Data Engineer

Allspring is seeking a Data Engineer II to join the Allspring Engineering and Technology Platform Data team, responsible for Distribution, Marketing, Product, and 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 position supports L2/L3 production incidents through on-call rotations and end-to-end issue resolution. We operate in a hybrid working model, requiring in-office work 4 days per week.

Location(s): Charlotte, NC, or Milwaukee, WI

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, and 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.

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 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.
• Legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications

• 3+ years of working with Autosys or similar orchestration frameworks.
• 3+ years of working with S3 or similar object storage technologies.
• Experience working with Salesforce CRM & Salesforce Data Cloud.
• Experience working with reporting and analytics engines like Tableau, Kyvos, and Salesforce CRMA.
• Experience working with Salesconnect, Salesvision, or similar data aggregators.
• Strong business knowledge of the Distribution domain in the asset management industry in US and global markets.

Pay

Base Pay Range: $95,000 - $115,000. Actual base salary may vary based on relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include participation in an incentive program linked to performance (e.g., annual discretionary bonus programs or other annual/non-annual incentive or sales plans).