Mastercard

Software Engineer I

Seattle, WA US
USD 83k - 132k
Machine Learning Spark Scala API Java AWS DynamoDB
Description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Software Engineer I

About Mastercard

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion (https://www.mastercard.us/en-us/vision/who-we-are/diversity-inclusion.html) for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Overview
Ekata, a Mastercard company, is the global standard in identity verification, providing businesses worldwide the ability to link any digital transaction to the human behind it. Our Ekata Identity Engine, the first and only of its kind, uses complex machine learning to combine features derived from the billions of transactions within our proprietary network and the data from our graph to deliver industry leading risk assessment solutions.

We are looking for a Software Engineer I to work in our Seattle office who has experience on designing, coding, and maintaining large data processing systems, primarily in the Spark framework using Scala. Our ideal candidate will understand the challenges of working with data at scale and have a knowledge of algorithms and processing complexity.
Our team is a mix of software engineers and data analysts working to ensure our inputs, algorithms, and publishing artifacts are of the highest quality and efficiency. Our output is critical to the accuracy of our Risk Analysis APIs which power top e-commerce sites. Constant improvement and innovation is designed into our process. Your ability to learn and grow will be recognized and rewarded.

As a Software Engineer I for the Graph and Tools Team, you will:

• Own software delivery tasks (code development, test, deployment) at an application/software component level using Scala, Java, Apache Spark, Airflow, AWS and related technologies.
• Participate in team prioritization discussions with Product/Business stakeholders
• Able to troubleshoot and refactor existing code. Increase the capabilities and efficiency of our data processing pipeline. Investigate problems when they occur and develop solutions.
• Work with project team to meet scheduled due dates, while identifying emerging issues and recommending solutions for problems and independently perform assigned tasks. Participate in on-call pager support rotation.
• Contribute ideas to help ensure that required standards and processes are in place and actively look for opportunities to enhance standards and improve process efficiency.
• Demonstrate active learning and sharing of software practices via Guild/Engineering community initiatives


Our ideal Software Engineer will have:
• Bachelor's degree in Computer Science or equivalent experience
• Experience with Scala, Java, or other strongly typed languages
• Familiarity with AWS services including EC2, S3, DynamoDB, and EMR
• Familiar with secure coding standards (e.g., OWASP, CWE, SEI CERT)
• Understands and implements standard branching (e.g., Gitflow) and peer review practices
• Knowledge of data storage and processing systems and web service APIs
• Strong data structures, algorithm design, and problem-solving skills
• Understands Continuous Integration (CI) and Delivery (CD) concepts, and capabilities to support automation, pipelines, virtualization, and containerization
• Understands and builds test code at unit level, service level, and integration level to ensure code and functional coverage
• Aptitude to learn new languages and technologies as necessary
• Must be high-energy, detail-oriented and proactive with the ability to function under pressure in an independent environment.
• Strong communication skills -- both verbal and written.
#AI
#SecuritySolutions

Annual Compensation
Total Base Pay Range
83,000.00 - 132,000.00 USD Annual

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard’s security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

In line with Mastercard’s total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary based on location, experience and other qualifications for the role and may be eligible for an annual bonus or commissions depending on the role. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance), flexible spending account and health savings account, paid leaves (including 16 weeks new parent leave, up to 20 paid days bereavement leave), 10 annual paid sick days, 10 or more annual paid vacation days based on level, 5 personal days, 10 annual paid U.S. observed holidays, 401k with a best-in-class company match, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, eligibility for tuition reimbursement, gender-inclusive benefits and many more.

Pay Ranges

Seattle, Washington: $83,000 - $132,000 USD

Mastercard
Mastercard
Finance Financial Services Information Technology Payments

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