Senior Data Engineer in Charlotte, NC
Posted 12/27/22
  • Top 25 U.S. digital financial services company committed to developing award-winning technology and services.
  • Named one of the top three fastest-growing banking brands in the U.S. in 2020.
  • Offers a full suite of products including mortgage lending, personal lending, and a variety of deposit and other banking products (savings, money-market, and checking accounts, certificates of deposit (CDs), and individual retirement accounts (IRAs)), self-directed and investment-advisory services, and capital for equity sponsors and middle-market companies.
  • Where permitted by applicable law, must have received or be willing to receive the COVID-19 vaccine by date of hire to be considered.
  • Fast paced, highly collaborative, teamwork-oriented environment
  • Make an immediate impact in this high visibility role
  • Ability to drive change within the organization with a focus on advancement in technology and programs
  • Top-notch leadership committed to developing people
  • Be the subject matter expert for data, pipeline design, architecture, and other data engineering technologies for the team
  • Owns the technical vision and development of a domain or capability
  • Acts as strong advocate for a culture of quality and pushing the boundaries of platform
  • Leads team to utilize new frameworks/technologies to improve an existing process or service. Brings fresh perspective based on research and latest industry standards.
  • Help to define the technical direction of the team and drive the actual architecture/design/implementations to enhance an ever-expanding data platform, that supports business process needs for internal and external integration via APIs, data models, self-serve reporting solutions, and interactive querying
  • High-level and low-level design of real time and batch system interfaces and data enrichment pipelines in a cloud-native data ecosystem
  • Promoting and enforcing design and development standards and best practices
  • Lead development initiatives and team from technical perspective by mentoring team members and contributing towards code base
  • Work with the latest and greatest technologies in the Microsoft cloud stack including Azure SQL, Synapse, Data Lake, Data Factory, Databricks, Azure function, Service Bus, etc


  • Bachelor's degree in Computer Science, Information Systems, similar technical field of study or equivalent practical experience
  • 5+ years of strong data engineering experience, 2+ years of Cloud Data Engineering experience
  • Experience working with cloud technologies such as Azure (Preferred), AWS or GCP
  • Hands on experience with SQL and Python or other object-oriented programming language
  • Solid understanding of real-time & batch data processing, data pipelines, transformation and modeling using traditional and distributed systems
  • Experience with developing and architecting data ingestion models, ETL jobs, and alerting to maintain high availability and data integrity
  • Strong knowledge of DevOps pipeline creation, maturity, and operations
  • Strong requirements gathering and design abilities
  • Experience with development of test automation framework for unit, functional and integration tests around data pipelines


  • Employee Type: Contract
  • Location: Charlotte, NC
  • Category: Information Technology
  • Date Posted: 12/27/22
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