Data Engineer

Job role: Senior Data Engineer

Location: Arlington, VA (Hybrid 3 days office) Locals only

Need w2 consultants and must have 12+ years experience need

must have banking experience and only locals

Job Overview:
We are looking for an innovative software engineering lead who will lead the technical design and development of an Analytic Foundation. The Analytic Foundation is a suite of individually commercialized analytical capabilities (think prediction as a service, matching as a service or forecasting as a service) that also includes a comprehensive data platform. These services will be offered through a series of APIs that deliver data and insights from various points along a central data store. This individual will partner closely with other areas of the business to build and enhance solutions that drive value for our customers.
Position Responsibilities:
As a Sr. Data Engineer, you will:

• Lead the scoping, design and implementation of complex features
• Lead and push the boundaries of analytics and powerful, scalable applications
• Design and implement intuitive, responsive UIs that allow issuers to better understand data and analytics
• Build and maintain analytics and data models to enable performant and scalable products
• Ensure a high-quality code base by writing and reviewing performant, well-tested code
• Mentor junior software engineers and teammates
• Drive innovative improvements to team development processes
• Partner with Product Managers and Customer Experience Designers to develop a deep understanding of users and use cases and apply that knowledge to scoping and building new modules and features
• Collaborate across teams with exceptional peers who are passionate about what they do

Ideal Candidate Qualifications:

• 5+ years of full stack engineering experience in an agile production environment
• Experience leading the design and implementation of large, complex features in full-stack applications
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience leveraging open source tools, predictive analytics, machine learning, Advanced Statistics, and other data techniques to perform analyses
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Impala, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Experience coaching and mentoring junior teammates
• Experience leading a large technical effort that spans multiple people and teams
• Proficiency with Java/Spring Boot, .NET/C#, React, Redux, Typescript, and SQL Server or other object-oriented languages, front-end frameworks, and/or relational database technologies
• Strong technologist with proven track record of learning new technologies and frameworks
• Customer-centric development approach
• Passion for analytical / quantitative problem solving
• Experience identifying and implementing technical improvements to development processes
• Collaboration skills with experience working with people across roles and geographies
• Motivation, creativity, self-direction, and desire to thrive on small project teams
• Superior academic record with a degree in Computer Science or related technical field
• Strong written and verbal English communication skills

Data & Services:

• The Data & Services team is a key differentiator for our client, providing the cutting-edge services that are used by some of the world's largest organizations to make multi-million dollar decisions and grow their businesses.
• Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base.
• Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services.

Targeting Analytics Program:

• Within the D&S Technology Team, the Targeting Analytics program is a relatively new program that is comprised of a rich set of products that provide accurate perspectives on Credit Risk, Portfolio Optimization, and Ad Insights.
• Currently, we are enhancing our customer experience with new user interfaces, moving to API-based data publishing to allow for seamless integration in other client products and externally, utilizing new data sets and algorithms to further analytic capabilities, and generating scalable big data processes.

• Engineers work in small, flexible teams. Every team member contributes to designing, building, and testing features. The range of work you will encounter varies from building intuitive, responsive UIs to designing backend data models, architecting data flows, and beyond. There are no rigid organizational structures, and each team uses processes that work best for its members and projects.

Here are a few examples of products in our space:

• Portfolio Optimizer (PO) is a solution that leverages clients' data assets and analytics to allow issuers to identify and increase revenue opportunities within their credit and debit portfolios.
• Audiences uses anonymized and aggregated transaction insights to offer targeting segments that have high likelihood to make purchases within a category to allow for more effective campaign planning and activation.
• Credit Risk products are a new suite of APIs and tooling to provide lenders real-time access to KPIs and insights serving thousands of clients to make smarter risk decisions using client s data.
• Help found a new, fast-growing engineering team