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Software Engineer, Data Platforms

McLean, VA, United States

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? In this role, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.

We are seeking Software & Data Engineers who are passionate about marrying data with emerging technologies. You’ll have the opportunity to be on the forefront of building a modern enterprise data platform that powers over $60 billion in annual transaction volume for over 100 million active payment cards for one of the largest credit card issuers in the world.

Basic Qualifications:

Bachelor’s Degree in Computer Science, Information Technology, Engineering, or a related field.

Minimum of 5 years of software development experience, with a proven track record in designing, developing, and maintaining enterprise-grade applications.

Real-world experience in designing and implementing GraphQL APIs, including schema design, resolvers, and performance optimization.

Extensive knowledge of at least one server-side programming language (e.g., Java, Python, Go).

Solid understanding of database technologies, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, DynamoDB), including schema design, query optimization, and connection pooling.

Understanding of microservices architecture principles, patterns, and best practices.

Experience with cloud services (AWS preferred), including serverless architectures, container orchestration (e.g., Kubernetes), and cloud-native development practices.

Familiarity with security best practices, including OAuth, JWT, data encryption, and secure coding principles.

Experience with CI/CD pipelines using tools like Jenkins, GitLab CI, or GitHub Actions.

Strong understanding of agile methodologies, including Scrum or Kanban.

Ability to work effectively in a team environment, collaborating with other engineers, product managers, and stakeholders.

Excellent verbal and written communication skills.

Preferred Qualifications:

Experience with Rust: experience in developing with Rust for performance-critical backend systems is highly desirable.

Master’s or higher in Computer Science, Information Systems, or a related field.

Data Engineering experience including ETL processes, data warehousing, and big data technologies (e.g., Hadoop, Spark).

Experience with RESTful API design and development alongside GraphQL.

Familiarity with machine learning algorithms and practices is a plus.

Prior experience in the financial services industry, particularly with regulatory and compliance standards (e.g., GDPR, SOX, PCI-DSS), is highly valued.

Leadership Experience: Experience leading projects or mentoring junior engineers.

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