Senior Data Engineer- Arlington, VA (Hybrid - 3 days office) - Locals only : Only w2

Job role: Senior Data Engineer (w2 only)
Location: Arlington, VA (Hybrid 3 days office) Locals only
Duration: 6 months+

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 client'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