Data Engineer

Allspring Global Investments Holdings, LLC • Milwaukee, WI

3d • $95,000 - $115,000 • 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 Distribution, Marketing, Product & Corporate Data. The role requires strong hands-on data engineering skills, business engagement capabilities, and the ability to deliver solutions independently. The ideal candidate will bring asset and/or wealth management experience, strong technical expertise, and a passion for building reliable, scalable data products. This role will also support L2/L3 production incidents through on-call rotations and end-to-end issue resolution. The company operates in a hybrid working model, requiring employees to work in-office 4 days per week.

Requirements

• Bachelor’s degree or higher in MIS, Computer Science, Engineering, or another technology related field.
• 5+ years of hands-on data engineering experience, ideally within financial services or asset and/or wealth management, with strong knowledge of industry products and preferably the Distribution domain.
• 5+ years of Proficient/advanced SQL experience in Oracle, AWS Aurora or similar relational databases.
• 5+ years of strong experience in architecting, designing, and delivering solutions using IDMC (Informatica Data Management Cloud) or equivalent platforms
• 3+ years of experience of building data products in Snowflake.
• 3+ years of AWS Cloud or any other cloud platform experience
• Ability to use GitHub Copilot or similar coding agents effectively and responsibly as part of the software development lifecycle.
• Experience with AUM, flows, holdings, positions, securities master, client reporting, CRM, or distribution data domains.
• Understanding of financial instruments, investment vehicles, and sales/distribution reporting.
• Experience integrating with REST APIs, SaaS platforms, event-driven architectures, and external vendor data sources.
• Understanding of data lineage, metadata management, data cataloging, and governance practices
• Proven experience with Agile development and SDLC using CI/CD devops principles.
• Ability to independently manage assigned work from requirements gathering through implementation, testing, deployment, and production support.
• Ability to communicate effectively with business and technical audiences in person and through electronic formats.
• Ability to work effectively in a collaborative business environment with changing priorities and varying interruptions.
• Remain in stationary positions 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

• 3+ years of working with Autosys or similar Orchestration frameworks.
• 3+ years pr working with s3 or similar Object storage technologies.
• Experience working with Salesforce CRM & Salesforce Data Cloud
• Experience of working with reporting and analytics engines like Tableau, Kyvos and Salesforce CRMA.
• Experience of working with Salesconnect, Salesvision or similar data aggregators.
• Strong Business knowledge of Distribution domain in asset management industry in US and global markets.

Responsibilities

• Partner directly with stakeholders across Distribution, Sales, Marketing, Corporate, and Finance to gather and clarify business requirements, translate them into technical designs, and implement effective data solutions.
• Work as a hands-on member of the Distribution Data team, collaborating with senior data engineers, architects, analysts, and business partners to deliver high-quality data products.
• Design, develop, test, deploy, and support efficient data ingestion, transformation, and integration pipelines using industry-standard tools and technologies.
• Develop and optimize database solutions, data models, SQL queries, stored procedures, and data processing workflows across Snowflake, Oracle and AWS environments.
• Build maintainable Informatica Data Management Cloud(IDMC), Snowflake, AWS Aurora, Oracle, Python, Autosys based data engineering solutions, including automation, validation, orchestration, and data quality controls.
• Use GitHub Copilot or similar coding agents responsibly to accelerate development, testing, documentation, and code review while maintaining engineering quality and security standards.
• Monitor production data pipelines and resolve data issues, performance bottlenecks, and operational incidents in a timely manner.
• Partner with Business Intelligence teams to deliver high-quality, trusted data across Salesforce CRMA, Tableau, and Kyvos, enabling effective reporting and analytics.
• Collaborate with the broader Platform and Data Operations team to continuously enhance the Data Management toolkit, leveraging technologies such as IDMC, Snowflake, AWS Aurora, Iceberg, Autosys, and Datadog.
• Advance AI adoption across the team to improve operational efficiency and support strategic outcomes.

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