We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Data Engineer

Skill
$70.00 - $76.00 / hr
sick time
United States, Washington, Redmond
Oct 14, 2026
Overview

Placement Type:

Temporary

Salary:

$70-76 Hourly

up to $76.00/hr

Start Date:

Sep 30, 2026

Aquent is proud to partner with a leading technology company that stands at the forefront of innovation, consistently pushing boundaries and setting new industry standards. This organization is renowned for transforming industries through groundbreaking solutions and driving significant global impact.

Are you ready to make a profound impact? As an Aquent talent, you will step into a pivotal role where your analytical prowess and technical expertise will directly influence key business decisions and operational excellence. You will be instrumental in shaping critical workforce strategies and optimizing data processes, directly impacting the company's efficiency and strategic decision-making. This is a dynamic opportunity to leverage your skills to build robust data foundations, develop sophisticated models, create efficient data pipelines, and deliver automated analytical solutions that empower teams and drive strategic initiatives. You will contribute to projects that shape the future of how this leading company manages its most valuable asset: its people.

What You'll Do



  • Develop, maintain, and enhance staffing and workforce planning models to support strategic decision-making.
  • Build and optimize data pipelines using Azure Data Factory (ADF) and other related Azure services.
  • Develop analytical solutions and automation scripts primarily using SQL and Python.
  • Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning to ensure optimal performance.
  • Support critical data integrations, ETL processes, and comprehensive reporting solutions.
  • Work with tabular data models, including SSAS cubes, to provide deep analytical insights.
  • Ensure data quality, reliability, and scalability across all planning and reporting platforms.
  • Partner closely with business stakeholders to translate complex workforce planning requirements into effective analytical solutions.


Required Skills & Experience



  • Advanced SQL development and database design expertise.
  • Strong Python programming skills, specifically for data analysis, automation, and data engineering tasks.
  • Extensive experience with Azure SQL Database administration, including performance tuning and troubleshooting.
  • Proven ability in Azure Data Factory (ADF) pipeline development and maintenance.
  • Experience building and maintaining analytical and forecasting models.
  • Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling.
  • A solid understanding of Azure data platform services and cloud-based data architectures.
  • Exceptional analytical, troubleshooting, and communication skills.
  • Bachelor's degree in a technical field such as computer science, computer engineering, or a related discipline.
  • 5+ years of applicable experience in data analysis and engineering.


What Will Set You Apart



  • Related experience within the technology industry, demonstrating a deep understanding of its unique data challenges and opportunities.


About Aquent Talent

Aquent Talent connects the best talent in marketing, creative, and design with the world's biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits!

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We're about creating an inclusive environment-one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.

Applied = 0

(web-9db6c7984-s8fps)