Application Engineer (Full Stack)

Discover will not sponsor or transfer employment work visas for this position.  Applicants must be currently authorized to work in the United States on a full-time basis.

Responsible for contributing deliverables for data-driven infrastructure through scalable, reusable, high-quality code. Leads the design and development of technical solutions that have significant strategic, long-term impact on the business and achieves competitive advantage for Discover. Actively manages and escalates risk and customer-impacting issues within the day-to-day role to management.

Responsibilities

• Actively engage in data design and architectural reviews for infrastructure and tools that enhance engineering productivity and efficiency
• Utilize multiple development languages/tools such as Python, Java to build prototypes and evaluate results for effectiveness and feasibility.
• Adopt and influence domain driven design and architecture principles of security, scale, uptime and reliability
• Operationalize open-source data-analytic tools for enterprise use.
• Develop real-time data ingestion and stream-analytic solutions leveraging technologies such as Kafka, Apache Spark, Python/Java.
• Custom Data pipeline development (Cloud and locally hosted)
• Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.
• Provide subject matter expertise in the analysis, preparation of specifications and plans for the development of data processes.
• Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.
• Analyze, design, code, test, and deploy new user stories and product features with high quality (security, reliability, operations) to production. Understands the software development lifecycle and leverages critical thinking skills to properly evaluate features and functionality.
• Guides early-career engineers by providing learning tasks as well as work related tasks, directs the work of emerging talent, and helps them continue to grow in their technical skillset through mentorship.
• Has an oversight on application, system, and architecture design decisions and guides team to achieve key results for products assigned to them.
• Remediates issues using engineering principles and creates proactive design solutions for potential failures to ensure high reliability of technical solutions.
• Achieves team commitments (and influence others to do the same) through collaboration with other engineers, architects, product owners and data scientists.
• Contributes to and leads technology communities of practice at Discover in areas of design-thinking, tools/technology, agile software development, security, architecture and/or data.
• Creates and enforces IT standards within the system/application infrastructure and compatibility with the architecture of the platform.

Minimum Qualifications

At a minimum, here’s what we need from you:

• Bachelors degree in Computer Science, Engineering, Informatics, Information Security, Information Technology, or related
• 3+ years of experience in Information Technology, (Software) Engineering, or related
• Internal applicants only: technical proficiency rating of competent on the Dreyfus engineering scale

Preferred Qualifications

If we had our say, we’d also look for:

• 2+ years of hands-on Python, SQL and JavaScript experience; PostgreSQL knowledge is a bonus
• Strong experience with DevOps, CI/CD pipelines with Jenkins, or similar; Git/GitHub; Artifactory
• A desire to write tools and applications to automate work rather than do things manually
• Foundational understanding of software programming, such as HTML, CSS, and JavaScript
• Experience implementing Continuous Integration and Delivery processes
• Experience with microservices, containers, and/or Kubernetes
• Strong experience with Database Management; Snowflake MPP experience a plus
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scalability) on new and current systems.
• Experience developing, deploying and maintaining large-scale Cloud-native solutions
• Experience building data pipelines to ingest data into data lake

External applicants will be required to perform a technical interview

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