Data Engineer

Allspring Global Investments Holdings, LLC; Charlotte (NC); Hybrid; USD 110,000 - 130,000; Full time

Job summary

Allspring Global Investments Holdings, LLC in Charlotte, NC is seeking a Data Engineer II to design, build, test, and deploy end-to-end data pipelines within the Engineering and Technology Platform Data team.

You will mentor contractors, conduct code reviews, support L2/L3 production incidents, and collaborate with data stewards, product managers, and developers in a hybrid in-office model requiring 4 days on site.

Qualifications

• Bachelor’s degree with 5+ years or Master’s degree with 3+ years in CS or related field.
• 5+ years of Proficient/advanced SQL experience.
• 5+ years of experience with IDMC (Informatica Data Management Cloud) in Data Integration.
• 5+ years of Python or C# development experience.
• 3+ years of Snowflake experience.
• 3+ years of AWS Cloud or other cloud platform experience.
• 3+ years of investment management industry experience.
• Proven experience with Agile development and CI/CD DevOps.
• Strong verbal and written communication skills.
• Understand data and lineage to source systems.

Responsibilities

• Architect, design, develop, test, and deploy data pipelines end to end.
• Build relationships with Data Stewards, tech teams, PMs, Scrum managers, developers, and data users.
• Collaborate with experts to resolve complex technical issues and achieve goals.
• Perform code reviews and optimize performance; manage contractors and junior engineers.
• Participate in on-call rotation for L2/L3 production support and incident resolution.

Skills

SQL

IDMC

Python/C#

AWS Cloud

Investment management

Agile/SDLC

Communication

Problem solving

Jira/Confluence

Data lineage

Education

Bachelor’s degree in CS or related field

Master’s degree in CS or related field

Tools

Autosys

GAW

Jira

Confluence

Job description

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
• 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

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

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.

Compensation

Base Pay Range: $110,000 - $130,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

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Disclosure

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status