Data Integration Engineer, AVP

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Burlington, MA
Salary
$90,000–$157,500 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $165k
This role $124k
$76k most similar roles pay here $217k

This role pays less than 82% of similar roles. Most pay $126,800–$203,150 — the shaded band above. At the midpoint, this role pays about $124k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About State Street

State Street Corporation is one of the world''s largest custodian banks and asset managers, providing investment servicing, investment management, and investment research to institutional investors. Industry: Financial Services & Asset Custody

State Street currently has 176 open roles on FindRole.

Listed pay typically runs $120,000–$202,500 across 172 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Data Integration Engineer, AVP

As a Data Integration Engineer, AVP, you will join the engineering team to design, build, and evolve data integration capabilities for the Next-Gen Data Platform within the State Street Alpha ecosystem. You will develop cloud-native, scalable, and resilient services using microservices and serverless architectures like Azure Functions while managing mission-critical enterprise integrations. Your daily work involves building APIs for batch, near-real-time, and event-driven data ingestion and transformation workflows. You will utilize Java, SQL, Pentaho Kettle, and Talend to support existing frameworks while developing new features. The role requires expertise in Microsoft Azure, Snowflake, and distributed systems to solve complex problems regarding data quality and integration. You will also perform code reviews, write automated tests, and provide technical guidance within an agile environment to ensure the reliability of high-performance, production-critical financial data systems.

What you'll do

  • Design, develop, and maintain large-scale, cloud-native data integration services using microservices and serverless patterns like Azure Functions.
  • Build and enhance APIs for batch, near-real-time, and event-driven data ingestion and transformation workflows.
  • Develop, test, and debug software primarily using Java and SQL within a distributed system environment.
  • Support and maintain existing internal Java-based import/export frameworks and Talend-based enterprise integration solutions.
  • Perform code reviews and provide technical guidance on design and implementation decisions for the data platform.
  • Write unit, integration, and automation tests to ensure high quality and reliability of production systems.
  • Troubleshoot and resolve issues in mission-critical, cloud-based production environments including root-cause analysis.
  • Create and maintain technical documentation, design artifacts, and operational runbooks for internal teams.

What we're looking for

  • A B.S. degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field is required.
  • An M.S. degree is preferred.
  • 4–8 years of professional software engineering experience is required.
  • Experience designing and developing cloud-native services, preferably on Microsoft Azure.
  • Hands-on experience with microservices architectures, serverless technologies, and event-driven systems.
  • Strong proficiency in Java and solid experience with SQL and data-intensive applications.
  • Knowledge of modern data integration architectures, CI/CD pipelines, and automated testing frameworks.
  • Experience with Azure services, containerization (Docker, Kubernetes), or Snowflake is preferred.

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