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Today we are hiring a Remote/Hybrid- Senior Data Engineer - Credit Data Analytics for our client in Charlotte, NC.

In this workplace one of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. Were devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

This banker believes both in the importance of working together and offering flexibility to their employees. They use a multi-faceted approach for flexibility, depending on the various roles in their organization.

Working at this bank will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference with their banking facility.

Job Description:

This job is responsible for driving data engineering efforts to deliver enterprise-wide capabilities and complex data solutions. Key responsibilities include directing code design and delivery tasks associated with the integration, cleaning, transformation, and control of data in operational and analytical data systems and working with the Project Management team to define outcomes and inform work structures. Job expectations include providing technical thought leadership by implementing complex data solutions and interactions across multiple systems and domains.

Responsibilities:

The Corporate Audit and Credit Review (CACR) analytics & automation team delivers data-driven, risk-based insights and automation solutions to the CACR organization. The Senior Data Engineer role will be responsible for developing and implement a range of analytics and automation solutions, including data extraction, analysis, reporting, and dashboard design, but could include more advanced analytics including statistical analysis, text mining & NLP, and modeling/machine learning/AI. This role demands interaction with highly experienced audit and/or credit professionals, data experts and technology. Intellectual curiosity will drive critical thinking to produce optimal solutions. Strong time management, coordination, communication, and presentation skills are a must in this role.

Assembles large, complex data sets that meet functional and non-functional requirements, ensuring that the design and engineering approach is consistent across multiple systems

Maintains, improves, cleans, and manipulates large data for operational and analytics data systems, builds complex processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management, and communicates required information for deployment, maintenance, and support of business functionality

Utilizes multiple architectural components in the design and development of client requirements and collaborates with development teams to understand data requirements and ensure the data architecture is feasible to implement

Defines and builds data pipelines to enable data-informed decision making, ensuring adherence to release processes and risk management routines

Contributes to existing test suites including integration, regression, and performance, analyzes test reports, identifies any test issues and errors, and leads triage of underlying causes

Leads the identification of gaps in data management standards adherence and works with appropriate partners to develop plans to close gaps, leading concept testing and conducting research to prototype tool-sets and improve existing processes

Mentors Data Engineers in the delivery and release of continuous integration and continuous delivery events and defines key performance indicators and internal controls

Utilizes sound, seasoned analytical skills to independently develop analytics & automated testing solutions using a variety of tools (Alteryx, Tableau, etc.) and programming languages (SQL, SAS, Python, etc.)

Supports the design and execution of new analytics, automated testing tools, and models

Responsible for multiple projects simultaneously, ensuring each one is completed on time and efficiently with a high standard of work

Coordinates, schedules, scopes, and leads large, cross-functional analytics & automation activities

Exercises judgment, critical thinking, and sound communication skills to influence business partners

Coaches/trains junior team members in execution of analytics and automation activities

Managerial Responsibilities:

This position may also have responsibilities for managing associates. At our bank, all managers at this level demonstrate the following responsibilities, in addition to those specific to the role, listed above.

Diversity & Inclusion Champion: Models an inclusive environment for employees and clients, aligned to company D&I goals.

Manager of Process & Data: Demonstrates deep process knowledge, operational excellence and innovation through a focus on simplicity, data based decision making and continuous improvement.

Enterprise Advocate & Communicator: Communicates enterprise decisions, purpose, and results, and connects to team strategy, priorities and contributions.

Risk Manager: Ensures proper risk discipline, controls and culture are in place to identify, escalate and debate issues.

People Manager & Coach: Provides inspection, coaching and feedback to motivate, differentiate and improve performance.

Financial Steward: Actively manages expenses and budgets in alignment with objectives, making sound financial decisions.

Enterprise Talent Leader: Assesses talent and builds bench strength for roles across the organization.

Driver of Business Outcomes: Delivers results by effectively prioritizing, inspecting and appropriately delegating team work.

Skills:

Analytical Thinking

Application Development

Data Management

Risk Management

Solution Design

Agile Practices

Architecture

Collaboration

Decision Making

DevOps Practices

Business Acumen

Data Quality Management

Financial Management

Solution Delivery Process

Test Engineering

Required Skills

Intermediate to advanced knowledge of one or more of the following: SQL, SAS, Alteryx, Python, Tableau or related tools

Advanced skills in Microsoft Excel

Advanced analytic skills that demonstrate the ability to navigate systems, access data, reconcile numbers from different sources, identify discrepancies and trends, and understand drivers of changes within data

Strong track record of implementing automated solutions related to data & analytics, including the ability to extract, organize, and present the data in user-friendly reports, dashboards or tools

Ability to work both independently or in teams on multiple projects simultaneously to deliver timely and complete solutions under minimal supervision

Strong written and oral communication skills, with ability to communicate with both technical and executive audience

Desired Skills:

Experience with one or more of the following a plus: model development, machine learning / artificial intelligence, and data science

Experience with one or more of the following a plus: DataRobot, Instabase, and UIPath