BI Engineer

Seattle, WA, 98109

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Type: Contract

Reference ID: 32103600

Date Posted: 04/03/2026



Job Title: BI Engineer / Analyst

Location: Hybrid (1-2 days/week onsite) – Seattle, WA 98109
Start Date: ASAP
Duration: 6 month contract (40 hours/week)
Compensation: $76-83/HR W2
This position is eligible for medical, dental, vision, and 401(k).

Role Overview

We are seeking a Business Intelligence Engineer/Analyst to support data-driven decision-making in a fast-paced, large-scale technology environment. The role involves collaborating with marketing, data science, and other stakeholders to extract, process, and visualize data, providing actionable insights across multiple business channels.

Key Responsibilities

  • Collaborate with business teams to deliver dashboards, reports, and analyses.
  • Analyze customer acquisition, channel performance, and other key business metrics.
  • Develop and maintain dashboards and data visualizations using Tableau and Quicksight.
  • Build, optimize, and maintain ETL pipelines for large-scale datasets.
  • Apply statistical analysis techniques to support business decisions.
  • Translate business requirements into technical solutions.
  • Automate data processes and reporting using Python and SQL.

Required Qualifications

  • 5 years of professional experience in business intelligence, data analysis, or related fields.
  • Strong SQL skills and experience querying databases or data warehouses (Redshift, Oracle, NoSQL).
  • Proficiency in Python for data processing and automation.
  • Experience with data modeling, warehousing, and ETL pipeline development.
  • Expertise in data visualization tools: Tableau and Quicksight.
  • Experience with statistical analysis packages (R, SAS, or MATLAB).
  • Bachelor's degree in a related technical field.
  • Self-starter with strong curiosity, able to work efficiently under deadlines.
  • Experience at a major tech company or large-scale technology environment

Preferred Qualifications / Nice-to-Haves

  • Hands-on experience with AWS solutions (EC2, S3, DynamoDB, Redshift).
  • Knowledge of data mining, machine learning, or information retrieval.
  • Experience translating business requirements into actionable technical solutions.
  • Familiarity with advanced SQL and automation scripting for large datasets.

Additional Information

  • Strong communication skills and ability to collaborate across cross-functional teams.
  • Ability to work in a hybrid onsite environment in Seattle (1-2 days/week).

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