Senior Data Engineer-Onsite

State Street

Hybrid

Quick summary

Work type: Hybrid
Location: Quincy, MA
Salary: $90,000–$157,500 / yr
Posted: 2 days ago
Closes: Jul 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $181k

This role $124k

$74k most similar roles pay here $241k

This role pays less than 94% of similar roles. Most pay $144,350–$217,725 — the shaded band above. At the midpoint, this role pays about $124k versus about $181k 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 63 open roles on FindRole.

Listed pay typically runs $120,000–$177,500 across 62 roles with salary data.

Most-posted roles

View all roles at State Street

At a glance

TL;DR · Senior Data Engineer-Onsite

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We are seeking a Senior Data Engineer to join our team at State Street, focusing on delivering cloud-native data warehouse solutions for Fund Accounting clients. This role involves designing and building end-to-end data pipelines using Azure, Snowflake, DBT, and Apache Airflow, supporting both batch and near real-time processing needs. You will develop scalable ETL processes, automate jobs, optimize performance, and address critical application issues. The ideal candidate has 7+ years of experience in cloud-based data platforms, with expertise in Snowflake, PL/SQL, and Azure services. Strong hands-on skills in microservices architecture, DevOps pipelines, and Snowflake utilities such as Snowpipe and Zero Copy Clone are essential. Experience in financial services, particularly fund management, is highly desirable, along with a background in database development and agile methodologies.

Skills

Snowflake Azure PL/SQL DBT Apache Airflow Cosmos DB Kubernetes Docker Microservices API/Event Driven Architecture DevOps JSON XML Oracle SQL Server Scala Databricks Agile Development Methodology

What you'll do

Design and build end-to-end data pipelines for batch and real-time processing.
Develop scalable data solutions using Azure, Snowflake, DBT, and Apache Airflow.
Implement automation of jobs and testing in cloud-based infrastructure.
Optimize Snowflake performance through query tuning and resource management.
Support mission-critical applications with near-real-time data requirements.
Address data issues by conducting root cause analysis and implementing fixes.

What we're looking for

7+ years of professional database and data warehouse development experience.
Strong expertise in Snowflake, Azure, PL/SQL, and cloud-based infrastructure.
Hands-on experience in designing, developing, and deploying scalable data pipelines.
Proficiency in DBT for data modeling and Apache Airflow for workflow orchestration.
Expertise in optimizing Snowflake performance through query tuning and resource management.
Bachelor’s Degree in computer science or a related IT field.

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