Data Engineer

Allspring Global Investments
Charlotte, NC, United States
18 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$110,000.0 - $130,000.0
Working hours
Regular working hours

Tech stack

Agile Methodology Amazon Web Services CA Workload Automation Ae C Sharp (Programming Language) Cloud Computing Data Integration DevOps Python (Programming Language) Scrum Methodology Systems Development Life Cycle SQL Databases Sql Optimization
+4 more
Snowflake Atlassian Tools Data Management Data Pipelines

Job description

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.

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, * 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.

Benefits & conditions

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.)

LI-AM1

LI-Hybrid

Disclosure

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on diversityjobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · WWC Europe 2026

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · WWC Europe 2026

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · WWC 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all