Data Analytics Engineer

Northern Trust

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$114,500–$194,700 / yr
Employment
Full-time
Posted
96 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $162k
This role $155k
$104k $208k
below market most similar roles pay here above market

This role pays more than 50% of similar roles. Most pay $126,800–$198,037 — the blue band above. At the midpoint, this role pays about $155k versus about $162k 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 107 open roles on FindRole.

Listed pay typically runs $114,500–$194,700 across 77 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 global team to design and implement data-driven AI solutions for complex business needs. This role involves managing stakeholder relationships, evangelizing data strategy, and leading technology proof of concepts to ensure architectural feasibility. You will drive continuous technology transformation to minimize technical debt, define target state architecture roadmaps, and contribute to a fast-paced Agile team. Key responsibilities include providing architectural direction for engineers, managing PII and cyber-security, and overseeing ontology and taxonomy design. Required expertise includes advanced data analytics using ML, AI, and GenAI, alongside deep knowledge of relational and NoSQL data stores, dimensional database concepts, and various programming languages. The role specifically addresses technical and business problems within the investment management and asset management domains.

What you'll do

  • Design and implement data-driven AI solutions using ML, AI, and GenAI for complex business needs.
  • Provide architectural direction and technical patterns to engineers to support large-scale technology platforms.
  • Lead technology proof of concepts to ensure the feasibility of proposed architecture solutions.
  • Define target state technology architectures and roadmaps aligned with IT initiatives.
  • Drive continuous technology transformation to minimize technical debt and improve architectural efficiency.
  • Manage stakeholder relationships to set expectations and maintain client satisfaction through effective project management.
  • Participate in Agile ceremonies including planning, documentation, execution, testing, and project launch.
  • Analyze industry and technology trends to identify opportunities for capitalizing on new technological advances.

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.
  • Expertise in designing data-driven AI solutions for complex business needs is required.
  • Expert level understanding of relational and dimensional database concepts, architecture, ontology, and taxonomy design is required.
  • Deep understanding of relational and NoSQL data stores, methods, and approaches is required.
  • Experience in systems analysis, application program development, and various technical programming languages is required.
  • Investment Management or Asset Management experience is recommended (preferred).
  • Work Authorization.

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