Data Analytics Engineer

Northern Trust

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$114,500–$194,700 / yr
Posted
50 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $165k
This role $155k
$104k most similar roles pay here $213k

This role pays less than 58% of similar roles. Most pay $126,800–$202,800 — the shaded band above. At the midpoint, this role pays about $155k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Northern Trust

Northern Trust is a leading provider of wealth management, asset servicing, asset management, and banking services to corporations, institutions, and high-net-worth individuals. Industry: Financial Services & Asset Management

Northern Trust currently has 48 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 43 roles with salary data.

Most-posted roles

View all roles at Northern Trust

At a glance

TL;DR · Data Analytics Engineer

The Data Analytics Engineer joins a team focused on delivering large-scale technology platforms and driving continuous transformation to minimize technical debt. In this role, you will design data-driven AI solutions for complex business needs, lead technology proof of concepts, and provide architectural direction to engineers while managing stakeholder relationships. You will evangelize data strategy through documentation and cross-team negotiations to support strategic goals within an Agile environment. The position requires advanced skills in ML, AI, and GenAI, alongside expert knowledge of relational and NoSQL data stores, database architecture, ontology, and taxonomy design. Candidates must possess a Bachelor’s degree in Computer Science or a related field and have experience in systems analysis, application program development, and various programming languages to solve problems within the investment and asset management domains.

What you'll do

  • Design data-driven AI and machine learning solutions to meet complex business needs.
  • Manage stakeholder relationships and executive expectations through effective project management.
  • Evangelize data strategy by leading design, documentation, and cross-team negotiations.
  • Lead technology proof of concepts to ensure the feasibility of architectural solutions.
  • Provide technical architecture direction for engineers to support established technical patterns.
  • Drive continuous technology transformation to minimize technical debt and improve system efficiency.
  • Analyze industry trends to identify opportunities for leveraging new technologies within the enterprise.
  • Define target state technology architectures and roadmaps aligned with IT initiatives.

What we're looking for

  • Bachelor's degree in Computer Science or a related discipline is required.
  • Advanced data analytics skills using ML, AI, and GenAI are required.
  • Expert understanding of relational/NoSQL data stores, database architecture, ontology, and taxonomy design.
  • Experience in systems analysis and application program development is required.
  • Experience with various technical programming languages and phase report studies is required.
  • Proven experience driving change, transformation, and process improvement initiatives.
  • Ability to manage relationships with stakeholders and executive leadership to achieve business outcomes.
  • Work Authorization.

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