Data Engineer, Officer

State Street

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Quincy, MA
Salary
$70,000–$118,750 / yr
Posted
23 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $94k
$53k most similar roles pay here $232k

This role pays less than 98% of similar roles. Most pay $126,800–$214,800 — the shaded band above. At the midpoint, this role pays about $94k versus about $171k 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 Engineer, Officer

Data Engineer, Officer - State Street Investment Management joins the Data, Analytics & AI Services team to support the investment management business through architecture, engineering execution, and modernization strategy. This role involves designing, developing, and maintaining data pipelines, robust workflows, and ingestion solutions while building Iceberg and Unity Catalog based tables for consistent analytical access. The engineer will develop containerized applications for APIs and streaming using Docker, manage CI/CD pipelines via Jenkins, Artifactory, and GitHub, and utilize AI code generation tools like GitHub Copilot or Anthropic Code to accelerate development. Key technical requirements include proficiency in Python, PySpark, SQL, Databricks, Snowflake, and AWS or Azure cloud platforms. The role focuses on building Lakehouse platforms and managing both structured and unstructured data within a complex investment management environment.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Design, develop, test, and maintain data pipelines using Python, PySpark, and SQL.
  • Build and manage robust data ingestion and transformation solutions using Databricks and Snowflake.
  • Develop containerized applications for API, event-based, streaming, and batch processing using Docker.
  • Create Iceberg and Unity Catalog based tables to ensure consistent performance across multiple compute engines.
  • Design and maintain CI/CD pipelines using tools such as Jenkins, Artifactory, and GitHub.
  • Translate business requirements from product owners and analytics teams into technical solutions.
  • Utilize AI code generation tools like GitHub Copilot or Anthropic Code to accelerate development and improve quality.

What we're looking for

  • Master’s degree in Computer Science or a related engineering discipline.
  • 6-10 years of technology experience with a focus on Data Engineering.
  • 5+ years of hands-on experience building data pipelines on cloud platforms.
  • Proficiency in Python, Spark, SQL, Databricks, and Snowflake to design, debug, and optimize distributed data processing.
  • Experience building Lakehouse platforms using Snowflake and Databricks on AWS or Azure.
  • Experience with CI/CD processes, Git, Docker, and modern Data Platform Architecture.
  • Familiarity with AI-assisted development tools like GitHub Copilot, Codex, or Anthropic tools.
  • Previous experience in financial institutions, familiarity with governance frameworks, or a Databricks certification (preferred).

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