Data Engineer

Overview

Allspring is seeking a Data Engineer II to join Allspring Engineering and Technology Platform Data team (Responsible for Investments and Operations Data) team. The Data Engineer is a responsible for end-to-end design, development, testing, and deployment of data pipelines; collaborate with business and technology stakeholders to resolve complex issues; conduct code reviews and optimize performance; mentor and lead other data engineering contractor resources; and support L2/L3 production incidents through on-call rotations and end-to-end issue resolution.

Overview

Allspring is seeking a Data Engineer II to join Allspring Engineering and Technology Platform Data team (Responsible for Investments and Operations Data) team. The Data Engineer is a responsible for end-to-end design, development, testing, and deployment of data pipelines; collaborate with business and technology stakeholders to resolve complex issues; conduct code reviews and optimize performance; mentor and lead other data engineering contractor resources; and support L2/L3 production incidents through on-call rotations and end-to-end issue resolution.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.

Location(s): Charlotte, NC

Responsibilities

• Architect, design, develop, test, and deploy data pipelines end to end.
• Build strong relationships with Data Stewards, technology teams, Product Managers, Scrum managers, Developers, and other data consumers.
• Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals.
• Perform code-reviews, identify opportunities to optimize the performance across all areas and be able to manage contractors, and other data engineers including less experienced and analyst level graduate engineers.
• Participate in the on-call rotation for L2/L3 production support escalation and own the end-to-end incident management and issue resolution.

Qualifications

Required Qualifications

• Bachelor’s degree with 5+ years or Master’s degree with 3+ year’s experience in CS or other technology related field.
• 5+ years of Proficient/advanced SQL experience
• 5+ years of strong experience in architecting, designing, and delivering solutions using IDMC (Informatica Data Management Cloud) – primarily in Data Integration (CDI, CMI, CAI)
• 5+ years of Python or C# development experience
• 3+ years of snowflake experience
• 3+ years of AWS Cloud or any other cloud platform experience
• Proven experience with Agile development and SDLC using CI/CD devops principles.
• Strong verbal and written communication skills.
• Strong problem solving, troubleshooting skills.
• Proficient/advanced knowledge of Autosys and GAW as well as Jira and Confluence
• Understand the data and the lineage to source systems by deeply understanding our internal and external clients and industry.
• Remain in stationary position for prolonged periods of time
• Operate computer programs and software
• Ability to communicate effectively with audiences in person and in electronic formats
• Day-to-day contact with others (co-workers and/or public)
• Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred Qualifications

• 5+ years of SQL experience
• 3+ years of investment management industry experience
• Prior experience in modernizing data pipelines from on-prem to cloud is highly desirable.
• Any exposure with Data Management frameworks such as DMBOK is a huge plus.
• Strong organizational and time management skills with the ability to manage multiple responsibilities and tasks simultaneously.
• Demonstrate critical thinking skills with the ability to quickly recognize and reso