AI Data Engineer
Overview
Placement Type:
Temporary
Salary:
$69.51-77.23 Hourly
Start Date:
10.01.2025
This is a US based remote position. It will start as a 9 month engagement but could extend up to 18 months.
Unleash Your Data Engineering Expertise and Revolutionize Analytics! Partner with a global leader in technology and innovation, and become an integral part of a team transforming how we understand and utilize data. This is your chance to make a significant impact on a large-scale data migration to a cutting-edge analytics platform.
As a Data Engineer on the Analytics & ETL team, you’ll be at the forefront of building and scaling our analytics infrastructure. You’ll dive into exciting projects, migrating data estates, integrating data from new vendors, and crafting dynamic dashboards that empower data-driven decisions across the organization. Be a key player in shaping the future of data insights!
What You’ll Do:
- Onboard and transform structured and unstructured data from diverse sources, both live and historical, utilizing various technologies.
- Develop scalable and automated ETL pipelines using Azure Data Factory (ADF), Logic Apps, and Kusto Query Language (KQL).
- Design and maintain real-time dashboards using cutting-edge visualization tools.
- Implement and uphold data modeling and governance standards, ensuring data quality and integrity.
- Collaborate with cross-functional teams to integrate telemetry, license usage, and operational metrics into unified, actionable views.
- Optimize query and pipeline performance for speed, reliability, and cost-efficiency.
Must-Haves:
- 5+ years of hands-on experience in data onboarding, ingestion, and normalization.
- 5+ years of proven expertise in ETL pipeline development using tools like Azure Data Factory, Logic Apps, and Kusto Query Language.
- 5+ years of experience building and maintaining real-time dashboards with data visualization tools.
- Strong scripting skills in Python or Bash.
- Deep understanding of data governance, security, and compliance within cloud environments.
Nice-to-Haves:
- Experience with Splunk.
- Familiarity with license operations, SLI/SLO tracking, and real-time telemetry integration.
- Certifications such as Azure Data Engineer Associate, Microsoft Data Analyst Associate, and Splunk Core Certified User.
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. 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.
Client Description
Join a global technology leader driving innovation and empowering people and organizations worldwide to achieve more. Here, you’ll collaborate with passionate, diverse teams to create impactful solutions that shape the future. The culture prioritizes growth, inclusion, and purpose—where your ideas are valued, and your work drives real change. Wherever your passion lies and wherever your career is headed—you’ll play a role in projects that touch billions of lives. With flexible work options and a supportive environment, you’ll have the tools to thrive both personally and professionally. Be part of something that truly matters.
Why work with AQUENT? Check out our awesome benefits: https://aquent.com/talent/talent-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.