below marketmost similar roles pay hereabove market
This role pays less than
54%
of similar roles. Most pay
$181,250–$259,550
— the blue band above.
At the midpoint, this role pays about
$212k
versus about
$220k
for comparable roles.
Based on 240 similar postings.
Employer
About Nordstrom
Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail
Nordstrom currently has
60 open roles
on FindRole.
Listed pay typically runs
$166,000–$258,000
across 23 roles with salary data.
The Engineering Manager - Digital Insights leads a small team of senior data engineers and analysts within the Technology organization. This role involves managing the team's strategy and delivery to own the data behind digital business measurements, including raw web and app activity, behavioral analytics, demand forecasting, and conversion reporting. You will build and operate a high-scale data platform that transforms interactions into near real-time session-level behavioral data. Key responsibilities include defining technical directions for data capture, ensuring data quality, and aligning stakeholders across product and marketing teams. Required skills include experience with SQL, distributed systems, event streaming, and a modern cloud data stack. Specific tools mentioned include BigQuery, dbt, GA4, Looker, and Tableau to solve complex digital analytics and data modeling problems.
What does a Engineering Manager earn in Washington?
Median $268200 from 37 postings across 10 companies.
Define the technical direction for capturing and processing behavioral data across web and app platforms.
Lead a team of senior data engineers and analysts to develop high-quality data models and pipelines.
Own the strategy and delivery of a high-scale data platform for near real-time behavioral analytics.
Establish and maintain a single trusted source of truth for digital KPIs and business reporting.
Drive agile delivery discipline by shaping clear priorities and consistently meeting committed project dates.
Translate complex data engineering work into clear business value for merchandising, marketing, and strategy partners.
Raise standards for data modeling, transformation, and quality to ensure business confidence in all datasets.
What we're looking for
5+ years of relevant work experience in data engineering.
2+ years of experience managing engineering teams, or strong tech-lead experience ready to step into people management.
Depth in data engineering including building and operating data pipelines at scale with SQL, a modern cloud data stack, distributed systems, and event streaming.
Hands-on experience with digital, behavioral, or clickstream data, specifically web and app analytics at scale.
Demonstrated agile delivery discipline and a track record of influencing without authority to align product, engineering, and business partners.
BA/BS in Computer Science or a closely related field, or equivalent practical experience.
A point of view on digital analytics strategy regarding how a retailer should collect, govern, and report web and app data (preferred).
Hands-on experience with web analytics platforms, modern BI tools, cloud data warehousing, and leading end-to-end migrations (preferred).
Machine Learning
Generative AI
Kubernetes
Vertex AI
SRE
Model Serving
Training Pipelines
Cloud Infrastructure
Observability
SLOs
Incident Response
Agile