Data Engineer

Allspring Global Investments Holdings, LLC • Charlotte, NC

21h • $110,000 - $130,000 • Hybrid

About The Position

Allspring is seeking a Data Engineer II to join the Allspring Engineering and Technology Platform Data team, which is responsible for Investments and Operations Data. The Data Engineer is responsible for the end-to-end design, development, testing, and deployment of data pipelines. They will 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. This role operates in a hybrid working model, requiring 4 days per week in the office. The position is located in Charlotte, NC.

Requirements

• 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
• 3+ years of investment management industry 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

Nice To Haves

• 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 resolve problems.
• Self-starter with the ability to acquire new concepts and skills quickly.

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.

Benefits

• Participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level