Computer Science, Software Engineering, or related field, or demonstrable equivalent experience.
- Master or PhD degree in Computer Science (or related field) and 2+ years of experience in software engineering or 4+ years of experience in software engineering at a large scale, with experience in data system/platform development.
- A technically deep, innovative, empathetic, and passionate technical leader able to act and deliver to the business needs.
- 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.
- Rich experience in designing high-quality, performant, and efficient solutions for medium/large complex level problems.
- Rich experience and good understanding of CI/CD automation.
- Experienced in combined engineering practice and agile development.
- Proficient in languages like Java, C#, Golang, & Python, including coding, automated testing, measurement, and monitoring.
- Good understanding of data processing techniques, such as data pipeline/platform development, SQL, and databases.
- Experienced in data ingestion, cleaning, processing, enrichment, serving, and quality assurance techniques and tools.
- Experienced in cloud technology, such as AWS and Azure.
- Good understanding of data warehousing and dimensional modeling.
- Passionate about understanding and solving customer/business problems.
- Understanding of data governance is a plus.
Preferred Qualifications:
- Experience in using Informatica Cloud for Streaming and API ingestion.
- Experience in building Data pipelines for various architectures like Datalakes, Data Lakehouse, and Data warehouse.
- Extensive experience in data engineering, including data pipeline development, SQL, and database management.
The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market-competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the 'About Us' section. Pay Range: $117,000.00 - $156,000.00
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