Senior Data Engineer

Role: Senior Data Engineer - Credit Data Analytics
Type: Direct Full Time (Hybrid)
Location options:

• Charlotte, NC, US
• Dallas, TX, US
• East Hartford, CT, US
• Providence, RI, US
• Stamford, CT, US
• Wilmington, DE, US

Salary: USD $140,000 – $160,000 per year


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.

Duties:
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.

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